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<p>Senior Software Engineer (Go &amp; Kubernetes Expertise)Location: Remote</p><p>COMPANY DESCRIPTION</p><p>Rancher Government Solutions (RGS) is specifically designed to address the unique security and operational needs of the U.S. Government and military as it relates to application modernization, containers, and Kubernetes.</p><p>Rancher is a complete open-source software stack for teams adopting containers. It addresses the operations and security challenges of managing multiple Kubernetes clusters at scale, while providing DevOps teams with integrated tools for running containerized workloads.</p><p>RGS supports all Rancher products with U.S. based American citizen with the highest security clearances who are currently supporting programs across the Department of Defense, Intelligence Community, and civilian agencies.</p><p>POSITION SUMMARY</p><p>We are seeking a motivated Senior Software Engineer with expertise in Kubernetes and Go to join our Federal Product Engineering Team. This team is dedicated to developing and deploying industry-leading cloud-native technologies tailored to the unique operational, security, and compliance requirements of the United States federal government. As part of this team, you will help design scalable, secure systems that enable federal agencies to modernize their infrastructure, adopt zero-trust architectures, and accelerate mission delivery through automation and innovation. You will work at the intersection of software engineering and operations, contributing to solutions that are built for resilience and performance in highly regulated environments.</p><p>KEY RESPONSIBILITIES</p><ul><li>Develop robust Golang applications and microservices, applying modern Kubernetes design patterns such as controllers, operators, and custom resource definitions.</li><li>Understand CI/CD flows and pipelines to automate application testing, packaging, and deployment to Kubernetes clusters in secure environments.</li><li>Work as part of an agile, iterative team, participating in daily standups, sprint planning, and retrospectives.</li><li>Build and maintain infrastructure-as-code and GitOps solutions using tools such as Helm and Kustomize to manage Kubernetes infrastructure.</li><li>Collaborate with product managers, security teams, and other engineers to deliver software that meets federal compliance standards (e.g., FedRAMP, NIST 800-53).</li><li>Troubleshoot complex issues across the stack, including application performance, networking, and container orchestration.</li><li>Lead by example: Provide technical guidance and mentorship to junior engineers.</li><li>Other duties as assigned.</li></ul><p>REQUIRED QUALIFICATIONS</p><ul><li>6+ years of professional software engineering experience, with at least 4 years working with Go.</li><li>Highly proficient in Golang, with a demonstrated ability to write clean, maintainable, and idiomatic code.</li><li>Deep understanding of Kubernetes deployment and development patterns, including manifests, controllers, Helm charts, and RBAC.</li><li>Deep familiarity with containerization technologies, processes, and patterns.</li><li>Experience working in Linux-based environments.</li><li>Strong grasp of Git-based workflows and version control best practices.</li><li>US Citizenship</li></ul><p>PREFERRED QUALIFICATIONS</p><ul><li>Experience implementing secure software development practices in regulated environments.</li><li>Familiarity with cloud platforms (e.g., AWS GovCloud, Azure Government, or other federal clouds).</li><li>Knowledge of networking concepts, including ingress controllers, service meshes (e.g., Istio), and load balancing.</li><li>Experience developing user interfaces with Vue.js, NuxtJS, or other Javascript frameworks.</li></ul><br>

Rancher Government Solutions

Sr. Software Engineer

<p><strong>COMPANY DESCRIPTION</strong></p><p>Rancher Government Solutions (RGS) is specifically designed to address the unique security and operational needs of the U.S. Government and military as it relates to application modernization, containers, and Kubernetes.</p><p>Rancher is a complete open-source software stack for teams adopting containers. It addresses the operations and security challenges of managing multiple Kubernetes clusters at scale, while providing DevOps teams with integrated tools for running containerized workloads.</p><p>RGS supports all Rancher products with U.S. based American citizen with the highest security clearances who are currently supporting programs across the Department of Defense, Intelligence Community, and civilian agencies.</p><p></p><p><strong>POSITION SUMMARY</strong></p><p>As a&nbsp;Senior Support Engineer at RGS, you will be a player-coach, blending deep technical expertise with leadership skills to guide a team of talented Support Engineers while also directly assisting US Government customers with complex challenges related to the SUSE Rancher portfolio and the broader cloud-native ecosystem. This critical role involves acting as a technical escalation point, fostering strong customer relationships, and ensuring the highest level of support delivery within secure government environments. This position reports within the RGS Professional Services organization.</p><p></p><p></p><p><strong>DUTIES AND RESPONSIBILITIES</strong></p><ul><li>Provide expert-level technical guidance on best practices and troubleshooting to customers on the SUSE Rancher portfolio and underlying technologies (Kubernetes, Docker, Linux OS, Networking, Storage, Virtualization).</li><li>Maintain an expert-level understanding of the SUSE Rancher products and the evolving cloud-native landscape&nbsp;</li><li>Build and maintain strong relationships with government customers, ensuring their satisfaction and success with RGS.</li><li>Effectively communicate complex technical concepts to diverse audiences&nbsp;</li><li>Understand, document, and champion customer needs (bug reports, feature requests) internally with Product Management and Engineering teams.</li><li>Operate with a strong understanding of federal security requirements (e.g., DoD STIGs, NIST guidelines) relevant to customer environments.</li><li>Other duties as assigned.</li></ul><p><strong>QUALIFICATIONS</strong></p><ul><li>Must be a U.S. Citizen. (Eligibility for security clearance may be required).</li><li>5+ years of&nbsp;progressive&nbsp;experience in technical support, Site Reliability Engineering (SRE), DevOps, platform engineering, or a similar role.</li><li>Deep understanding and practical experience with containers and container orchestration with Kubernetes.</li><li>Strong Linux administration skills&nbsp;</li><li>Excellent troubleshooting skills spanning OS, networking, storage, and application layers.</li><li>Demonstrable experience with at least one major cloud provider (AWS, Azure, GCP)&nbsp;<em>or</em> on-premise virtualization platform (e.g., vSphere, Harvester).</li><li>Familiarity with DevOps concepts, CI/CD pipelines, and automation tools.</li><li>Proven aptitude for learning new technologies quickly and continuously.</li><li>Ability to manage priorities, work independently, welcome feedback, and contribute positively to team goals.</li></ul><p><strong>Preferred Qualifications:</strong></p><ul><li>Direct experience supporting or managing SUSE Rancher products (Rancher Manager, RKE2, K3s, Longhorn, NeuVector, Harvester).</li><li>Experience with Infrastructure as Code (IaC) tools like Terraform, Ansible, or SaltStack.</li><li>Experience working within government cloud environments and adhering to strict security compliance standards.</li><li>Scripting or programming experience (Python, Go, Bash).</li><li>Experience contributing to or actively participating in open-source communities.</li><li>Relevant certifications (e.g., CKA, CKAD, Cloud Provider certifications).</li></ul><br>

Sr. Support Engineer

<br><h4>Overview</h4><p>At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.&nbsp;</p><p>The AI Engineer Intern will work with Forge, LMI’s internal technology accelerator and innovation hub, to develop technology solutions for LMI and its federal government clients. This position will apply machine learning and data science approaches to initiate, develop, and deliver AI within web-based applications. The AI Engineer Intern will work within a team of data scientists, computer scientists, application developers, product managers, and designers to integrate AI/ML into applications to automate and improve business processes, data quality, and user experience. The ideal candidate will have a passion for solving challenging problems by applying a diverse set of technical capabilities to program, develop models, and deploy services consumed by user applications.</p><p><strong>*This position is currently full-time telework with the ability to periodically work out of our Tysons, VA HQ*</strong></p><p>LMI has been named a 2025 Campus Foward Award Winner! This Award recognizes excellence in early career hiring, celebrating the teams that embrace innovative recruiting strategies, care deeply about the candidate experience, are making significant investments in DEIA, and are supporting the next generation of talent through impactful internships and entry-level programs.</p><h4>Responsibilities</h4><ul><li><strong>Collaborate with Development Teams</strong><ul><li>Work closely with software engineers, designers, and product managers to develop and refine web or mobile applications.</li></ul></li><li><strong>Assist in Designing, Coding, and Testing Software Solutions</strong><ul><li>Participate in writing clean, efficient, and maintainable code for assigned projects using languages such as <strong>Java, JavaScript, Python, or R</strong>.</li></ul></li><li><strong>Research and Evaluate New Technologies</strong><ul><li>Explore innovative tools, frameworks, and approaches to enhance software development practices and propose potential integrations.</li></ul></li><li><strong>Contribute to DevSecOps Practices</strong><ul><li>Assist in implementing <strong>CI/CD pipelines</strong>, containerization using <strong>Docker</strong>, and other DevSecOps tools to ensure secure and efficient software delivery.</li></ul></li><li><strong>Participate in Code Reviews</strong><ul><li>Engage in peer code reviews to provide and receive constructive feedback for improving code quality and consistency.</li></ul></li><li><strong>Present Progress and Findings</strong><ul><li>Prepare and deliver presentations or demos of your work during team meetings or project reviews to highlight progress and insights.</li></ul></li><li><strong>Debug and Troubleshoot Issues</strong><ul><li>Identify, investigate, and resolve software bugs and performance issues in collaboration with the development team.</li></ul></li><li><strong>Document Work and Learnings</strong><ul><li>Maintain clear documentation of project work, processes, and learnings to ensure knowledge transfer and continuity.</li></ul></li></ul><h4>Qualifications</h4><ul><li>Pursuit of a Bachelor's degree (Graduate student highly preferred) in engineering, mathematics, computer science, or related technical discipline required.</li><li><strong>Currently enrolled in a Graduate (Masters) program highly preferred</strong></li><li>Pursuing a post-graduate or undergrad degree in engineering, mathematics, computer science, modeling and simulation, operations research, or related technical discipline</li><li>Must be able to work for a minimum of 10-12 weeks beginning in Summer 2025 (May/June)</li><li><strong>Experience with Software Development</strong><ul><li>Familiarity with developing web applications or mobile applications. Coursework or personal projects demonstrating these skills are highly valued.</li></ul></li><li><strong>Proficiency in Programming Languages</strong><ul><li>Proficient in one or more programming languages, such as <strong>Java, JavaScript, Python, or R</strong>. Hands-on experience through coursework, internships, or personal projects preferred.</li></ul></li><li><strong>Knowledge of Software Development Tools and Practices</strong><em>(Preferred)</em><ul><li>Exposure to tools like <strong>Docker</strong>, <strong>Kubernetes</strong>, or <strong>DevSecOps pipelines</strong> is a plus.</li></ul></li><li><strong>Familiarity with Version Control Systems</strong><ul><li>Experience using <strong>Git</strong> or similar version control systems for collaborative software development.</li></ul></li><li><strong>Understanding of Agile Development</strong><em>(Preferred)</em><ul><li>Familiarity with Agile methodologies and tools like <strong>JIRA</strong> or <strong>Trello</strong> for managing tasks and sprints.</li></ul></li><li><strong>Strong Problem-Solving Skills</strong><ul><li>Ability to think critically and approach software development challenges with creative solutions.</li></ul></li><li><strong>Bonus Skills</strong><em>(Preferred)</em><ul><li>Knowledge of cloud platforms (e.g., AWS, Azure, or Google Cloud), database management systems, or UI/UX design principles is advantageous but not required.</li></ul></li></ul><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

LMI Consulting, LLC

Software Engineering Intern (Summer 2025)

<br><h4>Overview</h4><p>At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.&nbsp;</p><p>The AI Engineer Intern will work with Forge, LMI’s internal technology accelerator and innovation hub, to develop technology solutions for LMI and its federal government clients. This position will apply machine learning and data science approaches to initiate, develop, and deliver AI within web-based applications. The AI Engineer Intern will work within a team of data scientists, computer scientists, application developers, product managers, and designers to integrate AI/ML into applications to automate and improve business processes, data quality, and user experience. The ideal candidate will have a passion for solving challenging problems by applying a diverse set of technical capabilities to program, develop models, and deploy services consumed by user applications.</p><p><strong>*This position is currently full-time telework with the ability to periodically work out of our Tysons, VA HQ*</strong></p><p>LMI has been named a 2025 Campus Foward Award Winner! This Award recognizes excellence in early career hiring, celebrating the teams that embrace innovative recruiting strategies, care deeply about the candidate experience, are making significant investments in DEIA, and are supporting the next generation of talent through impactful internships and entry-level programs.</p><h4>Responsibilities</h4><ul><li>Identify opportunities where AI/ML or modeling and simulation can generate business insights or improve business processes</li><li>Develop and implement digital and analytic approaches</li><li>Work with product designers, application developers, infrastructure engineers, and other data scientists to integrate predictive and prescriptive models with web-based applications</li><li>Research algorithms in machine learning to identify viable approaches to meet business requirements</li><li>Apply machine learning methods, such as natural language processing (NLP), computer vision, regression, clustering, classification, and deep learning</li><li>Design solution prototypes that connect to data sources and deploy through services, such as service functions in web applications or application programming interfaces (APIs)</li><li>Become familiar with DevSecOps principles to continuously deliver high-quality software</li><li>Work with Docker to develop and deploy containerized versions of models</li><li>Participate in design and code reviews, and collaborate with a strong, passionate engineering team</li><li>Provide input to UX/UI designers and front-end application developers on how to effectively deliver model outcomes to users</li><li>Interface with customer stakeholders to provide technical explanations and support</li></ul><h4>Qualifications</h4><ul><li>Pursuit of a Bachelor's degree (Graduate student highly preferred) in engineering, mathematics, computer science, or related technical discipline required.</li><li><strong>Currently enrolled in a Graduate (Masters) program highly preferred</strong></li><li>Pursuing a post-graduate or undergrad degree in engineering, mathematics, computer science, modeling and simulation, operations research, or related technical discipline</li><li>Must be able to work for a minimum of 10-12 weeks beginning in Summer 2025 (May/June)</li><li>Comfortable working with agile teams, developing prototypes and functionality in short development sprints</li><li>Ability to work independently and collaborate effectively with a project team in an agile research and development environment</li><li>Comfortable using Atlassian products, including JIRA, Bamboo, Confluence, FishEye, Crucible, and Bitbucket</li><li>Ability to think critically to propose tractable solutions to complex problems</li><li>Effective written and verbal communication skills</li><li>Ability to communicate complex concepts to both technical and business-focused audiences</li><li>Familiarity or desire to excel with modern programming languages appropriate for machine learning prototyping; Python is preferred, but experience with other languages such as Java, C++, C#, JavaScript and R demonstrate the necessary ability</li><li>Familiarity with the underlying mathematics of machine learning</li><li>Knowledge of data structures and data management principles, methods, and tools</li><li>Desire to explore machine learning frameworks and libraries, such as scikit-learn, TensorFlow, and Spark ML</li><li>Ability to work with integrated development environments, such as Jupyter, JupyterLab, JetBrains IntelliJ IDEA, JetBrains PyCharm, JetBrains CLion, and Visual Studio Code</li><li>Ability to collaborate with a team that develops applications using web development frameworks, such as Angular (1.x/2+), React, and Ember, and server frameworks, such as Node.js and Express.js</li><li>Ability to consume or interface with cloud computing and storage services, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud</li><li>Familiarity or desire to become familiar with containerization technologies, such as Docker, Kubernetes, Amazon Elastic Container Service (ECS), and Amazon Elastic Kubernetes Service (EKS)</li></ul><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

AI Engineer Intern (Summer 2025)

<br><h4>Overview</h4><p>LMI is seeking an experienced Data Engineer to design, develop, test, and optimize data pipelines and database architectures, with additional responsibilities for creating data visualizations in React. This role will support the development of innovative software solutions that drive AI/ML capabilities for the Department of Defense.</p><h4>Responsibilities</h4><ul><li>Set up segmented databases to control access to various datasets and data products</li><li>Build data pipelines in PySpark using data engineering best practices for testing, validation, automation, and version control</li><li>Coordinate closely with SMEs and front-end developers to generate data tables required for UI execution</li><li>Build code to execute pulls from APIs, allowing access to external data to be pulled into the client environment</li><li>Interact with partners and data providers to understand their data holdings, methods for moving data into the CDAO-Advana platform, and data usage agreements</li><li>Self-starter, and eager to learn and work in a team environment</li><li>Develop intuitive visualizations, dashboards, and reusable User Interface (UI) components using React and the Material UI component library</li><li>Rapidly create working wireframes based on project specifications for client validation in collaboration with human-centered design</li><li>Build CI/CD pipelines using client specifications for security and containerized deployments in client environments</li><li>Manage UI component buildout in conjunction with project management stakeholders using an agile-based project management approach</li><li>Work with data engineers to outline specifications for APIs</li></ul><h4>Qualifications</h4><ul><li>Bachelor’s degree in Computer Science or related field and/or equivalent work experience</li><li>3-10 years of experience as a data engineer</li><li>Experience with:</li><ul><li>Agile-based development</li><li>Python, Spark, notebooks</li><li>Data Bricks or similar environment</li></ul><li>Effective analytical, conceptual, and problem-solving skills</li><li>Active DoD Secret clearance</li><li>Part-time onsite client support in the Washington, DC metro area</li></ul><p>Desired Qualifications</p><ul><li>Active DoD Top Secret clearance</li></ul><p>The salary range for this position is- $80,000 - $120,000</p><p>The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.&nbsp;&nbsp;</p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Data Engineer - Clearance Required

<br><h4>Overview</h4><p>LMI is seeking a skilled Data Engineer to design, develop, test, and enhance data pipelines and database architectures. This role will also involve implementing a robust test and evaluation (T&amp;E) strategy to support a comprehensive supply chain risk management program for the Department of Defense.</p><h4>Responsibilities</h4><ul><li>Set up segmented databases to control access to various datasets and data products</li><li>Build data pipelines in PySpark using data engineering best practices for testing, validation, automation, and version control</li><li>Coordinate closely with SMEs and front-end developers to generate data tables required for UI execution</li><li>Build code to execute pulls from APIs, allowing access to external data to be pulled into the client environment</li><li>Interact with partners and data providers to understand their data holdings, methods for moving data into the CDAO-Advana platform, and data usage agreements</li><li>Self-starter, and eager to learn and work in a team environment</li><li>Implement a test and evaluation framework for both front end and back end components of an enterprise solution including data products, modeling products and UI</li><li>Implement a test harness to systematically assess and validate the functionality and performance of solution components</li><li>Collaborate with stakeholders to refine testing protocols, ensuring they align with operational requirements and customer priorities for supply chain risk management</li><li>Identify practical test and training data sets for each evaluation </li><li>Document test findings and provide actionable insights to improve the system's reliability and effectiveness in real-time operational settings</li><li>Spearhead the integration of T&amp;E methodologies into the ongoing development lifecycle to continuously adapt and enhance enterprise solution capabilities</li><li>Collaborate closely with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystem</li><li>Operate proficiently within a Databricks environment, managing code development, testing, and deployment through notebooks</li></ul><h4>Qualifications</h4><ul><li>Bachelor’s degree in Computer Science or related field and/or equivalent work experience</li><li>3-10 years of experience as a data engineer</li><li>Experience with:</li><ul><li>Agile-based development</li><li>Python, Spark, notebooks</li><li>Data Bricks or similar environment</li></ul><li>Effective analytical, conceptual, and problem-solving skills</li><li>Active DoD Secret clearance</li><li>Fully remote capability acceptable</li></ul><p>Desired Qualifications</p><ul><li>Active DoD Top Secret clearance</li><li>Part-time onsite client support in the Washington, DC metro area</li></ul><p>The salary range for this position is- $80,000 - $120,000</p><p>The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.&nbsp;&nbsp;</p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

<br><h4>Overview</h4><p>LMI is seeking a data engineer to develop, test, maintain, and augment data pipelines and database setups in support of a supply chain risk program for the Department of Defense.</p><h4>Responsibilities</h4><ul><li>Set up segmented databases to control access to various datasets and data products</li><li>Build data pipelines in PySpark using data engineering best practices for testing, validation, automation, and version control</li><li>Coordinate closely with SMEs and front-end developers to generate data tables required for UI execution</li><li>Build code to execute pulls from APIs, allowing access to external data to be pulled into the client environment</li><li>Interact with partners and data providers to understand their data holdings, methods for moving data into the CDAO-Advana platform, and data usage agreements</li><li>Self-starter, and eager to learn and work in a team environment</li></ul><h4>Qualifications</h4><ul><li>Bachelor’s degree in Computer Science or related field and/or equivalent work experience</li><li>3-10 years of experience as a data engineer</li><li>Experience with:</li><ul><li>Agile-based development</li><li>Python, Spark, notebooks</li><li>Data Bricks or similar environment</li></ul><li>Effective analytical, conceptual, and problem-solving skills</li><li>Active DoD Secret clearance</li><li>Fully remote capability acceptable</li></ul><p>Desired Qualifications</p><ul><li>Active DoD Top Secret clearance</li><li>Part-time onsite client support in the Washington, DC metro area</li></ul><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

<br><h4>Overview</h4><p>LMI is seeking a data engineer to develop, test, maintain, and augment data pipelines and database setups in support of a supply chain risk program for the Department of Defense.</p><h4>Responsibilities</h4><ul><li>Set up segmented databases to control access to various datasets and data products</li><li>Build data pipelines in PySpark using data engineering best practices for testing, validation, automation, and version control</li><li>Coordinate closely with SMEs and front-end developers to generate data tables required for UI execution</li><li>Build code to execute pulls from APIs, allowing access to external data to be pulled into the client environment</li><li>Interact with partners and data providers to understand their data holdings, methods for moving data into the CDAO-Advana platform, and data usage agreements</li><li>Self-starter, and eager to learn and work in a team environment</li></ul><h4>Qualifications</h4><ul><li>Bachelor’s degree in Computer Science or related field and/or equivalent work experience</li><li>3-10 years of experience as a data engineer</li><li>Experience with:</li><ul><li>Agile-based development</li><li>Python, Spark, notebooks</li><li>Data Bricks or similar environment</li></ul><li>Effective analytical, conceptual, and problem-solving skills</li><li>Active DoD Secret clearance</li><li>Full remote acceptable</li></ul><p>Desired Qualifications</p><ul><li>Active DoD Top Secret clearance</li><li>Part-time onsite client support in the Washington, DC metro area</li></ul><p>The salary range for this position is- $100,000 - $150,000</p><p>The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.&nbsp;&nbsp;</p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

<br><h4>Overview</h4><p>Join our &nbsp;cutting-edge generative AI (GenAI) platform,&nbsp;LIGER™, created by its technology studio, LMI&nbsp;Forge. LIGER™ harnesses the power of advanced technology, data analytics, and the latest in machine learning and natural language processing to provide secure, private, and trustworthy GenAI solutions for government.</p><p>At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.&nbsp;</p><h4>Responsibilities</h4><ul><li><strong>Architect and Refine Backend Systems:</strong> Take the lead in developing and updating the backend code for diverse Python-based applications, ensuring high performance and scalability.&nbsp;</li><li><strong>Craft and Deploy Python Code:</strong> Write, design, and implement robust, clean Python code that drives our applications forward.&nbsp;</li><li><strong>Ensure Code Quality:</strong> Develop and conduct unit tests for product components, maintaining a commitment to quality and reliability.&nbsp;</li><li><strong>Collaborative Development:</strong> Work closely with our software development team using GitLab to enhance collaboration and streamline workflows.&nbsp;</li><li><strong>Strategic Stakeholder Engagement:</strong> Regularly meet with internal managers and external customers to discuss software challenges and collaboratively devise innovative solutions.&nbsp;</li><li><strong>Code Excellence:</strong> Write original code and refine existing codebases, ensuring all developments meet rigorous program requirements.&nbsp;</li><li><strong>Detail-Oriented Practices:</strong> Apply a methodical approach to documenting and testing your code, ensuring flawless functionality.&nbsp;</li><li><strong>Adaptive Work Style:</strong> Thrive in a flexible work environment, whether you’re driving initiatives independently or as an integral part of our team.&nbsp;</li></ul><h4>Qualifications</h4><p><strong>Minimum:</strong>&nbsp;</p><ul><li>5-10 years of directly related experience&nbsp;</li><li>Bachelor's degree in Computer Science or related field and/or equivalent work experience&nbsp;</li><li>Minimum 2-years’ experience with Python development with web frameworks&nbsp;</li><li>Minimum 2-years’ experience working with Object Oriented Programming (OOP) and Service Oriented Architecture&nbsp;</li><li>Experience planning, analyzing, designing, implementing, testing, and maintaining software applications for an enterprise level system.&nbsp;&nbsp;</li><li>Experience using industry guidelines and best practices for developing software including Git, Agile methodologies, CI/CD, and automated deployments.&nbsp;</li><li>Excellent verbal and written communication skills&nbsp;</li><li><strong>Clearance:</strong> Active Secret&nbsp;</li></ul><p><strong>Preferred:</strong>&nbsp;</p><ul><li>Master’s degree in Computer Science, Software Engineering, Information Systems, or related field&nbsp;</li><li>Knowledge of Node.js and javascript programming language&nbsp;&nbsp;</li><li>Knowledge of Postgres&nbsp;</li><li>Experience developing applications for classified data&nbsp;</li><li>Experience integrating machine learning and analytical tools&nbsp;</li><li>Knowledge of the Army software development process and its technologies</li></ul><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Full-Stack Engineer - Clearance Required

<br><h4>Overview</h4><p>Join our &nbsp;cutting-edge generative AI (GenAI) platform,&nbsp;LIGER™, created by its technology studio, LMI&nbsp;Forge. LIGER™ harnesses the power of advanced technology, data analytics, and the latest in machine learning and natural language processing to provide secure, private, and trustworthy GenAI solutions for government.</p><p>At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.&nbsp;</p><h4>Responsibilities</h4><ul><li>Engage in and improve the whole lifecycle of services—from inception and design, deployment, operation, and refinement using an agile methodology&nbsp;</li><li>Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews&nbsp;</li><li>Embrace the DevSecOps culture with a commitment to automate what can be automated&nbsp;</li><li>Maintain services once they are live by measuring and monitoring availability, latency, and overall system health&nbsp;</li><li>Scale systems sustainably through mechanisms like automation; evolve systems by pushing for changes that improve reliability and velocity&nbsp;</li><li>Practice sustainable incident response and actively participate in retrospectives&nbsp;</li></ul><h4>Qualifications</h4><p><strong>Required:</strong></p><ul><li>Minimum of a polygraph level security clearance required&nbsp;</li><li>Minimum Bachelor’s degree in Computer Science or related technical field&nbsp;</li><li>5+ years’ experience as a DevSecOps Engineer  &nbsp;</li><li>Minimum of 5+ years of experience programming in Python. Ability to debug, optimize code, and automate routine tasks&nbsp;</li><li>Systematic problem-solving approach, coupled with effective communication skills and a sense of drive&nbsp;</li><li>Understanding of Unix/Linux operating systems  &nbsp;</li><li>Demonstrated experience building continuous, automated build and deploy pipelines&nbsp;</li><li>Demonstrated experience in conditional procedure of build and deploy pipeline based on security scans of source and artifact&nbsp;</li><li>Capable of working with software development team and platform infrastructure team to provide meaningful guidance to both for code development and deployment&nbsp;</li><li>In-depth knowledge of version control of release artifacts to facilitate upgrade rollout and rollback&nbsp;</li><li>Strong understanding of containerization of web applications  &nbsp;</li><li>Understanding and familiarity with container orchestration engines such as K8s (EKS, AKS, GKE, Kops, OpenShift)  &nbsp;</li><li>Experience with GitLab CI/CD  &nbsp;</li><li>Experience with bash shell scripting &nbsp;</li></ul><p><strong>Desired:</strong></p><ul><li>Agile, Lean, DevOps, Cloud, Security+ or other professional certification  &nbsp;</li><li>Familiarity with Intelligence Community IT standards and federal security standards strongly desired  &nbsp;</li><li>Knowledge of the Army software development process and its technologies&nbsp;</li><li>Hands-on experience using agile software development methodologies&nbsp;</li><li>Strong communication skills and the ability to work well on a cross-functional agile team&nbsp;</li><li>Experience working in a consultant/client environment&nbsp;</li></ul><p>#LIGER</p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

16 Engineering Jobs in Fairfax County