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Surefire Cyber Inc.

Senior Software Engineer – AI Software, Operations

Surefire Cyber Inc.

Senior Software Engineer building greenfield Python applications leveraging agentic methods for a cybersecurity startup. Collaborating across both back and front end technologies within AWS infrastructure.

Posted 5/19/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
AWSCyber SecurityEC2KubernetesPythonReactTerraform

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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 (Strongly Preferred)
  • Familiarity with MCP (Model Context Protocol) server architecture and LLM context injection patterns (Strongly Preferred)
  • Background in cybersecurity, incident response, or compliance-adjacent engineering environments (Strongly Preferred)
  • Experience at a startup or high-growth environment where moving quickly, wearing multiple hats, and operating without a large support structure is the norm (Strongly Preferred)

Benefits

Comp & perks
  • 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.

ATS Keywords

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Hard Skills & Tools
PythonAPI designRESTful APIsevent-driven APIsAWSKubernetesTerraformGitHub ActionsAI agent workflowsdatabase management
Soft Skills
autonomyproblem-solvingcommunicationadaptabilityteam collaborationtime managementcritical thinkingself-enforcement of processambiguity handlingfast shipping