Senior Software Engineer - Agentic & Automation Engineering

Job Category Software Engineering 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 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 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. Benefits We offer a variety of benefits to help you live well including: time‑off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. In the United States, compensation offered will be determined by factors such as location, job level, job‑related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. The typical base salary range for this position is $148,500 - $223,900 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. Equal Opportunity Employer Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that is inclusive, and free from discrimination. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. #J-18808-Ljbffr salesforce.com, inc.