Senior DevOps Platform Engineer

Salt AI is building the intelligence layer for the enterprise, starting with life sciences. In a world where AI is fragmented across models, tools, and data silos, Salt unifies them through a compliance-first orchestration platform that lets regulated organizations deploy AI securely, at scale, and with confidence.

We’re creating the backend systems that power real-world AI workflows across drug discovery, clinical development, and commercial operations. Our platform turns complex, regulated environments into intelligent, adaptive systems where autonomous AI agents operate in harmony with existing infrastructure.

As a Senior Dev Ops Platform Engineer, you will own the deployment backbone that makes Salt’s multi-environment AI platform reliable, fast, and secure. You’ll design and operate infrastructure that runs across SaaS, VPC, and on-prem—supporting customers who depend on Salt for mission‑critical life sciences workloads.

• Drive velocity by building and maintaining high-speed, reliable CI/CD pipelines.
• Own multi‑cloud deployment consistency across SaaS, VPC, and on‑prem environments (GCP, AWS, Azure), ensuring parity and predictable behavior.
• Define and enforce infrastructure and deployment standards to prevent environment drift.
• Implement and evolve monitoring, logging, and alerting to ensure platform health, performance, and SLOs.
• Automate provisioning and configuration of infrastructure using infrastructure‑as‑code.
• Design and maintain application security, backup, and disaster recovery procedures.
• Partner closely with developers to improve application performance, reliability, and operability.
• Participate in incident response, including on‑call rotations, root cause analysis, and remediation.
• Maintain clear, discoverable documentation for infrastructure, deployment processes, and runbooks.
• Support QA by enabling automated testing in pipelines and stable test environments.
• Champion and spread best practices for code quality, security, and deployment standards.

• 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., Git Lab CI, Git Hub Actions).
• Strong experience with Kubernetes and container orchestration in production.
• Hands‑on experience with infrastructure‑as‑code tools (Terraform, Cloud Formation, 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 Dev Ops/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’r…