Senior DevOps Platform Engineer

• 5+ years of experience operating production cloud infrastructure (GCP and/or AWS), ideally in multi-cloud environments.
• Deep experience with CI/CD systems and pipeline design (e.g., GitLab CI, GitHub Actions).
• Strong experience with Kubernetes and container orchestration in production.
• Hands-on experience with infrastructure-as-code tools (Terraform, CloudFormation, or similar).
• Proficiency with Docker and core containerization concepts.
• Experience implementing and operating observability stacks (metrics, logs, traces).
• Solid understanding of web application deployment, scaling, and reliability fundamentals.
• Scripting skills in Python, Bash, or similar for automation.
• Experience integrating automated tests into deployment workflows.
• Strong problem-solving and debugging skills, especially in distributed systems.
• Clear, concise communication and a collaborative working style.

• Experience with database administration, backup, and recovery strategies.
• Familiarity with security best practices for cloud-native and multi-tenant applications.
• Experience with performance testing, capacity planning, and cost optimization.
• Strong understanding of networking, load balancing, and traffic routing.
• Experience with AI/ML, HPC, or other data- and compute-intensive workloads.
• Contributions to internal DevOps/Platform tooling or open-source automation projects.

• You’re motivated by giving developers a platform that “just works” so they can ship safely and fast.
• You default to automation, repeatability, and simplicity over manual, one-off fixes.
• You’re comfortable working across SaaS, customer VPCs, and on-prem environments and enjoy the challenge of standardizing them.
• You naturally validate your work end-to-end—using the application, not just watching dashboards.
• You can explain complex infrastructure tradeoffs to any audience and drive alignment.
• You’re excited to apply your skills to AI in life sciences and support teams doing high-impact scientific work.

• Competitive salary based on location and experience.
• Comprehensive health coverage, including medical, dental, mental health, and 401(k).
• Fully remote role, collaborating primarily within U.S. time zones.

At Salt AI, we’re building more than just a product—we’re creating the systems that will power the future of AI development for life sciences.

If you’re excited about designing and operating backend services that enable breakthrough scientific discoveries, we’d love to hear from you.

We’re committed to building a diverse, inclusive team and encourage applications from candidates of all backgrounds and experiences.