Principal Software Engineer

Two Six Technologies is building innovative products to solve complex challenges. The Principal Software Engineer will contribute to the Sigma product engineering team by leveraging AI-powered features and tools to enhance the software development lifecycle and product capabilities.

Responsibilities:

• Actively participate in all phases of the software development lifecycle, regularly contributing code and reviewing code contributed by agents and the rest of the team
• Design, build, test, implement, and maintain features, capabilities, and fixes, end-to-end (frontend, backend, and DevOps) within our agent-paired workflow
• Develop full software stack features, applying UX principles to the UI, along with backend development, DB design, and AI integration
• Stay current with the latest AI-powered software engineering technologies, evaluating them for the product and leveraging them wherever appropriate
• Review and elevate AI agent output, critically evaluate code, specs, and analysis; catch what automation misses; enforce quality gates
• Be a key contributor to the Java to Go migration, including shadow-mode validation, and contract testing between legacy and new services
• Collaborate with Product Management and Customer Success to identify and address customer requirements, issues, and requests
• Advise on the feasibility of technical requirements, schedule considerations, and potential risk for proposed new development work
• Participate in building out, updating, and refining the product vision, plan, and roadmap
• Leverage industry standards and best practices to regularly assess and address technical debt, particularly in consideration of cost-savings efforts and strategies
• Collaborate with the DevOps team to implement, refine, and maintain infrastructure stability and availability, as well as continuous integration and deployment pipelines
• Feed the structured knowledge base: distill decisions, designs, and trade-offs into agent-readable markdown so agents and teammates can reason about them
• Follow TDD practices, writing tests before code as a default, not an afterthought
• Mentor and learn from an experienced product development team

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field, plus multiple years of professional software engineering experience. In lieu of degree, comparable experience will be considered
• Extensive experience writing production-level Go using AI-enabled tools and workflows
• Practical experience using AI coding tools (e.g., Claude Code, Copilot, Cursor, or equivalent) to design, build, and test a mission-critical application that has run in production with an active user base
• Experience with large-scale (terabytes) database development, data modeling, mapping and testing. Must have Postgres and non-relational databases experience
• Experience developing containerized applications using Docker and Kubernetes
• Experience working with event-driven architecture
• Practical experience designing, deploying, and tuning production systems running in AWS or a similar cloud computing environment
• Experience with extracting, transforming, and loading (ETL) complex datasets
• Experience finding and using open-source libraries where appropriate
• Proficiency with automated unit, integration, and functional testing
• Strong code review and troubleshooting instincts, catching subtle bugs, security issues, and design drift in both human- and agent-written code
• Knowledge of which tools and technologies are currently best practice for a given problem, with the ability to consider solutions beyond those
• Ability to work in a fully remote team with a diverse set of skills and life experiences
• Ability to communicate ideas successfully, both verbally and in writing, with people at all levels of technical expertise, including non-technical colleagues
• Ability to creatively solve problems and to learn quickly and independently
• Experience with migrations from legacy systems to modern architectures (particularly Java to Go)
• Experience with Java, Kafka, or Cassandra
• Experience with CBRNE, defense/IC, or sensor-integration domains
• Familiarity with protobuf/gRPC, Docker Compose, GitHub Actions CI/CD
• Experience building or managing structured knowledge bases for AI agent consumption
• U.S. security clearance (or eligibility) is a plus but not required