Senior Software Engineer - Agentic & Automation Engineering

Salesforce•McLean, VA

3d•$148,500 - $223,900•Onsite

About The Position

Salesforce is seeking a Senior Software Engineer to join their Agentic & Automation Engineering team. This role focuses on extending agentic and automation capabilities into Salesforce's Government Cloud (GovCloud) for the Government Security Operations Center (GSOC) CSIRT. The primary mission is to develop and deploy these platforms, designing, building, and operating playbooks, integrations, and agents that GSOC analysts will use daily. This is a hands-on Python engineering role that embraces AI-assisted software development, expecting candidates to intentionally and effectively use modern AI development tooling. The candidate must be a U.S. citizen operating on U.S. Soil without dual citizenship, capable of meeting customer and government screening standards.

Requirements

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.
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.

Nice To Haves

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.

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.