DevOps (GitLab-based platform CICD 30*3 pipelines)

13 days ago

Remote, United States or San Jose, CA, USASenior

Responsibilities

Design, implement, and maintain end-to-end CI/CD pipelines for software applications and machine learning models, including automated build, testing, deployment, and rollback workflows.
Build, optimize, and scale cloud-native infrastructure with Kubernetes and Docker, including specialized GPU clusters for AI workloads and model inferencing.
Own high-availability production architecture, disaster recovery, self-healing, capacity planning, and performance tuning.
Automate reproducible and auditable infrastructure provisioning across multiple cloud environments using Terraform, Ansible, and Helm.
Develop monitoring, logging, alerting, and AI model telemetry systems using tools such as Prometheus, Grafana, and ELK/EFK.
Build and improve the Internal Developer Platform and golden paths for product, model, and data-science teams.
Establish system stability, security, Zero Trust access controls, secrets management, release governance, and SOC2 and ISO27001 compliance practices.
Lead troubleshooting and root-cause analysis during complex anomalies and major incidents, and implement preventative automation.
Collaborate with R&D, Data Science, Security, and Business teams to improve engineering workflows and efficiency.
Mentor engineers or serve as a technical lead when needed.

Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field.
At least 5 years of hands-on experience in DevOps, Site Reliability Engineering, or cloud infrastructure roles.
Expert knowledge of Linux operating systems and networking concepts including TCP/IP, DNS, HTTP, load balancing, and VPCs.
Deep production-level expertise with Docker and Kubernetes, including cluster management and orchestration principles.
Experience designing and managing infrastructure on public or hybrid cloud platforms, including multi-cloud and hybrid-cloud strategies.
Strong programming or scripting ability in at least one major language such as Go, Python, or Shell.
Practical understanding of CI/CD, Infrastructure as Code, observability, and Site Reliability Engineering principles.
Preferred experience with MLOps, model-serving or inferencing frameworks such as vLLM, TGI, or Triton Inference Server, and GPU clusters.
Preferred experience with large-scale distributed systems or high-concurrency environments.
Preferred experience designing and building Internal Developer Platforms.
Preferred familiarity with Zero Trust architecture, automated security testing, DevSecOps, SOC2, and ISO27001.
Preferred technical leadership, mentoring, or DevOps team management experience.
Experience or strong judgment regarding LLM-driven code or configuration helpers and automation-first incident management is valued.

201-500 employees