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

Position Overview

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 DevOps 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.

Job Details

• Job Status: Open
• Job Title: Software Engineer 2
• Functional Area: Software
• Work Location: Contractor Facility
• Clearance Required to Start: TS/SCI with MPO FS Poly
• Quantity Required: 1

As a Software Engineer 2 / Team Lead, You Will

• 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, DevOps, and data engineering best practices.

Additional Information

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

Education / Years of Experience Requirements

• 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.

Required Technical Skills

• 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.
• Web and API Development: Experience building RESTful services and modern web front ends using JavaScript frameworks such as React.
• 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.

Experience with Two or More of the Following

• 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.

Desired / Nice-to-Have Skills

• Experience with AWS Elastic MapReduce or similar managed big data services for large-scale processing.
• Familiarity with CI/CD tools and infrastructure as code, such as Terraform, CloudFormation, or similar.
• Familiarity with monitoring and observability stacks, such as CloudWatch, Prometheus, or ELK.

Soft Skills & Working Style

• 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.