DevOps Engineer, GovCloud Mid/Senior

$96k - $260k • New York - New York

Posted 1d ago

Remote Work Policy

On-site

Categories

AI Engineer

About the job

Salesforce is seeking an experienced DevOps engineer to join a team focused on service availability and performance for its Government Cloud infrastructure. The primary goal is to ensure maximum availability through proactive enhancements, adept troubleshooting, and security compliance. A key aspect of this role involves advanced prompt engineering to create reliable, secure, and production-ready AI outputs. The ideal candidate will have a passion for problem-solving, diagnosing root causes, and ensuring the resiliency of production systems, while also embracing AI as a core part of their development workflow.

Responsibilities

  • Lead key projects in the design, development, and post-release support of the Salesforce platform and tools.
  • Collaborate with internal teams to iterate on automated CI/CD pipelines, maintaining service owner feature velocity and resolving production issues.
  • Build and ship production-grade software using modern engineering practices, integrating AI into the development workflow.
  • Design and orchestrate complex systems for seamless AI agent integration into human workflows.
  • Contribute to building and maintaining shared system context for AI accuracy and reliability.
  • Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.
  • Transform human-heavy processes into automated governance solutions.
  • Create and maintain detailed documentation.
  • Research and implement appropriate tools, or create new ones if needed.
  • Proactively take accountability for progress in assigned areas.

Requirements

  • Proven expertise in AWS environments, including infrastructure build and optimization.
  • Skilled in IaaS-based TCP/IP networking protocols and associated components (transit gateway, VPC, security groups, route tables).
  • 3+ years deploying distributed applications with containers (Docker) and orchestration (Kubernetes, EKS, GKE).
  • 3+ years development experience in Infrastructure as Code and configuration management (Terraform, 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 in scripting/programming languages (Shell, Python, Golang).
  • Experience with log management and analytics tools (Splunk, ELK).
  • Demonstrated AI-first approach to engineering, using AI tools (Claude Code, GitHub Copilot, Codex, Cursor) in development workflows.
  • Advanced prompt engineering skills for reliable, secure, and production-ready AI outputs.
  • Strong analytical skills and dedication to ongoing professional development.
  • Excellent interpersonal, written, and oral communication skills.

About Salesforce

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