Senior Software Engineer

Role Description

Surefire Cyber is looking for a Senior Software Engineer (AI Software and Ops) to build greenfield applications in Python using agentic methods, own critical infrastructure, and ship production software across the full stack. Reporting to the Head of Engineering, you will write code, make architecture calls, and operate the systems you build. This is a startup, and the right person thrives in ambiguity, prototypes fast, iterates in tight loops, and ships working software every sprint.

The right person is a full-stack generalist who writes production-quality code, has strong opinions on how to build and run infrastructure, and is genuinely excited about what agentic AI makes possible. You will work across the entire engineering surface: Python backends, React frontends, AWS infrastructure, CI/CD pipelines, and AI-driven workflows. Surefire is AI-native by design, and you will operate with the teamwork, tenacity, and empathy that define how we work.

You will serve as an individual contributor across engineering projects in flight, including support of existing Python/React applications in active use by customers and new builds. The team operates on a 2-week sprint cadence.

Qualifications

• Strong software engineering fundamentals: writing, debugging, and reasoning about code independently of AI tooling, with a track record of building, not just maintaining.
• Full-stack capability across backend (Python, API design, relational and non-relational databases) and frontend (React or equivalent).
• Production-level AWS experience, including VPC design, EC2/ECS/Lambda, IAM, RDS, S3, and Kubernetes.
• Terraform proficiency as a primary tool, not a secondary skill.
• GitHub Actions or equivalent CI/CD pipeline experience at a production scale.
• Comfort operating with significant autonomy on a small team where you ship fast, handle ambiguity, and self-enforce process.
• Willingness to work beyond normal business hours to meet business demands, as needed.

Requirements

• Hands-on experience building or operating AI agent workflows using tools such as Claude Code, LangChain, AutoGen, CrewAI, or equivalent.
• Familiarity with MCP (Model Context Protocol) server architecture and LLM context injection patterns.
• Background in cybersecurity, incident response, or compliance-adjacent engineering environments.
• Experience at a startup or high-growth environment where moving quickly, wearing multiple hats, and operating without a large support structure is the norm.

Benefits

• Competitive compensation plan and total rewards package for team members.
• Remote workforce.
• Generous paid time off plan and floating holidays.
• Paid parental leave.
• Employer paid premiums for both team members and their dependents for medical, dental, and vision.
• Comprehensive health, vision, dental, 401K matching program, disability, Flexible Spending Accounts (FSA), Health Savings Account (HSA), Life and AD&D benefits.
• Professional development and career advancement opportunities.
• We prioritize employee growth and development through a robust performance management platform to provide ongoing coaching, clear feedback, recognition, and opportunities for career growth.