
Senior Software Engineer – AI Software, Operations
Posted Jun 20

Posted Jun 20
This is a fully remote position, open to applicants in Maryland.
• Develop innovative Python applications from the ground up using agentic methodologies, incorporating AI agent workflows with tools such as Claude Code, LangChain, or similar frameworks.
• Design the scaffold layer that manages multi-agent pipelines, encompassing role separation, context injection, and output validation.
• Connect agentic systems with the GitHub-based knowledge repository that acts as the organization-wide context layer for engineering activities.
• Assess and integrate emerging agentic tools and LLM capabilities, providing structured recommendations to the team.
• Create and implement services, RESTful and event-driven APIs, as well as data access layers across Python backends and React frontends.
• Facilitate integration between internal services and external platforms, including third-party APIs relevant to incident response workflows and business operations.
• Write maintainable code that is readable, extensible, and reliable in production environments for fellow engineers.
• Manage and operate AWS infrastructure across all environments (development, staging, production), utilizing Kubernetes, Terraform, and CI/CD through GitHub Actions. Engineers here take ownership of their deliverables, from code to infrastructure — this is a feature, not a burden.
• Establish monitoring, alerting, and observability systems to ensure that production issues are identified early and resolved quickly.
• Ensure that infrastructure complies with Surefire’s security and compliance standards. As a cybersecurity firm, security is a design constraint, not merely a review step.
• Recognize weaknesses in the current architecture and suggest practical improvements with a clear justification.
• Solid software engineering principles: ability to write, debug, and reason about code without relying on AI tools, with a proven history of building rather than just maintaining.
• Full-stack expertise that encompasses backend (Python, API design, both relational and non-relational databases) and frontend (React or similar technologies).
• Experience with AWS at a production level, including VPC design, EC2/ECS/Lambda, IAM, RDS, S3, and Kubernetes.
• Proficiency in Terraform as a primary tool, not just an auxiliary skill.
• Experience with GitHub Actions or a comparable CI/CD pipeline at a production scale.
• Ability to operate with significant autonomy within a small team where fast shipping, handling ambiguity, and self-enforcing processes are essential.
• Willingness to work beyond standard business hours to fulfill business needs as required.
• Practical experience in building or managing AI agent workflows using tools such as Claude Code, LangChain, AutoGen, CrewAI, or similar (strongly preferred).
• Familiarity with MCP (Model Context Protocol) server architecture and LLM context injection patterns (strongly preferred).
• Background in cybersecurity, incident response, or engineering roles related to compliance (strongly preferred).
• Experience in a startup or rapidly growing environment where agility, multi-tasking, and operating without extensive support are common (strongly preferred).
• Competitive compensation package and total rewards for team members.
• Remote working opportunities.
• Generous paid time off policy along with floating holidays.
• Paid parental leave.
• Employer-covered premiums for both team members and their dependents for medical, dental, and vision insurance.
• Comprehensive benefits including health, vision, dental coverage, 401K matching program, disability insurance, Flexible Spending Accounts (FSA), Health Savings Account (HSA), and Life and AD&D benefits.
• Opportunities for professional development and career progression.
• We emphasize employee growth and development through a robust performance management platform, offering ongoing coaching, clear feedback, recognition, and opportunities for career advancement.
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