Remote Azure Devops Engineer (Docker, Kubernetes, Ci/Cd)
Pearster
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Benefits offered by this job
Job summary
AgileEngine is seeking a DevOps Engineer to build and run cloud infrastructure, CI/CD, and observability for Data and AI teams in a PCI‑compliant environment. You will design scalable pipelines across AWS/Azure/GCP, manage Kubernetes clusters, implement security controls, and collaborate with software engineers, data scientists, and product teams across time zones.
You will lead automation, monitoring, and reliability initiatives, working with on-call rotations and a strong focus on security and
Qualifications
- 4+ years of professional DevOps, SRE, or platform-engineering experience operating production services.
- 3+ years of hands-on experience building CI/CD pipelines and managing infrastructure as code (Terraform, Pulumi, 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 cloud platform experience (AWS, Azure, or GCP).
- Hands-on experience with observability stacks: New Relic, Prometheus, Grafana, OpenTelemetry, ELK, or Datadog.
- Solid understanding of cloud security and PCI-compliance in regulated environments.
- Proven ability to work independently and in a team with on-call rotations.
- Strong written and verbal communication with technical and non-technical stakeholders.
Responsibilities
- Strategy, Roadmap & Vision – build the DevOps and observability roadmap for Data & AI teams.
- Design and build cloud infrastructure as code for AWS/Azure/GCP using Terraform/Pulumi/CloudFormation.
- Own CI/CD pipelines in GitHub Actions, Jenkins, or GitLab CI with tests, security scans, blue‑green or canary deploys, and automated rollback.
- Operate Kubernetes clusters (EKS/AKS/GKE) and container workloads with Helm/ArgoCD/Flux, including autoscaling and secrets management.
- Build observability with Prometheus, Grafana, OpenTelemetry, ELK, or Datadog; setup dashboards, metrics, logs, and traces.
- Implement security and compliance controls: IAM, SSO, secrets management, vulnerability scanning, policy-as-code, PCI-aware patterns.
- Lead incident response, on-call, runbooks, and blameless post-mortems; reduce MTTR and toil.
- Collaborate with developers for local dev experience, internal tooling, and self‑service.
- Help shape internal platform standards and share knowledge across teams.
Skills
Tools
Job description
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
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.
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.
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 infrastructure, vector databases, or LangSmith / Langfuse.
- Experience with database administration / reliability for PostgreSQL, MySQL, or Snowflake.
- 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 AND BENEFITS
- Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation : USD-based pay with education, fitness, and team activity budgets.
- Exciting projects : Modern solutions with Fortune 500 and top product companies.
- Flextime : Flexible schedule with remote and office options.
Job Description
AgileEngine is an Inc. 5000 company that creates award‑winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people‑first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
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.
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 infrastructure, 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 AND BENEFITS
- Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation : USD-based pay with education, fitness, and team activity budgets.
- Exciting projects : Modern solutions with Fortune 500 and top product companies.
- Flextime : Flexible schedule with remote and office options.
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