Software Engineer - Team Lead; Cloud​/Dev Ops

Software Engineer 2 - Team Lead (Cloud/Dev Ops)

Annapolis Junction, MD

We at Navius are seeking a Software Engineer 2 who will both lead a small, high-performing development team and contribute as a hands‑on engineer. If taking ideas from concept to working prototype in short, iterative cycles excites you, and you enjoy solving hard problems with modern cloud and Dev Ops practices, this role is for you.

Our compact, mission-focused team is looking for an innovator who wants to have outsized impact and help transform how our organization builds and operates software.

• Lead a small cloud‑focused software development team, providing technical direction, mentoring, and day‑to‑day coordination of work.
• Design, develop, maintain, and enhance complex and diverse software systems based on documented requirements, using modern cloud‑native and microservices architectures.
• Own features end to end, including requirements analysis, design, implementation, automated testing, deployment, and operational support in cloud environments such as AWS/HCI.
• Build distributed applications, APIs, and data‑intensive services using containers and Kubernetes‑based orchestration.
• Apply sound software engineering practices, including code reviews, CI/CD, automated testing, monitoring, and logging, to deliver robust, scalable, and secure systems.
• Contribute to system‑level design, including hardware/software tradeoffs, software reuse strategies, and effective use of COTS/GOTS components versus new development.
• Perform requirements analysis and synthesis from system level down to individual services and modules.
• Build and run simulations and test harnesses in development and test environments to validate behavior, performance, and reliability.
• Troubleshoot complex issues across application, data, and infrastructure layers; profile and optimize performance in distributed systems.
• Collaborate closely with product owners, system engineers, and other stakeholders to refine requirements, prioritize work, and deliver incremental value.
• Foster a culture of continuous improvement, experimentation, and learning within the team, staying current with cloud, Dev Ops, and data engineering best practices.

Work is performed in a contractor facility in Annapolis Junction. Both low‑side and high‑side access are available.

• Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, Math, or Physics is required, or an equivalent combination of education, training, and experience.
• Minimum 14 years of relevant experience in software engineering, modernization, or solution architecture.

• Cloud Platforms: Experience designing, deploying, and operating workloads in AWS and/or hyper‑converged infrastructure.
• Programming: Proficiency in Python for backend services, automation, and tooling. Strong Java skills for scalable, distributed services.
• Containers & Orchestration: Hands‑on experience with containers such as Podman and/or Docker, and Kubernetes for deployment, scaling, and management of microservices.
• Data & Big Data Frameworks: Experience with Hadoop and related ecosystem components in distributed data processing scenarios.
• Microservices: Proven experience designing, building, and operating microservice‑based architectures, including service boundaries, APIs, observability, and resilience patterns.

• Data Processing Paradigms: Machine learning pipelines, streaming data processing, and batch processing workflows.
• Data Stores and Caching: MongoDB, ArangoDB, Redis, and PostgreSQL, including modeling, performance tuning, and operations in cloud environments.

• Experience with AWS Elastic Map Reduce or similar managed big data services for large‑scale processing.
• Familiarity with CI/CD tools and infrastructure as code, such as Terraform, Cloud Formation, or similar.
• Familiarity with monitoring and observability stacks, such as Cloud Watch, Prometheus, or ELK.

• Demonstrated ability to lead small engineering teams, including task breakdown, mentoring, code reviews, and setting technical direction.
• Strong analytical and troubleshooting skills, with a bias toward data‑driven decision making and root cause analysis.
• Excellent verbal and written communication; able to explain complex technical topics to both technical and non‑technical stakeholders.
• Self‑motivated and comfortable working independently when needed, while also thriving in a highly collaborative, agile team environment.