Senior DevOps Platform Engineer

Salt AI is building a compliance-first intelligence and orchestration platform for regulated life sciences organizations. The Senior DevOps Platform Engineer will own the deployment backbone for the company’s multi-environment AI platform, designing and operating reliable, secure infrastructure across SaaS, VPC, and on-premises environments. The role focuses on CI/CD, cloud consistency, observability, automation, security, reliability, and incident response.

Responsibilities:

• 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

Requirements:

• 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