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

Navius Technologies•Annapolis Junction, MD

13d•Onsite

About The Position

The BH/AV PRIME contract is 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.

Requirements

Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Math, or Physics is required or equivalent combination of education, training, and experience
Minimum 14 years of relevant experience in software engineering, modernization, or solution architecture
Experience designing, deploying, and operating workloads in AWS and/or hyper converged infrastructure (HCI).
Proficiency in Python for backend services, automation, and tooling.
Strong Java skills for scalable, distributed services
Experience building RESTful services and modern web front ends using JavaScript frameworks such as React.
Hands on experience with containers (Podman and/or Docker) and Kubernetes for deployment, scaling, and management of microservices.
Experience with Hadoop and related ecosystem components in distributed data processing scenarios.
Proven experience designing, building, and operating microservice based architectures (service boundaries, APIs, observability, resilience patterns).
Experience with Two or More of the Following Data processing paradigms: Machine learning pipelines, streaming data processing, and batch processing workflows.
Experience with Data stores and caching: MongoDB, ArangoDB, Redis, PostgreSQL (modeling, performance tuning, and operations in cloud environments).

Nice To Haves

Experience with AWS Elastic MapReduce (EMR) or similar managed big data services for large scale processing.
Familiarity with CI/CD tools and infrastructure as code (e.g., Terraform, CloudFormation, or similar), and monitoring/observability stacks (e.g., CloudWatch, Prometheus, ELK).
Demonstrated ability to lead small engineering teams: 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.

Responsibilities

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: requirements analysis, design, implementation, automated testing, deployment, and operational support in cloud environments (AWS/HCI)
Build distributed applications, APIs, and data intensive services using containers and Kubernetes based orchestration
Apply sound software engineering practices (code reviews, CI/CD, automated testing, monitoring, 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.