Full stack Software Engineer, Senior

What You'll Do

• Lead architecture, design, and implementation of full-stack capabilities across cloud-native microservices
• Own major system components and guide the technical roadmap for modernization and cloud adoption
• Develop distributed, secure, scalable back-end services using Python, Java/Spring Boot, or similar technologies
• Architect and govern cloud deployments (AWS), including Kubernetes clusters, IaC, security controls, and reliability patterns
• Guide teams in DevSecOps execution, including GitLab CI/CD pipelines, automated testing, secure coding standards, and supply-chain integrity
• Integrate large-scale data, search, or analytic pipelines, such as Kafka, NiFi, Elasticsearch
• Partner with product owners, mission users, and cross-functional engineering teams to define requirements and technical strategy
• Mentor and support mid-level and junior engineers; perform code reviews and drive engineering best practices
• Evaluate emerging technologies such as (LLMs/AI, synthetic data, augmented development tools for mission applicability)

Requirements

• 6+ years of experience with full-stack software engineering
• Experience leading technical delivery or architecture for cloud-native or distributed systems
• Experience with Python, C++, Java, Spring Boot, or enterprise service stacks
• Experience with SQL or NoSQL databases such as PostgreSQL, DynamoDB, MongoDB, or SQLite
• Experience architecting and deploying solutions using AWS (preferably) or Azure cloud frameworks
• Experience with containerization and orchestration such as Docker and Kubernetes
• Experience with complex API ecosystems such as FastAPT, REST, gRPC, or GraphQL
• Experience building secure, high-performance applications in classified or highly restricted environments

Qualifications

• Active TS/SCI clearance; willingness to take a polygraph exam
• Bachelor’s degree in a STEM field

Skills

• Experience working with automated testing tools to perform testing and maintenance
• Experience with AI-augmented development workflows or agentic tools, such as Codex, Claude Code, or OpenCode or other multi-agent approach
• Expertise with distributed search or data platforms such as Elasticsearch, OpenSearch, Solr, Kafka, NiFi
• Experience modernizing legacy applications into modern frameworks
• Experience with IaC tools such as Terraform or CloudFormation
• Experience integrating AI/ML or LLM-based development workflows
• Experience supporting GEOINT or Intelligence Community analytic missions

Benefits

• Health, life, disability, financial, and retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards program
• Compensation range: $86,800.00 to $198,000.00 (annualized USD)

Pay & Schedule

• Salary range: $86,800.00 to $198,000.00 (annualized USD)
• Work model: Remote, Hybrid, Onsite