Senior DevOps Platform Engineer
New
S
Salt AIAI Life Sciences
USA, U.S. time zonesFull-TimeSenior
Salary140,000 - 180,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSDockerPythonBashGCPKubernetesCI/CDTerraformCloudFormation
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.
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.
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