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Work Mode

On-site

Job Type

Full Time

Job Description

DevOps / Cloud Engineer

What You’ll Do

  • Design & manage cloud infrastructure

    (AWS / GCP / Azure) for core services, data pipelines, and ML workloads
  • Build CI/CD pipelines

    for backend systems, ML model training/inference, and microservices
  • Deploy & optimize ML clusters

    — GPU nodes, autoscaling, Docker/Kubernetes-based workloads
  • Implement

    observability

    : metrics, logs, traces, alerting, SLOs
  • Own

    Infrastructure-as-Code

    (Terraform, CDK, Helm) for all environments
  • Improve

    developer velocity

    through automated builds, tests, deploy tools, and internal platform enhancements
  • Ensure

    security best practices

    : IAM, secrets management, VPC/networking, least-privilege
  • Participate in

    on-call rotation

    and support incident response for production systems

What You Bring

  • Strong experience with

    AWS/GCP

    (EKS/GKE, EC2, VPC, IAM, S3/Cloud Storage)
  • Deep expertise in

    Docker & Kubernetes

    , including GPU-aware orchestration
  • Hands-on experience with

    CI/CD systems

    (GitHub Actions, GitLab CI, Argo, Jenkins)
  • Knowledge of

    MLOps tooling

    : model serving, feature pipelines, artifact/versioning
  • (MLflow, Weights & Biases, KServe, Ray)
  • Solid

    Python or Go

    skills for automation tooling
  • Experience with

    monitoring & logging stacks

    (Prometheus, Grafana, ELK/EFK, OpenTelemetry)
  • Startup mindset

    : move fast, debug chaos, own outcomes end-to-end

Nice-to-Haves

  • Experience with

    distributed training

    (Ray, Horovod, PyTorch Distributed)
  • Security hardening

    , cost optimization, and infrastructure scaling expertise
  • Experience setting up

    GPU clusters

    (NVIDIA drivers, CUDA, MIG, Triton, Slurm/Ray clusters)

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Techmates Technologies

IT Services and IT Consulting

San Francisco

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