<p>Software Engineer – Microservices / DevSecOps</p><p>Location: Gaithersburg, MD 20878</p><p>Work Arrangement: Hybrid</p><p>Clearance: Ability to obtain and maintain a Public Trust</p><p><br></p><p><br></p><p>Position Overview</p><p>We are seeking a Software Engineer to design and implement scalable microservices-based applications supporting mission-critical programs. This role focuses on delivering high-quality software solutions within an Agile/SAFe environment, collaborating closely with systems engineering, product delivery, and DevSecOps teams.</p><p>The ideal candidate is a hands-on engineer with strong experience in microservices architecture, modern programming languages, and cloud-native development, along with a passion for building reliable, secure, and efficient systems. Exposure to AI-enabled or data-driven systems is a plus.</p><p>WKey Responsibilities</p><p>Application Development & Architecture</p><ul><li>Design, develop, and maintain microservices-based applications using modern engineering practices</li><li>Translate business requirements into scalable technical solutions</li><li>Build clean, maintainable, and testable code aligned to best practices</li></ul><p>Agile Delivery & Collaboration</p><ul><li>Participate in Agile / SAFe ceremonies (sprint planning, standups, retrospectives)</li><li>Collaborate with product owners, architects, and engineering teams</li><li>Contribute to system design discussions and technical decision-making</li></ul><p>DevSecOps & Integration</p><ul><li>Integrate services with databases, APIs, and messaging systems</li><li>Work within CI/CD pipelines and DevSecOps frameworks</li><li>Support deployment, monitoring, and continuous improvement of applications</li></ul><p>Operations & Optimization</p><ul><li>Troubleshoot, debug, and optimize application performance</li><li>Partner with QA, DevOps, and platform teams to ensure reliable delivery</li><li>Enhance system scalability, reliability, and maintainability</li></ul>
<p>Data Engineer – Databricks / Azure / AI Analytics</p><p><br></p><p>You must be able to obtain and maintain a public trust clearance,</p><p><br></p><p>Position Overview</p><p>We are seeking a highly capable Data Engineer to design and support scalable data pipelines and analytics environments within a cloud-based Azure data platform. This role focuses on building modern data solutions using Databricks, Spark, and distributed data architectures, supporting enterprise-level analytics and AI initiatives.</p><p>The ideal candidate brings hands-on expertise in Databricks engineering, cloud data pipelines, and data integration, along with strong collaboration skills to translate business requirements into technical solutions. This position offers the opportunity to work on large-scale data platforms and support advanced analytics and AI-driven workloads.</p><p><br></p><p>Key Responsibilities</p><p>Data Engineering & Pipeline Development</p><ul><li>Design, build, and optimize data pipelines using Databricks and Spark</li><li>Implement Medallion architecture and scalable data processing workflows</li><li>Develop ingestion pipelines for structured, streaming, and unstructured datasets</li></ul><p>Cloud & Platform Integration</p><ul><li>Work with Azure services (Data Factory, Storage, Functions, Log Analytics)</li><li>Integrate data across multiple sources to enable high-quality analytics</li><li>Support hybrid cloud initiatives and evolving data platforms</li></ul><p>Data Management & Optimization</p><ul><li>Ensure data quality, integrity, and accessibility across systems</li><li>Monitor pipeline performance and optimize cost, scalability, and efficiency</li><li>Support data governance, cataloging, and compliance standards</li></ul><p>Platform Operations & Support</p><ul><li>Troubleshoot performance issues, cluster stability, and configuration management</li><li>Support end-user requests and provide front-line platform support</li><li>Implement monitoring, logging, and alerting solutions</li></ul><p>DevOps & Automation</p><ul><li>Develop and maintain CI/CD pipelines and infrastructure-as-code (IaC)</li><li>Automate deployment and data workflows for improved efficiency</li><li>Support continuous delivery within Agile environments</li></ul>
We are looking for an experienced Principal Software Engineer to design, develop, and optimize large-scale systems while ensuring high availability and performance. This role requires expertise in cloud-based platforms and distributed architectures, along with a commitment to secure coding practices and innovative problem-solving. Based in Bowie, Maryland, this position offers an exciting opportunity to contribute to cutting-edge software solutions.<br><br>Responsibilities:<br>• Develop and maintain large-scale, always-on data systems using Kotlin/Java, C#, and JavaScript.<br>• Design and implement distributed systems and high-availability architectures on cloud-based platforms.<br>• Utilize Infrastructure as Code to manage both managed and unmanaged services effectively.<br>• Optimize performance, conduct profiling, and execute tuning for complex systems to ensure efficiency.<br>• Build and maintain large data warehouse systems such as Snowflake or BigQuery.<br>• Implement DevOps practices, including the development and management of CI/CD pipelines.<br>• Ensure adherence to security best practices and secure coding standards across projects.<br>• Engineer software solutions capable of processing and managing extensive volumes of data.<br>• Collaborate with cross-functional teams to understand and adapt to new problem spaces.<br>• Communicate technical concepts effectively to diverse audiences, both in writing and verbally.