Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
- 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
- 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
Benefits
- Comprehensive health coverage, including medical, dental, mental health, and 401(k).
- Fully remote role, collaborating primarily within U.S. time zones.
Company Overview