Senior Software Engineer - Agentic & Automation Engineering

Salesforce Salesforce · Enterprise · Mclean, Washington - Bellevue, VA

Senior Software Engineer role focused on developing and deploying agentic and automation platforms into Salesforce's Government Cloud (GovCloud) for security operations. The role involves building Python-based playbooks, integrations, and agents, translating analyst workflows into automation, and leveraging AI-assisted development tools. It requires strong Python engineering skills, experience with cloud services and regulated deployments, and a genuine AI-first approach to development.

What you'd actually do

  1. 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
  2. Partner directly with GSOC CSIRT analysts and incident responders to translate their tradecraft into trustworthy, auditable automation
  3. 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
  4. 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
  5. Drive end-to-end ownership of the work you build: scoping, design, implementation, testing, deployment, observability, on-call support, and post-incident hardening

Skills

Required

  • 5+ years of professional software engineering experience
  • shipping production Python
  • Terraform
  • Kubernetes
  • Docker
  • CI/CD systems used in regulated deployments
  • building automation, integrations, or backend services that interact with multiple third-party APIs
  • AI-first approach to engineering
  • Using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
  • Advanced prompt engineering skills
  • writing precise, structured prompts
  • cultivate the system context that makes AI outputs reliable, secure, and production-ready
  • Experience reviewing AI-generated code with a critical eye
  • orchestrating AI tools across multi-step engineering tasks
  • Strong fundamentals: clean code, thoughtful API design, testing, version control, CI/CD, observability
  • public cloud services (AWS, Google Cloud Platform, or Azure)
  • Excellent written and verbal communication skills

Nice to have

  • 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
  • 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

What the JD emphasized

  • must be a U.S. citizen
  • operating on U.S. Soil
  • does not hold dual citizenship
  • meet customer and government screening standards
  • regulated deployments
  • AI-first approach to engineering
  • Advanced prompt engineering skills
  • Experience reviewing AI-generated code
  • orchestrating AI tools across multi-step engineering tasks
  • comparable regulated cloud environments

Other signals

  • AI-assisted software development
  • agentic and automation platforms
  • LLM-backed actions, tool use, decision agents