engineering
1 hour ago*
Lead, Software Engineer
📍 Palm Bay Us, United States·🏢 On-site
Responsibilities
- Produce detailed architectural designs, interface definitions, deployment models, and technical decision documentation for distributed systems.
- Define and enforce architecture standards, engineering best practices, and DevOps patterns across the development and deployment lifecycle.
- Drive technical decisions related to containerization, orchestration, service communication, CI/CD, infrastructure automation, security, and system observability.
- Guide the design and implementation of build, release, deployment, and monitoring strategies for microservice-based platforms.
- Evaluate system performance, reliability, scalability, and security considerations and recommend architectural improvements.
- Develop roadmaps and implementation strategies for platform evolution, environment standardization, and long-term sustainment.
Requirements
- Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.
- experience in Docker-based systems, microservices architecture, and DevOps engineering practices.
- This role requires an active TS/SCI with Polygraph.
- Essential Functions: Lead architecture and design efforts for Docker-based, microservice-oriented systems supporting mission-critical applications.
- Qualifications: Bachelor’s Degree and minimum 9 years of prior relevant experience.
- Graduate Degree and a minimum of 7 years of prior related experience.
- In lieu of a degree, minimum of 13 years of prior related experience.
- Active TS/SCI with Polygraph is required.
- experience in DevOps engineering, platform architecture, or software architecture for distributed systems. Demonstrated
- experience designing and implementing Docker-based solutions and microservice architecture.
- Strong understanding of CI/CD pipelines, configuration management, infrastructure as code, and automated deployment practices.
- Experience with container orchestration platforms such as Kubernetes, OpenShift, or similar technologies.
- Knowledge of system integration, API design, service-to-service communication patterns, and secure platform engineering practices.