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Senior Software Engineer - Agentic & Automation Engineering

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Salesforce
Full Time position
Listed on 2026-06-13
Job specializations:
  • Software Development
    DevOps, Cloud Engineer - Software, AI Engineer (Applied/Software), Software Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Job Category

Software Engineering

Job Details About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we’re looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce’s core values at the heart of it all.

Ready to level‑up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Overview Of

The Role

We are now extending our agentic and automation capabilities into Salesforce’s Government Cloud (Gov Cloud) 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 Gov Cloud — 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 is 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 and agrees to complete a U.S. federal government Minimum Background Investigation (MBI) for a Moderate Public Trust position.

Responsibilities
  • Design, implement, and operate Python‑based playbooks, actions, integrations, and agents on the Luna platform that automate CSIRT workflows in Gov Cloud — 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 Gov Cloud 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…
Position Requirements
10+ Years work experience
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