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Senior DevOps Engineer
Not specifiedFull-timeDevOps & SREComputer HardwareSemiconductors
Own DevOps, infrastructure, security, release, and reliability for a mission-critical AI observability platform deployed as SaaS and on-premises. Partner with software and AI engineers to deliver secure, scalable services for enterprise customers.
Responsibilities
- Own the DevOps, infrastructure, security, release, and reliability lifecycle from development environments through sustained production operations
- Build and operate Kubernetes environments and Helm deployments for a microservices platform across SaaS and on-premises deployments
- Develop GitLab CI/CD pipelines with automated testing, container builds, vulnerability scanning, and versioned image and Helm chart publishing
- Automate infrastructure provisioning, configuration, upgrades, and operational workflows
- Operate PostgreSQL, Temporal, and S3-compatible storage, including capacity planning, backups, recovery testing, and safe migrations
- Improve release reliability through deployment validation, low-downtime strategies, persistent-state protection, and workflow recovery plans
- Deliver observability and security through monitoring, secrets management, identity integration, TLS, Kubernetes RBAC, network policies, and container hardening
- Troubleshoot distributed systems, investigate incidents, define reliability targets, and improve platform performance and resource efficiency
Requirements
- Bachelor’s degree in computer science, software engineering, or a related field, or equivalent experience
- At least 5 years of DevOps, SRE, or platform engineering experience supporting distributed applications and microservices
- Hands-on Kubernetes, Docker, and Helm experience, including networking, storage, scheduling, scaling, and troubleshooting
- Linux administration skills and proficiency in Python and Bash; experience with infrastructure as code and configuration tools such as Terraform and Ansible
- Experience building and maintaining CI/CD pipelines, artifact management, automated quality gates, and secure release practices
- Experience operating PostgreSQL or a comparable relational database, including SQL, migrations, backup and restore, and performance troubleshooting
- Strong networking and observability fundamentals, including TCP/IP, DNS, HTTP, TLS, load balancing, ingress, metrics, logs, traces, dashboards, and alerting
- Understanding of secure infrastructure operations and incident response
Nice to have
- Experience operating AI applications, agent platforms, or LLM services
- Familiarity with Temporal, LangGraph, MCP, Langfuse, ClickHouse, Redis/Valkey, or S3-compatible storage
- Experience with OpenTelemetry, Datadog APM, or Prometheus/Grafana
- Experience with self-hosted Kubernetes, OpenShift, Kubernetes operators, CloudNativePG, GPU clusters, or AI data centers
- Experience building reproducible AMD64 and ARM64 container images, optimizing BuildKit pipelines, or securing software supply chains
Benefits
- Competitive salary
- Generous benefits package