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DevOps Engineer

AgileEngine, LLC.
Remote
Remote

About this role

DevOps Engineer

We are looking for a DevOps Engineer to build and run cloud infrastructure, CI/CD, and observability for Data and AI teams in a PCI-compliant environment.

The mandatory requirements are solid SQL skills, experience with PCI-DSS and compliance in regulated environments, 4+ years of DevOps, SRE, or platform engineering experience, CI/CD pipelines, Terraform or similar infrastructure-as-code, Kubernetes, AWS, Azure, or GCP, Python, Bash, or Go scripting, availability for on-call rotations, and strong English communication skills.

Must haves

  • 4+ years of professional DevOps, SRE or platform-engineering experience operating production services.
  • 3+ years of hands-on experience building CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI or CircleCI) and managing infrastructure as code (Terraform, Pulumi or CloudFormation).
  • Working knowledge of Kubernetes (EKS, AKS or GKE) and container tooling (Docker, Helm, ArgoCD or Flux).
  • Strong scripting skills in Python, Bash or Go; solid SQL skills and strong comfort with at least one cloud platform (AWS, Azure or GCP).
  • Hands-on experience with observability stacks: New Relic, Prometheus, Grafana, OpenTelemetry, ELK or Datadog.
  • Solid understanding of cloud security and compliance practices, particularly in PCI-compliant or regulated environments.
  • Proven ability to work independently and within a team, managing priorities across concurrent projects and time zones, including on-call rotations.
  • Strong written and verbal communication skills; able to work effectively with both technical and non-technical stakeholders.
  • Upper-intermediate English level.

Nice to haves

  • Experience operating Dataiku DSS, Snowflake, or other large-scale data and analytics platforms in production.
  • Experience with service meshes (Istio, Linkerd), API gateways, and zero-trust networking.
  • Experience with policy-as-code (OPA / Rego, Checkov, tfsec) and supply-chain security (SBOM, Sigstore).
  • Experience with FinOps practices and cloud cost optimization.
  • Experience supporting ML or LLM workloads — GPU scheduling, model-serving infra, vector databases or LangSmith / Langfuse.
  • Experience with database administration / reliability for PostgreSQL, MySQL or Snowflake.
  • AWS / Azure / GCP Professional, CKA / CKAD, or HashiCorp Terraform certification.
  • Experience in loyalty, martech, adtech or a comparable data-rich B2B domain.

What you will do

  • Strategy, Roadmap & Vision – build the roadmap for devops and observability in Data & AI teams.
  • Design and build cloud infrastructure as code with Terraform (or Pulumi / CloudFormation), packaging reusable modules for AWS, Azure or GCP.
  • Own CI/CD pipelines in GitHub Actions, Jenkins or GitLab CI — build, test, security scanning, blue-green or canary deploys, and automated rollback.
  • Operate Kubernetes clusters (EKS, AKS or GKE) and container workloads with LENS, Helm, ArgoCD or Flux — including autoscaling, ingress, secrets and policy.
  • Build observability with Prometheus, Grafana, OpenTelemetry, ELK or Datadog — metrics, logs, traces, dashboards and SLO-driven alerting.
  • Implement security and compliance controls: IAM, SSO, secrets management (Vault / KMS), vulnerability scanning, policy-as-code (OPA, Checkov) and PCI-aware patterns.
  • Lead incident response — on-call, runbooks, blameless post-mortems, and continuous reliability work to drive down MTTR and toil.
  • Partner with developers on local dev experience, golden paths, internal platform tooling and developer self-service.
  • Help shape internal platform standards as the stack evolves, contributing to design reviews and sharing knowledge across the India and U.S. teams.
  • Participate in a collaborative DevOps environment, working closely with developers, AI engineers, QA, DBAs and product partners across environments.

Perks

  • Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
  • Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
  • Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
  • Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
  • Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
  • Well-being & support: access local well-being programs and people-focused support tailored to your location

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