Azure Devops Engineer: Docker, Kubernetes, Ci/Cd | Remote

Werben Hr; Quilmes; Hybrid; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

Mentorship

Education budget

USD-based pay

Flexible schedule

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 work across time zones, maintaining on-call rotations and delivering reliable, secure platforms.

Responsibilities include designing infrastructure as code, owning CI/CD pipelines, operating Kubernetes clusters, building end-to-end observability, and collaborating with cross-functional teams.

Qualifications

• 4+ years of professional DevOps/SRE experience operating production services.
• 3+ years building CI/CD pipelines and infrastructure as code (Terraform, Pulumi, CloudFormation).
• Hands-on Kubernetes (EKS/AKS/GKE) and Docker tooling (Docker, Helm, ArgoCD, Flux).
• Strong Python/Bash/Go scripting; SQL; experience with AWS/Azure/GCP.
• Experience with observability stacks: New Relic, Prometheus, Grafana, OpenTelemetry, ELK, Datadog.
• Cloud security and PCI-compliant environments knowledge.
• Independent and team collaboration across time zones, including on-call rotations.
• Excellent written and verbal communication; able to collaborate with technical and non-technical stakeholders.
• Upper-intermediate English.

Responsibilities

• Strategy, Roadmap & Vision – build the roadmap for DevOps and observability for Data & AI teams.
• Design and build cloud infrastructure as code with Terraform / Pulumi / CloudFormation for AWS/Azure/GCP.
• Own CI/CD pipelines – GitHub Actions, Jenkins, GitLab CI with tests, security scans, blue/green or canary deploys, automated rollback.
• Operate Kubernetes clusters and container workloads with Helm/ArgoCD/Flux, including autoscaling and secrets.
• Build observability with Prometheus, Grafana, OpenTelemetry, ELK, Datadog and SLO-driven alerting.
• Implement security and PCI-aware patterns: IAM, SSO, Vault/KMS, vulnerability scanning, policy-as-code.
• Lead incident response and on-call runbooks for reliable ops and reduced toil.
• Collaborate with developers to improve local dev experience and self-service tooling.
• Shape internal platform standards as the stack evolves across global teams.
• Partner with engineers and product teams across environments to maintain cohesive DevOps practices.

Skills

DevOps experience

CI/CD pipelines

Infrastructure as code

Kubernetes

Container tooling

Python scripting

SQL

Cloud platforms (AWS/Azure/GCP)

Observability

Cloud security

PCI compliance

On-call experience

Communication

English proficiency

Tools

Prometheus

Grafana

OpenTelemetry

Datadog

ELK

New Relic

ArgoCD

Helm

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.
• 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.