Senior DevOps Platform Engineer

Help Us Build Scalable AI Solutions for Life Sciences Our Mission 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.

About The Role As a Senior DevOps 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.

The Role (What You’ll Be Doing)

• 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.

Technical Requirements - Core Skills (Must Have)

• 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.

Preferred / Bonus Skills (Nice To Have)

• 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.

What Makes You A Great Fit

• 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.

Perks And Benefits

• Competitive salary based on location and experience.
• Comprehensive health coverage, including medical, dental, mental health, and 401(k).
• Full…