Note: The job is a remote job and is open to candidates in USA. Surefire Cyber is a cybersecurity company delivering incident response and cyber resilience services. The Senior Software Engineer will build AI-native Python applications, develop full-stack systems, and own AWS infrastructure, CI/CD, security, and production operations 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 through a robust performance management platform
Company Overview