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The Role The Fidelity Fund and Investment Operations (FFIO) technology team is looking for a best-in-class Full stack senior software engineer to collaborate and deliver the top quality scalable systems solutions. Building a new product, this position requires a hands-on, lead-by-coding leadership as well as mentoring a team of developers as they journey to becoming better developers. Collaborating with architects, and business partners, you will be building a Java Spring/Springboot microservice backend and Angular UI running in EKS clusters in AWS. The value you deliver will include: <ul> <li>Providing technology solutions by developing software applications along with demonstrating a solid understanding of the business functions for which the application is designed </li><li>Displaying a full understanding of the software development process including analysis, design, development, system and integration testing, problem resolution and planning </li><li>Supporting and performing all phases of testing leading to implementation </li><li>Driving the culture of innovation, research and technical excellence to remain at the forefront of technology and thought leadership </li></ul> The Expertise and Skills You Bring <ul> <li>A minimum of 8 years of software application development experience, with financial/asset management industry experience is a plus </li><li>You have a BS/MS or equivalent experience in the areas of Computer Science, Engineering, or Information Technology and you want to learn more </li><li>Extensive Front End Application Development using Angular, Typescript, HTML5, CSS, Events and Async processing, Websockets, VUEJs, SveLTE, UI interoperability tool Glue42, Interop.io along with Java Spring/Springboot, and SQL (Oracle preferred) </li><li>Exposure to Blockchain technologies like Web3, smart contract development (Solidity, Rust), cryptography will be an advantage </li><li>Ability to apply standard processes across the teams in areas such as Unit testing, Automation (Cypress/Playwright), ATDD, DevOps, CI/CD, design, and code reviews </li><li>Exposure to cloud technologies such as AWS, Docker, and Kubernetes would be an advantage </li><li>Demonstrated experience working on Finance-related software projects focusing on asset management </li><li>Work with engineering and product managers, architects, team of blockchain engineers and full stack engineers. </li><li>Promotes and demonstrates a learning mindset by staying abreast of emerging trends in technology </li><li>Strong in communication, interpersonal and relationship building skills with which you influence decisions and engagement across all levels of the organization. </li><li>Ability to proactively share your knowledge, expertise, perspectives and nurture a learning culture across your team and the broader organization </li><li>Work closely with globally distributed product, engineering and business teams across regions which may include working across time zones and travel for business workshops, planning sessions and meetings </li></ul>

Fidelity TalentSource

Full Stack Engineer

<h3>Job Description:</h3>Note: Fidelity will not provide sponsorship for this role.The RoleAs a Manager of Quantitative Analysis within the Model Assurance, Testing &amp; Controls team, you will play a critical role in safeguarding the firm and its clients by ensuring the integrity, reliability, and effectiveness of models used to detect and prevent financial crime. You will be leading technical initiatives that enable and streamline Model Risk Management (MRM) reviews and supporting development that upholds principles of transparency, reproducibility, and sound model design. Work with us to uphold strong standards in financial crime prevention.Key Responsibilities<ul><li>Crafting automated back-testing frameworks to evaluate machine learning models</li><li>Collaborating with cross-functional teams to strengthen governance and controls</li><li>Providing domain expertise in quantitative methods and help advance continuous improvement of model assurance practices</li></ul>The Expertise and Skills You BringYour Python skills, combined with your experience with Snowflake and other database platforms, make you a significant contributor. You have a firm grasp of statistical modeling and machine learning ideas along with a familiarity of MRM principles and regulatory requirements. You’re looking to apply your cryptocurrency and blockchain technology experience to risk controls, ensuring transactions remain safe, compliant, and customer focused. You’re eager to learn and apply large language models (LLMs) along with traditional development approaches to boost productivity. Your capacity to handle several projects effectively and your strong analytical and problem-solving skills are essential for this position.<ul><li>BS/BA or MS/MA degree in quantitative finance, Statistics, Mathematics, Computer Science, or related field, or equivalent experience.</li><li>Skilled in writing and understanding SQL across multiple database types, with an emphasis on Snowflake. Familiarity with SnowSQL and Snowpark for data handling and replication is a plus.</li><li>Experience with Python for data analysis, automation, and testing frameworks.</li><li>Knowledge of principles related to managing model risk and regulatory guidelines is a plus.</li><li>Excellent analytical, problem-solving, and communication skills.</li></ul>The TeamOur Financial Crimes Models &amp; Analytics team within Fidelity’s Enterprise Compliance group is dedicated to protecting our clients and company from financial crimes. We build, develop, and improve detection models, employing machine learning and advanced technologies. By partnering with colleagues across Fidelity, we compose data solutions that support our Financial Crimes Compliance programs. Our dedication to accuracy, regulatory requirements, and robustness ensures our models are world-class, reliable, and effective. Join us in our relentless pursuit of excellence and innovation!The base salary range for this position is $97,000-185,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of <a href="https://jobs.fidelity.com/benefits/" target="_blank">benefits</a> to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.<h3>Certifications:</h3><h3>Category:</h3>Information Technology

Fidelity Investments

Manager, Quantitative Analysis– Model Assurance Testing & Controls

<h3>Job Description:</h3><h3>The Role</h3>As a Senior Systems Analyst, you will play a key role on a Scrum team and within the Digital Platforms Workplace Investing Technology organization. You will work closely with the Squad Lead, Scrum Master, Developers, Quality Assurance, and Architects to craft, build, test, and deliver the features that make up Fidelity’s Digital experiences. You will also be expected to provide guidance and mentoring to the other Systems Analysts within the wider Digital Platforms Technology team.<h3>The Expertise And Skills You Bring</h3><ul><li>5+ years of systems analysis experience; a focus in financial services applications is a plus</li><li>BS/BA Degree or equivalent experience preferred</li><li>Robust critical thinking and analytical skills</li><li>Learns quickly and works through ambiguous situations</li><li>Strong troubleshooting and problem-solving skills</li><li>Ability to triage system defects in all environments</li><li>Excellent written and oral communication skills</li><li>Proactive, organized, highly responsive and committed to quality</li><li>Applies a long-term mentality to help produce scalable and maintainable solutions</li><li>Ability to work with a variety of individuals and groups in a constructive and collaborative manner</li><li>Confidence to convey technical concepts, capabilities and needs to team members, product owners and other internal partners</li><li>Asks exploratory questions to uncover hidden or un-identified use cases and requirements</li><li>Proficiency in writing supporting documentation including product guides, business process diagrams and/or system workflows</li><li>Skilled at influencing team members and external groups</li><li>Passion to provide guidance on standard methodologies and mentoring support to junior Systems Analysts</li></ul><h3>Your familiarity with the following will be a plus:</h3><ul><li>An understanding of the Agile software development methodology</li><li>Ability to perform technical analysis of sophisticated Web application development concepts</li><li>Experience with database query tools / Strong SQL skills</li><li>Experience with Jira and Confluence</li><li>Working understanding of QA automation</li></ul><h3>The Team</h3>Fidelity's Workplace Investing Digital Platforms Technology team designs, develops, implements, and supports WI’s suite of Digital products and services. The Digital Platforms development team focuses on delivering innovative solutions that meet the needs of our customers. Our systems professionals thrive, with a steadfast dedication to innovation, which furthers a culture of continuous improvement and significant achievement. We see ourselves as a vital link to Fidelity's customers. This is a fast-paced group that is using ground-breaking technologies to build powerful tools and outstanding user experiences for our customers, using Java-based technologies.<h3>Company Overview</h3>At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want! We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com. Fidelity Investments is an equal opportunity employer.<h3>Certifications:</h3><h3>Category:</h3>Information TechnologyMost roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Senior Systems Analyst

<h3>Job Description:</h3>Note: Fidelity will not provide immigration sponsorship for this position.<h3>Principal Storage Engineer</h3>The Role As a Principal Storage Engineer, you will design, implement, and manage enterprise-grade storage solutions that support business-critical workloads across the firm’s financial services. You’ll work within a team of technical engineers responsible for distributed block storage infrastructure, ensuring secure, highly available storage services for critical applications.The Expertise You Have<ul><li>Proven experience in distributed storage engineering, including product selection, implementation, and lifecycle management</li><li>10+ years managing block storage platforms</li><li>Deep knowledge of data replication, snapshots, and disaster recovery solutions</li><li>Hands-on experience with multiple block storage arrays and vendors</li><li>Expertise in large Fiber Channel SAN environments and iSCSI protocol</li><li>Strong troubleshooting skills with the ability to identify root causes of storage incidents</li><li>Background in capacity planning and performance optimization</li><li>Security-first mindset ensuring compliance and protection of critical systems</li><li>Solid computer science foundation across distributed compute and storage</li><li>Familiarity with server and networking technologies (a plus)</li><li>Understanding of vendor capabilities, budgeting, and business case development</li><li>Knowledge of cloud storage and computing (preferred).</li></ul>The Skills You Bring<ul><li>Deep understanding of storage technologies (SAN/Block, NAS, Object, Cloud)</li><li>Practical experience with storage protocols (Fiber Channel, iSCSI, NVMe)</li><li>Ability to manage technology lifecycle and maintain compliance</li><li>Strong coding skills for automation of operations</li><li>Solid grasp of cybersecurity principles for secure solutions</li><li>Experience with one or more general-purpose programming languages</li><li>Ability to manage vendor relationships and influence product development</li><li>Leadership and crisis management during critical incidents</li><li>Clear communication skills for executive updates and technical discussions</li><li>Strong prioritization and project management abilities.</li></ul>The Team You’ll join an international team of engineers delivering best-in-class distributed storage services. Your expertise will help drive strategic technology decisions supporting financial customers. Through collaboration with leadership, product management, architecture, and support teams, you’ll ensure timely delivery of critical initiatives. Responsibilities include:<ul><li>Managing lifecycle of multiple vendor block storage platforms</li><li>Performing hardware break/fix, firmware updates, and capacity management</li><li>Certifying new capabilities through regression testing</li><li>Managing SAN infrastructure supporting large physical and virtual server environments</li></ul><h3>Certifications:</h3><h3>Category:</h3>Information TechnologyMost roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Principal Storage Engineer

<h3>Job Description:</h3>Note: Fidelity will not provide immigration sponsorship for this positionThe successful candidate will be accountable for managing a team to define, prioritize, and deliver on strategic program deliverables. Objective is to enhance the organization's cybersecurity posture by mitigating known vulnerabilities, preventing lateral movement, and improving our Identity and Access security posture.The ideal candidate will have expertise in Active Directory, Entra ID, Identity governance, Authentication controls, and product management experience. You will collaborate with other Identity and Access Management (IAM) leaders to ensure alignment on overall strategy and program deliverables.In this role you will:<ul><li>Own accountability for the team’s approach, planning, and engagement model to ensure continued alignment and prioritization of the product roadmap</li><li>Demonstrate strong acumen to translate IAM control enhancements into deliverables/milestones at the sub-initiative and epic level</li><li>Leverage agile routines to coordinate planning and prioritization, including technology strategy, capability design, objectives and KPIs, ensuring that the development sequence is aligned</li><li>Provide day-to-day leadership for a delivery team comprised of engineering, quality, and analyst resources, and indirect leadership of supporting teams such as architecture, program management, and other COEs</li><li>Build a high-performing engineering team, identifying and supporting on-going learning opportunities, and ensuring that the talent composition aligns with strategic business priorities and workforce planning</li><li>Contribute to proactive research, vendor evaluations, and recommendation of new &amp; existing capabilities that align to product and/or IAM strategies</li><li>Oversee control &amp; service observability, stability &amp; resiliency, operations, and monitoring aligned to the policies, standards, and technical guidelines of the broader technology organization</li></ul>The Expertise You Have and The Skills You Bring <ul><li>7+ years of experience in a technology and leadership role, preferably managing risk utilizing the NIST cybersecurity framework</li><li>Deep understanding of Identification and Authentication controls, IAM principles such as SAML and OpenID Connect, and Authentication Assurance Levels (AALs)</li><li>Demonstrated experience in agile team practices, planning ceremonies, and delivery</li><li>You are a committed people leader, capable of setting strategic direction and coaching others to deliver results and impact to achieve that strategy</li><li>You have strong communication, interpersonal and relationship building skills with which you influence and engage across Fidelity and at all levels of the organization</li><li>You have senior level experience leading the development of solutions and offerings aligned with and in support of the strategic direction of the business</li><li>You leverage critical thinking and a product mindset, taking a data-focused approach to objective decision making</li></ul>The Team Fidelity’s Directory and Authentication group manages the identity and authentication security controls that help protect our workforce associates. Our teams are aligned to a set of enterprise services for managing our workforce identities, providing organizational scale of digital resources, and enhancing our access security controls.<h3>Certifications:</h3><h3>Category:</h3>Information TechnologyMost roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Team Leader - Directory Services Hardening

<h3>Job Description:</h3>Principal Machine Learning Ops EngineerAs a Principal Machine Learning Ops Engineer within the Enterprise Data Science Platform team, you will create frameworks to support large-scale ML infrastructure and pipelines, including tools for the containerization and deployment of ML models. Collaborating with Data Scientists, you will develop advanced analytics and machine learning platforms to enable the prediction and optimization of models. You will extend existing ML platforms for scaling model training and deployment, and partner with various business and engineering teams to drive the adoption and integration of model outputs. This role is essential in leveraging Data Science to deliver exceptional customer experiences in financial services.The TeamThe enterprise data science platform (part of the Fidelity Data Architecture team in the Enterprise Technology BU) is focused on delivering AI/ML solutions for the organization. As part of this team, you will be responsible for building advanced cloud and software solutions in collaboration with Data Scientists to support packaging, deployment, and scaling of AI/ML Models in production.The Expertise You Have<ul><li>Has bachelor’s or master’s Degree in a technology related field (e.g. Engineering, Computer Science, etc.).</li><li>8+ years of proven experience in developing and implementing Python-based cloud applications and/or machine learning solutions.</li><li>2+ years of experience in developing ML infrastructure and MLOps in the Cloud using AWS Sagemaker.</li><li>5+ years of experience in building cloud-native applications using a range of AWS services, including but not limited to SageMaker AI, Bedrock, S3, CloudFormation (CFT), SNS, SQS, Lambda, AWS Batch, Step Functions, EventBridge, and CloudWatch. Familiarity with both Azure Cognitive Services, particularly for deploying OpenAI models, and Google Compute Vertex is beneficial.</li><li>Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required.</li><li>Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python’s ML ecosystem (numpy, panda, sklearn, tensorflow, etc.).</li><li>Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks.</li><li>Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API and in-memory technologies.</li><li>Strong knowledge of developing highly scalable distributed systems using Open-source technologies.</li><li>Strong experience with CI/CD tools, particularly Jenkins, for automating and streamlining the software development pipeline. Proficient in using version control systems like Git for effective code management and collaboration. Hands-on experience with containerization technologies such as Docker for building and deploying applications. Expertise in infrastructure as code (IaC) services, including AWS CloudFormation and tools like Terraform or OpenTofu, for managing and provisioning cloud resources</li><li>Solid experience in Agile methodologies (Kanban and SCRUM).</li></ul>The Skills You Bring<ul><li>You have strong technical design and analysis skills.</li><li>You the ability to deal with ambiguity and work in fast paced environment.</li><li>Your experience supporting critical applications.</li><li>You are familiar with applied data science methods, feature engineering and machine learning algorithms.</li><li>Your Data wrangling experience with structured, semi-structure and unstructured data.</li><li>Your experience building ML infrastructure, with an eye towards software engineering.</li><li>You have excellent communication skills, both through written and verbal channels.</li><li>You have excellent collaboration skills to work with multiple teams in the organization.</li><li>Your ability to understand and adapt to changing business priorities and technology advancements in Big data and Data Science ecosystem.</li></ul>The Value You Deliver<ul><li>Designing &amp; developing a feature generation &amp; store framework that promotes sharing of data/features among different ML models.</li><li>Partner with Data Scientists and to help use the foundational platform upon which models can be built and trained.</li><li>Operationalize ML Models at scale (e.g. Serve predictions on tens of millions of customers).</li><li>Build tools to help detect shifts in data/features used by ML models to help identify issues in advance of deteriorating prediction quality, monitoring the uncertainty of model outputs, automating prediction explanation for model diagnostics.</li><li>Exploring new technology trends and leveraging them to simplify our data and ML ecosystem.</li><li>Driving Innovation and implementing solutions with future thinking.</li><li>Guiding teams to improve development agility and productivity.</li><li>Resolving technical roadblocks and mitigating potential risks.</li><li>Delivering system automation by setting up continuous integration/continuous delivery pipelines.</li></ul>The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of <a href="https://jobs.fidelity.com/benefits/" target="_blank">benefits</a> to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.<h3>Certifications:</h3><h3>Category:</h3>Information Technology

Principal, AI/ML Engineer

Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.Why join Harvard Business School?Harvard Business School, located on a 40-acre campus in Boston, was founded in 1908 as part of Harvard University. It is among the world's most trusted sources of management education and thought leadership. For more than a century, the School's faculty has combined a passion for teaching with rigorous research conducted alongside practitioners at world-leading organizations to educate leaders who make a difference in the world. Through a dynamic ecosystem of research, learning, and entrepreneurship that includes MBA, Doctoral, Executive Education, and Online programs, as well as numerous initiatives, centers, institutes, and labs, Harvard Business School fosters bold new ideas and collaborative learning networks that shape the future of business.Be a pioneer in&nbsp;business, education, and global impact&nbsp;by joining&nbsp;the Harvard Business School&nbsp;(HBS)&nbsp;Digital Transformation team - a&nbsp;“startup with assets,” where you will have the chance to&nbsp;deploy&nbsp;cutting-edge&nbsp;digital- and emerging-technology education&nbsp;solutions. Where else can you make a difference at the intersection of&nbsp;technology, world-class education, noble purpose, and timeless legacy?&nbsp; Job Description Job Summary: As our Lead Software Engineer, you will collaborate with and shepherd software engineers, data scientists, and machine learning engineers, and will develop AI-based software solutions to better address the needs of our constituents (students, alumni, faculty, researchers, staff, and community at large). You will have the chance to guide and continuously improve the ways in which we engage, educate, and empower people around the world, combining the best of human touch and technology scale, exploring the use of everything from the latest generative AI models to blended and immersive environments, multi-modal and varied-form content, and the most innovative research and teaching methodologies. 
Job-Specific Responsibilities:<ul><li>Develop production-ready software solutions that solve real business problems, taking into account business needs and technology/operations landscape; lead interaction with internal stakeholders and technology on specific projects and initiatives</li><li>Apply software engineering, data science, machine learning, and AI techniques to derive business value from the full range of internal and external data, leveraging Cloud-based technology</li><li>Design solutions, build initial code, and provide documentation with ways of working to minimize time to value and maximize re-usability</li><li>Translate complex data and methodology into strategic, operationally feasible insights and recommendations; automate implementation</li><li>Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in</li><li>Identify trends and opportunities to drive innovation, both in what we do and how we do it; evaluate new software engineering, data science, machine learning, and AI technologies and tools that can boost team performance, innovation, and business value</li><li>Manage, coach, and mentor a team of software engineers and data scientists, serving as a predominant technical expert</li><li>Actively contribute to and re-use community best practices</li><li>Embody the values and passions that characterize Harvard Business School, with empathy to engage with colleagues from a wide range of backgrounds</li><li>Promote software engineering, data science, machine learning, AI, and digital and emerging technologies at Harvard Business School in relevant channels through community engagement, networking, speeches, and publications as applicable.</li><li>Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents.</li><li>This role is responsible for other duties as assigned.</li></ul> Qualifications Basic Qualifications:<ul><li>Minimum of seven years’ post-secondary education or relevant work experience</li></ul>Additional Qualifications and Skills: Required skills<ul><li>Bachelor’s/Advanced Degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or 7+ years equivalent work experience</li><li>3-5 years of experience in developing a variety of software products in a commercial environment</li><li>2+ &nbsp;years of experience in building generative AI-based products.</li><li>Strong Python and Typescript/JavaScript skills required;</li><li>Expertise in multivariate statistical modelling (e.g., clustering, regression, principal components and factor analysis, time-series forecasting, Bayesian methods) and modern machine learning (ensemble methods, regularization, gradient boosting, representation learning, deep neural networks, transformers architectures, self-supervised learning, and MLOps fundamentals) required</li><li>Experience with cloud computing platforms (AWS, GCP, or other), or equivalent on-premise platform</li><li>Experience working in agile methodology is required</li><li>Prior experience in leading data science and machine learning based software development projects&nbsp;focused on solving business problems and seizing business opportunities</li></ul>Desired skills<ul><li>Proficiency in SQL desirable</li></ul><ul><li>Ability to mentor and lead others; provide hands-on technical guidance; conduct code reviews</li><li>Ability to simultaneously coordinate and track multiple deliverables, tasks, and dependencies across multiple stakeholders / business areas</li><li>Experience with deep learning and neural network architectures (e.g., CNNs, RNNs, transformers), including generative and self-supervised models, and with frameworks such as TensorFlow or PyTorch is desirable.</li><li>Proficiency with data visualization tools is desirable</li></ul> Additional Information <ul><li>Standard Hours/Schedule: 40 hours per week</li><li>Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position</li><li>Pre-Employment Screening: Identity, Education, Criminal</li><li>Other Information:&nbsp;</li><li>This role has the possibility of being remote or hybrid. We consider hybrid to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite a minimum of 3 days per week and departments provide onsite coverage Monday – Friday. Remote work may be considered for individuals living at least 100-mile radius from campus and where all work will be completed within a state that Harvard is registered to do business in (CA - exempt roles only, CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT or WA). Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice.</li><li>We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role</li><li>As part of our evaluation, candidates are required to complete a&nbsp;Take Home Assignment&nbsp;after clearing Technical Recruiter Screen. This assignment will test your specific skills/knowledge areas relevant to the role.</li><li>A cover letter is required to be considered for this opportunity&nbsp;</li></ul>Work Format DetailsThis position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on <a href="https://harvie.harvard.edu/sites/g/files/omnuum12046/files/humanresources/files/employment_outside_ma_policy.pdf" target="_blank">Employment Outside of Massachusetts</a>. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.
Salary Grade and RangesThis position is salary grade level 060. Please visit &nbsp;<a href="https://hr.harvard.edu/salary-ranges" target="_blank">Harvard's Salary Ranges</a>  to view the corresponding salary range and related information.&nbsp;
BenefitsHarvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:&nbsp;<ul><li>Generous paid time off including parental leave&nbsp;</li><li>Medical, dental, and vision health insurance coverage starting on day one&nbsp;</li><li>Retirement plans with university contributions&nbsp;</li><li>Wellbeing and mental health resources&nbsp;</li><li>Support for families and caregivers&nbsp;</li><li>Professional development opportunities including tuition assistance and reimbursement&nbsp;</li><li>Commuter benefits, discounts and campus perks&nbsp;</li></ul>Learn more about these and additional benefits on our <a href="https://hr.harvard.edu/benefits-wellbeing" target="_blank">Benefits &amp; Wellbeing Page</a>.&nbsp;
EEO/Non-Discrimination Commitment StatementHarvard University is committed to <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal opportunity</a> and <a href="https://provost.harvard.edu/sites/g/files/omnuum3356/files/2025-07/non-discrimination_and_anti-bullying_policies.pdf" target="_blank">non-discrimination</a>. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.Harvard has an <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal employment opportunity policy</a> that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's <a href="https://provost.harvard.edu/sites/g/files/omnuum3356/files/2025-07/non-discrimination_and_anti-bullying_policies.pdf" target="_blank">non-discrimination policy</a>. Harvard's <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal employment opportunity policy</a> and <a href="https://provost.harvard.edu/sites/g/files/omnuum3356/files/2025-07/non-discrimination_and_anti-bullying_policies.pdf" target="_blank">non-discrimination policy</a> help all community members participate fully in work and campus life free from harassment and discrimination.

Harvard University FAS Human Resources

Lead Software Engineer, Digital Transformation

Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.Why join Harvard Medical School?Harvard Medical School's mission is to nurture a diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership.You’ll be at the heart of biomedical discovery, education, and innovation, working alongside world-renowned faculty and a community dedicated to improving human health. This is more than a job - it’s an opportunity to shape the future of medicine. Job Description Job Summary:Lead comprehensive applications/web development for highly complex projects; typically work as part of a team to implement complex business solutions. Deliver strategic and expert coding; focus on overarching development strategy for a large, complex, multi-faceted application. May manage a number of projects simultaneously. 
Job-Specific Responsibilities: The Department of Biomedical Informatics (DBMI) at Harvard Medical School is looking for a Senior Full Stack Software Engineer Tech Lead to technically lead a team to build cutting edge research platforms. We seek an individual to work on our multidisciplinary team of data scientists, medical doctors, and developers. Our team studies large and disparate datasets from the domains of biology, healthcare, and social media. The goal of our efforts is to transform healthcare and research to usher in a new age of individualized data-driven medicine. For this project, we are working with several data registries to create an “Information Commons” where researchers can go to browse and analyze data. We seek a Tech Lead to help guide the vision of an open-source research API known as the PIC-SURE API and the integration of this API with other applications in our research infrastructure like JupyterHub, etc. The incumbent will play a role in clarifying requirements, participating in architectural discussions, proposing and implementing solutions, and reporting on their progress to the team.Responsibilities:&nbsp;<ul><li>Leading the development and maintaining new and pre-existing features of and integrate applications with our existing APIs as well as third-party API.&nbsp;</li><li>Leading the development and implementation of complex software solutions that include security and authorization levels to ensure participant-level data is secure.&nbsp;</li><li>Lead technical support, testing and deploying software in multiple environments that have different security access, including the HMS-IT FISMA enclave. Identifying risks and forming contingency plans as soon as possible. Test and deploy software in multiple environments with varying security access, including the HMS-IT FISMA enclave. Subject matter expert about the FISMA security requirements to ensure participant-level data is secure.&nbsp;</li><li>Subject matter expert of the Avillach Lab infrastructure and architecture, including leadership in creation, and maturing of software development best practices and new technologies that influence long-term software and data governance, costs, and workflows.&nbsp;</li><li>Leading the full software development life cycle.&nbsp;</li><li>Create and maintain reproducible data pipelines and ensure that all code has proper test coverage.&nbsp;</li><li>Work with research scientists both internally and externally to clarify software requirements. Draw on relationships and technical skills to act as a technical expert to internal and external clients. Break down complex technical concepts into understandable information for non-technical audiences.</li><li>Propose solutions to these requirements, weighing the costs and benefits with our team as well as a broader group of stakeholders involved in the open-source community.</li><li>Staff leadership, determining project requirements and developing work schedules for the team, implement solutions and update the team on the status of work.</li><li>Lead team members in architectural discussions and general improvements across all team projects as directed.</li><li>Strategically advise on the technical skills required for the team. Collaborate with the hiring manager to define the job skills and technical capabilities required for new hires. Participate in the hiring process by interviewing potential candidates and providing feedback to the hiring manager.&nbsp;</li></ul> Qualifications Basic Qualifications: <ul><li>Minimum of seven years’ post-secondary education or relevant work experience.</li></ul> 
Additional Qualifications and Skills: <ul><li>Front End: User interface design and implementation using modern JavaScript tools such as Svelte, React, etc. &nbsp;</li><li>Back End: Java, Springboot.</li><li>DevOps: Docker, Terraform, Cloud formation, AWS Lambda. &nbsp;</li><li>Professional experience with one or more of (Node.Js, Python, R).</li><li>Interfacing with various data storage and indexing solutions like MySQL, Oracle, SQL Server and others.</li></ul> Additional Information <ul><li>Term:&nbsp;This is a term position with an end date of June 30, 2026, with the possibility of extension, contingent upon work performance and continued funding to support the position.&nbsp;Following the initial June 30, 2026 term end date this position will be renewed on an annual basis.&nbsp;</li><li>Standard Hours/Schedule: 35 hrs. per week | Monday - Friday | 9:00 am - 5:00 pm</li><li>Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position.</li><li>Pre-Employment Screening: Identity</li><li>Other Information:&nbsp;Please note that we are currently conducting a majority of interviews and onboarding remotely and virtually. We appreciate your understanding.</li><li>Staying Informed About Your Application: Due to the high volume of applications, we may not always be able to reach out right away, but you can track your status anytime through the Careers@Harvard portal.</li></ul>#LI-DK1Work Format DetailsThis position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on <a href="https://harvie.harvard.edu/sites/g/files/omnuum12046/files/humanresources/files/employment_outside_ma_policy.pdf" target="_blank">Employment Outside of Massachusetts</a>. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.
Salary Grade and RangesThis position is salary grade level 059. Please visit &nbsp;<a href="https://hr.harvard.edu/salary-ranges" target="_blank">Harvard's Salary Ranges</a>  to view the corresponding salary range and related information.&nbsp;
BenefitsHarvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:&nbsp;<ul><li>Generous paid time off including parental leave&nbsp;</li><li>Medical, dental, and vision health insurance coverage starting on day one&nbsp;</li><li>Retirement plans with university contributions&nbsp;</li><li>Wellbeing and mental health resources&nbsp;</li><li>Support for families and caregivers&nbsp;</li><li>Professional development opportunities including tuition assistance and reimbursement&nbsp;</li><li>Commuter benefits, discounts and campus perks&nbsp;</li></ul>Learn more about these and additional benefits on our <a href="https://hr.harvard.edu/benefits-wellbeing" target="_blank">Benefits &amp; Wellbeing Page</a>.&nbsp;
EEO/Non-Discrimination Commitment StatementHarvard University is committed to <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal opportunity</a> and <a href="https://provost.harvard.edu/sites/g/files/omnuum3356/files/2025-07/non-discrimination_and_anti-bullying_policies.pdf" target="_blank">non-discrimination</a>. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.Harvard has an <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal employment opportunity policy</a> that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's <a href="https://provost.harvard.edu/sites/g/files/omnuum3356/files/2025-07/non-discrimination_and_anti-bullying_policies.pdf" target="_blank">non-discrimination policy</a>. Harvard's <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal employment opportunity policy</a> and <a href="https://provost.harvard.edu/sites/g/files/omnuum3356/files/2025-07/non-discrimination_and_anti-bullying_policies.pdf" target="_blank">non-discrimination policy</a> help all community members participate fully in work and campus life free from harassment and discrimination.

Senior Full Stack Software Engineer Tech Lead

Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.Why join the Harvard Kennedy School?The John F. Kennedy School of Government at Harvard University is one of 12 graduate and professional schools at the university. Harvard Kennedy School’s mission is to improve public policy and leadership so people can live in societies that are more safe, free, just, and sustainably prosperous. By combining cutting-edge research, the teaching of outstanding students, and direct interaction with practitioners, we have an impact on solving public problems that no other institution can match. When you work at Harvard Kennedy School, you make a difference. Job Description Professor Goel’s Computational Policy Lab at the Shorenstein Center at Harvard Kennedy School is seeking a&nbsp;Software Engineer with specialized expertise in software development, generative AI, and data science. This position is housed within the Shorenstein Center on Media, Politics and Public Policy. Through teaching and research at the Kennedy School of Government and its program of visiting fellows, conferences and initiatives, the Center is at the forefront of its area of inquiry.Application Requirements<ul><li>Applications must include the following, or they will be considered incomplete:<ul><li>Resume</li><li>Cover letter including:<ul><li>A link to a piece of code on GitHub that you wrote, ideally something that demonstrates your technical skills and you’d enjoy walking us through if you were selected for an interview.</li><li>A short description of the project you linked to.</li><li>Confirmation that you are legally authorized to work in the United States without sponsorship for at least two years.</li></ul></li></ul></li></ul>Duties and Responsibilities:Core responsibilities encompass specialized tasks including:<ul><li>Independently perform complex applications/web development for projects of large to very large size and complexity&nbsp;</li><li>Design and develop complex software systems for large-scale research projects, with a focus on education technology and generative AI-based tools.</li><li>Leverage recent breakthroughs in machine learning and natural language processing to build, test, and deploy advanced algorithmic tools that underpin rigorous empirical research in real-world environments.</li><li>Lead and collaborate on technically challenging projects involving AI, machine learning, natural language processing, and large-scale experimentation.</li><li>Contribute to the design and execution of randomized controlled trials and other empirical methods used to evaluate the impact of AI-driven interventions.</li><li>Collaborate closely with other researchers to translate theoretical models and experimental designs into high-performance, production-ready systems.</li><li>Co-author or contribute to academic publications and technical reports intended for peer-reviewed journals, conference proceedings, and lay audiences.</li><li>Stay abreast of emerging technologies and research developments related to AI, computational social science, and causal inference.</li><li>Abide by and follow the Harvard University IT technical standards, policies and Code of Conduct.</li></ul>Projects you will work on include, but are not limited to:<ul><li>AI in Education: We are designing and testing AI-powered technologies that go beyond generic tools like ChatGPT to provide tailored support for student learning. Our flagship tool, PingPong, is currently being evaluated through a large-scale randomized experiment across universities and community colleges nationwide. In addition, we are piloting innovations such as virtual lectures, personalized student diagnostics, and teacher co-pilot tools. This role will help design, implement, and scale these technologies so they can be rigorously tested and used in real classroom settings.</li><li>AI in Public Policy: We are engineering AI systems that improve public service delivery and decision-making. Examples include tools that assist county prosecutors in making unbiased charging decisions, help public defender clients to avoid jail time due to missed court dates, and support adjudicators as they process unemployment insurance claims. In this role, you will work on building robust, production-quality systems that can be deployed in high-stakes government environments where reliability, fairness, and performance are critical.</li></ul> Qualifications Basic Qualifications: <ul><li>Minimum of two years’ post-secondary education or relevant work experience</li></ul> 
Additional Qualifications and Skills: <ul><li>Bachelor's degree and/or relevant work experience in computer science, data science, or a closely related field, with a strong emphasis on advanced software engineering, machine learning, artificial intelligence, and empirical research methodologies.</li><li>Experience working with generative AI pipelines.&nbsp;</li><li>Experience deploying software in a cloud environment.</li><li>Demonstrated team performance skills, service mindset approach, and the ability to act as a trusted advisor.</li><li>Experience with Python / TypeScript and familiarity with Svelte / React preferred.</li></ul> Additional Information <ul><li>Appointment End Date: This is a fully benefits-eligible term appointment, ending one year from date of hire, with the possibility of renewal.</li><li>Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position</li><li>Pre-Employment Screening: Identity, Education</li></ul>Important Application instructions:<ul><li>Applications must include the following, or they will be considered incomplete:<ul><li>Resume</li><li>Cover letter including:<ul><li>A link to a piece of code on GitHub that you wrote, ideally something that demonstrates your technical skills and you’d enjoy walking us through if you were selected for an interview.</li><li>A short description of the project you linked to.</li><li>Confirmation that you are legally authorized to work in the United States without sponsorship for at least two years.</li></ul></li></ul></li></ul>Work Format DetailsThis position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on <a href="https://harvie.harvard.edu/sites/g/files/omnuum12046/files/humanresources/files/employment_outside_ma_policy.pdf" target="_blank">Employment Outside of Massachusetts</a>. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.
Salary Grade and RangesThis position is salary grade level 057. Please visit &nbsp;<a href="https://hr.harvard.edu/salary-ranges" target="_blank">Harvard's Salary Ranges</a>  to view the corresponding salary range and related information.&nbsp;
BenefitsHarvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:&nbsp;<ul><li>Generous paid time off including parental leave&nbsp;</li><li>Medical, dental, and vision health insurance coverage starting on day one&nbsp;</li><li>Retirement plans with university contributions&nbsp;</li><li>Wellbeing and mental health resources&nbsp;</li><li>Support for families and caregivers&nbsp;</li><li>Professional development opportunities including tuition assistance and reimbursement&nbsp;</li><li>Commuter benefits, discounts and campus perks&nbsp;</li></ul>Learn more about these and additional benefits on our <a href="https://hr.harvard.edu/benefits-wellbeing" target="_blank">Benefits &amp; Wellbeing Page</a>.&nbsp;
EEO/Non-Discrimination Commitment StatementHarvard University is committed to <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal opportunity</a> and <a href="https://provost.harvard.edu/sites/g/files/omnuum3356/files/2025-07/non-discrimination_and_anti-bullying_policies.pdf" target="_blank">non-discrimination</a>. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.Harvard has an <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal employment opportunity policy</a> that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's <a href="https://provost.harvard.edu/sites/g/files/omnuum3356/files/2025-07/non-discrimination_and_anti-bullying_policies.pdf" target="_blank">non-discrimination policy</a>. Harvard's <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal employment opportunity policy</a> and <a href="https://provost.harvard.edu/sites/g/files/omnuum3356/files/2025-07/non-discrimination_and_anti-bullying_policies.pdf" target="_blank">non-discrimination policy</a> help all community members participate fully in work and campus life free from harassment and discrimination.

Software Engineer, Computational Policy Lab

Take your career further with McLane! McLane teammates, the driving force behind our success, are diverse professionals who work together seamlessly to keep our operations running smoothly. As a teammate, you will pair your dedication, expertise, and collaborative spirit with your fellow teammates to serve America's most beloved brands. McLane leaders think long-term, act with purpose, and inspire high performance. They lead with accountability, communicate clearly, and drive results through collaboration, innovation, and continuous growth. They empower each teammate to learn from industry leaders, develop their skills, and build lasting connections nationwide. Build and oversee the organization's capabilities to detect, respond to, and recover from cyber incidents. Manage and own a broad portfolio of services including incident response, threat intelligence, digital forensics, attack surface management, offensive security, and cyber resilience to ensure the organization is prepared for and resilient against evolving cyber risks. This is a hybrid position which will require the candidate to report and work from the office three days a week. Therefore, interested candidates should be within a 50-minute radius from Temple, TX. Benefits you can count on: <ul><li>Day 1 Benefits: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance </li><li>Paid time off begins day one.</li><li>401(k) Profit Sharing Plan after 90 days.</li><li>Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more!</li></ul> What you'll do as a Cybersecurity Respond &amp; Recovery Director: <ul><li>Lead the enterprise-wide Incident Response program, ensuring rapid and effective containment, investigation, and recovery from cyber incidents across a converged information technology and operation technology (IT/OT) environment </li><li>Oversee Threat Intelligence operations to proactively identify and assess emerging threats and adversary tactics. </li><li>Manage Threat Detection and Threat Response capabilities, ensuring timely identification and mitigation of malicious activity. </li><li>Direct Digital Forensics investigations to support incident analysis, legal proceedings, and root cause determination. </li><li>Own end-to-end leadership, strategic direction, and operational oversight of the Fusion Center, ensuring seamless integration of threat intelligence, incident response and continuous improvement initiatives. </li><li>Lead the comprehensive Vulnerability Management program, ensuring visibility and remediation across all environments. </li><li>Oversee Attack Surface Management to continuously identify and assess external exposures. </li><li>Manage Application Vulnerability Management processes, including secure code reviews and dynamic testing. </li><li>Drive System Vulnerability Management efforts across endpoints, servers, and infrastructure. </li><li>Ensure effective, secure and compliant IT, OT, and Cloud environments. </li><li>Direct the Red Team program to simulate adversarial tactics and uncover weaknesses in defenses. </li><li>Oversee Attack Simulation Testing to validate detection and response capabilities across the kill chain. </li><li>Lead Tabletop Exercises with cross-functional stakeholders to test incident response plans and improve organizational readiness.</li><li>Perform other duties as assigned.</li></ul> Qualifications you'll bring as a Cybersecurity Respond &amp; Recovery Director: <ul><li>Bachelor's degree in cybersecurity, computer science, information technology, or a related field (master's degree preferred). </li><li>Fifteen or more years of progressive experience in information technology. </li><li>Ten or more years of direct experience in cybersecurity incidence response, vulnerability management and/or offensive security. </li><li>Experience with Security Information and Event Management (SIEM), Security Orchestration Automation &amp; Response (SOAR), Endpoint Detection and Response (EDR), Cloud Security Posture Management (CSPM), and Data Loss Prevention (DLP) technologies. </li><li>Relevant certifications (e.g., CISSP, CISM, GIAC, OSCP, CRISC) preferred. </li><li>Proven experience managing incident response, threat intelligence, and vulnerability management programs. </li><li>Excellent problem-solving and analytical skills. </li><li>Effective communication and interpersonal skills. </li><li>Ability to convey complex technical concepts to both technical and non-technical audiences. </li><li>Strong stakeholder management skills, with the ability to influence at all levels of the organization. </li><li>Ability to work independently and as part of a team in a fast-paced environment.</li><li>This position requires the ability to read, write, and understand English at a level sufficient to perform job-related tasks effectively and safely. This includes understanding work instructions, safety protocols, and communications essential to the role. The requirement is directly related to the nature of the job and ensures compliance with workplace safety and operational standards.</li></ul> Fit the following? We want you here! <ul><li>Teamwork oriented </li><li>Organized </li><li>Problem solver </li><li>Detailed</li></ul> Our roadmap. Our story. We've been forging our path as a leader in the distribution industry since 1894. Building an expansive nationwide network of team members for 130+ years has allowed us to stay agile for our clients across the restaurant, retail, and e-commerce industries. We look to the future and are ready to continue making industry-defining moves by embracing the newest technology into our practices, continuing team member training, and emphasizing our people-centered culture. Candidates may be subject to a background check and drug screen, in accordance with applicable laws. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. For our complete EEO and Pay Transparency statement, please visit <a href="https://www.mclaneco.com/legal/employment/" target="_blank">https://www.mclaneco.com/legal/employment/</a>

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