Senior Software Engineer; AI Software & Operations

Surefire Cyber is redefining the incident response model by delivering a swifter, stronger response to cyber incidents such as ransomware, email compromise, malware, data theft, and other threats. Our client-centric approach reduces stress and provides clients the confidence needed to prepare, respond, and recover from cyber incidents - and fortify their cyber resilience after an event.

Surefire Cyber's approach and delivery are designed by industry veterans who have worked shoulder-to- shoulder with law firms, insurance carriers, brokers, law enforcement, and impacted organizations in responding to cyber incidents. We are marshaling this experience to address the industry's persistent challenges of efficiency, predictability, and transparency.

Surefire Cyber is redefining the incident response model by delivering a swifter, stronger response to cyber incidents such as ransomware, email compromise, malware, data theft, and other threats. Our client-centric approach reduces stress and provides clients the confidence needed to prepare, respond, and recover from cyber incidents - and fortify their cyber resilience after an event.

Surefire Cyber's approach and delivery are designed by industry veterans who have worked shoulder-to- shoulder with law firms, insurance carriers, brokers, law enforcement, and impacted organizations in responding to cyber incidents. We are marshaling this experience to address the industry's persistent challenges of efficiency, predictability, and transparency.

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.

• Build greenfield Python applications using agentic methods, including AI agent workflows with tools such as Claude Code, Lang Chain, 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 Git Hub-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 Git Hub 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

You have code in production by the end of your first sprint. Within 30 days, you have a working mental model of the environment and have started closing the highest-leverage gaps. You ship consistently, ask good questions, and make the systems around you better every week.

• 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…