DevOps Engineer, GovCloud Mid/Senior

Must be a U.S. Citizen operating on U.S. Soil with ability to meet customer and government screening standards applicable to this role, including a Criminal Justice Information Services screening with fingerprint scan.

Due to the citizenship requirement for this role, which supports U.S. federal, state, and/or local government customers, citizenship will be verified through two of the following REAL ID Act documents: U.S. Passport, Passport Card, REAL Driver's License, Global Entry Card, U.S. Government CAC/PIV.

We are looking for an experienced DevOps engineer to join a team of highly skilled Systems, Site Reliability, and DevOps Engineers working on service availability and performance. Our goal is a simple one: ensure maximum availability of Salesforce’s Government Cloud infrastructure through proactive enhancements, adept troubleshooting and ensuring security compliance.

Equally important is advanced prompt engineering — the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.

If you have a passion for problem solving, quickly diagnosing root causes and ensuring the resiliency of production systems, this role is for you!

In this role:

• You are strong in solving Infrastructure related problems with code (with a focus on reusability) and you've mastered building compute capacity, worked on Kubernetes deployments at scale. You will be responsible for leading key projects in design, development, and post-release support of the Salesforce platform and tools that are used by a variety of internal teams to support our government customers.
• Collaborating with internal teams for efficient iterations of automated CI/CD pipelines with the goal of maintaining service owner feature velocity, solving and reproducing issues reported in Production environments.
• 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.
• 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.
• Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance
• You’ll demonstrate a sense of autonomy and vitality for ownership of your areas and proactively take accountability for progress forward.
• You will get a chance to understand how things work with a large-scale production infrastructure within 3rd party cloud service providers.
• You will transform human heavy processes into automated governance solutions.
• Create and maintain detailed documentation.
• You will get a chance to improve your influence and collaboration skills working with various other Infrastructure teams across Salesforce.
• You will be interacting with a highly innovative and creative team of developers, open-source committers and architects.
• Researching and finding the right tools for the job, and if they don't exist creating them.
• Requirements:
• Proven expertise in AWS environments, including infra build and optimization. Skilled in IaaS based TCP/IP networking protocols and associated components like transit gateway (tgw), vpc, security groups, and Route tables.
• 3+ years deploying distributed apps with containers (Docker) & orchestration (Kubernetes, EKS, GKE)
• 3+ years development experience in Infrastructure as code and config management such as Terraform and/or Ansible
• 3+ years Linux system engineering experience
• 2+ years developing or managing infrastructure and application security for Highly Sensitive Customer Data & Environments (IAM, CI/CD, PKI)
• 3+ years experience deploying with a CI orchestration service (Spinnaker, Jenkins)
• 2+ years working experience scripting/programming language (Shell, Python, Golang)
• Experience with Log Management and Analytics tools such as Splunk / ELK
• 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.
• Possesses strong analytical skills and a dedication to ongoing professional development.
• Demonstrates excellent interpersonal abilities with proficiency in both written and oral communication.
• Nice to Haves:
• Background in production service management, including on-call/PagerDuty rotations and the monitoring and alerting of service-specific SLIs and SLOs
• Experience in any of the monitoring tools like Grafana, Prometheus, etc.
• Experience developing security & compliance into pipelines such as (OPA, Checkov, Twistlock, Prisma)