Surefire Cyber

Cybersecurity

SeniorSoftwareEngineer(AISoftware&Operations)

Elkridge, Maryland, United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Engineer (AI Software & Operations) at Surefire Cyber. Skills: AI Software and Ops, agentic methods, full-stack development, AWS infrastructure, CI/CD pipelines, AI-native systems. build greenfield applications in Python using agentic methods. own critical infrastructure”

What You'll Achieve.

code in production by the end of your first sprint; working mental model of the environment and have started closing the highest-leverage gaps within 30 days; ship consistently; make the systems around you better every week

Industry & Context.

Cybersecurity
Problems you'll solve

reasoning about code independently of AI tooling; Identify weaknesses in the current architecture and propose pragmatic improvements with clear rationale

Eligibility Requirements

Willingness to work beyond normal business hours to meet business demands, as needed

What They're Looking For.

Must Have

software engineering fundamentals, writing, debugging, and reasoning about code independently of AI tooling, 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

Nice to Have

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

What You'll Do.

build greenfield applications in Python using agentic methods

own critical infrastructure

ship production software across the full stack

make architecture calls

operate the systems you build

Build greenfield Python applications using agentic methods

including AI agent workflows

Architect the scaffold layer that coordinates multi-agent pipelines

Integrate agentic systems with the GitHub-based knowledge store

Evaluate and adopt new agentic tooling and LLM capabilities

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

Write code that other engineers can read

and trust in production

Own and operate AWS infrastructure across all environments (dev

Ensure infrastructure aligns with Surefire’s security and compliance requirements

Identify weaknesses in the current architecture and propose pragmatic improvements

How You'll Work.

Team & Collaboration

operate with the teamwork, tenacity, and empathy that define how we work; serve as an individual contributor across engineering projects in flight; working with other team members to expand your knowledge base and experience

Process & Methodology

operate on a 2-week sprint cadence, ship fast, handle ambiguity, self-enforce process

Full Job Description

About Surefire Cyber 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-toshoulder 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 How You’ll Make An Impact 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. Your Role I

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