Description
Overview of the Role:
We are now extending our agentic and automation capabilities into Salesforce's Government Cloud (GovCloud) so our Government Security Operations Center (GSOC) CSIRT can respond at the same speed and scale as our commercial CSOC. As a Senior Software Engineer on the team, your primary mission is to help develop and deploy these agentic and automation platforms into GovCloud — designing, building, and operating the playbooks, integrations, and agents that GSOC analysts will rely on every day, and translating their incident response workflows into reliable, auditable automation. This is a deeply hands-on Python engineering role, and it's also a role for someone already operating fluently in the new era of AI-assisted software development. We don't write code the way we used to. You will be expected to use modern AI development tooling intentionally and effectively as a core part of how you ship.
This candidate must be a U.S. citizen (U.S. born or naturalized) operating on U.S. Soil who does not hold dual citizenship with the ability to meet customer and government screening standards applicable to this role.
Responsibilities:
Design, implement, and operate Python-based playbooks, actions, integrations, and agents on the Luna platform that automate CSIRT workflows in GovCloud — across triage, enrichment, containment, response, and post-incident
Partner directly with GSOC CSIRT analysts and incident responders to translate their tradecraft into trustworthy, auditable automation
Extend Luna's agentic capabilities (LLM-backed actions, tool use, decision agents, MCP integrations) into the GovCloud environment, accounting for the isolation, compliance, and data-handling requirements that come with that boundary
Use AI-assisted software development tooling fluently and intentionally as part of your daily engineering workflow — not as a novelty, but as a force multiplier for shipping faster and with higher quality
Drive end-to-end ownership of the work you build: scoping, design, implementation, testing, deployment, observability, on-call support, and post-incident hardening
Raise the bar for the team's engineering practices — code review, testing, CI/CD, secure-by-default integrations, and how we evaluate and adopt new AI development tools
Support the team's engineering excellence by performing code reviews and mentoring other engineers
Business hour on-call to support software services owned by the team (service ownership)
Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance
Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
Required Qualifications:
5+ years of professional software engineering experience, with a strong track record of shipping production Python
Experience with Terraform, Kubernetes, Docker, and CI/CD systems used in regulated deployments
Hands-on experience building automation, integrations, or backend services that interact with multiple third-party APIs
A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
Experience reviewing AI-generated code with a critical eye and orchestrating AI tools across multi-step engineering tasks
Strong fundamentals: clean code, thoughtful API design, testing, version control, CI/CD, observability
Experience with public cloud services (AWS, Google Cloud Platform, or Azure)
Excellent written and verbal communication skills — you can explain technical decisions to both engineers and non-engineer security stakeholders
Preferred Qualifications:
Direct experience building on or contributing to a SOAR platform (XSOAR, Tines, Splunk SOAR, etc.)
Experience working alongside a SOC, CSIRT, IR, or threat detection team — you understand what an analyst's day actually looks like
Hands-on experience building agentic systems in production: LLM-backed agents, tool/function calling, MCP servers, retrieval-augmented systems, evaluation harnesses for non-deterministic systems
Familiarity with Salesforce GovCloud, FedRAMP, IL5, or comparable regulated cloud environments
Background in detection engineering, incident response, threat hunting, or adjacent security disciplines
Knowledge of security fundamentals: authentication/authorization frameworks (e.g., SSO, SAML, OAuth), secure transport (e.g., SSL, TLS), identity management (e.g., certificates, PKI)
Prior experience leading a project end-to-end as the technical owner across multiple stakeholder teams