Note: The job is a remote job and is open to candidates in USA. Surefire Cyber is redefining incident response by delivering swift, strong responses to cyber incidents and helping clients prepare, respond, recover, and strengthen cyber resilience. The Senior Software Engineer will build AI-native Python applications, develop full-stack systems, own AWS infrastructure, and operate production software across engineering projects.
Responsibilities
- Build greenfield Python applications using agentic methods, including AI agent workflows with tools such as Claude Code, LangChain, or equivalent frameworks
- Architect the scaffold layer that coordinates multi-agent pipelines, including role separation, context injection, and output validation
- Integrate agentic systems with the GitHub-based knowledge store that serves as the org-wide context layer for engineering work
- Evaluate and adopt new agentic tooling and LLM capabilities as they emerge, bringing structured recommendations to the team
- Design and implement services, RESTful and event-driven APIs, and data access layers across Python backends and React frontends
- Contribute to integration between internal services and external platforms, including third-party APIs relevant to IR workflows and business operations
- Write code that other engineers can read, extend, and trust in production
- Own and operate AWS infrastructure across all environments (dev, staging, production), including Kubernetes, Terraform, and CI/CD via GitHub Actions. Engineers here own what they ship, from code to infrastructure — that’s a feature, not a burden
- Build monitoring, alerting, and observability so production issues surface early and resolve fast
- Ensure infrastructure aligns with Surefire’s security and compliance requirements. We’re a cybersecurity company; security is a design constraint, not a review step
- Identify weaknesses in the current architecture and propose pragmatic improvements with clear rationale
Skills
- 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
- 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 equity for all team members
- Remote workforce
- Generous paid time off plan and floating holidays
- 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.
- Paid parental leave
- Professional development and career advancement opportunities
- Ongoing coaching, clear feedback, recognition, and opportunities for career growth
Company Overview