Senior Devops Engineer: Kubernetes & Cloud (Hybrid)

David Rochwarger; Buenos Aires; Hybrid; ARS 153,735,000 - 276,723,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

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 own infrastructure as code, manage CI/CD pipelines, and operate Kubernetes clusters with tools like ArgoCD and Flux.

Join a people‑first culture with flexible remote/office options, collaborating with engineers, data scientists, and QA across time zones. Strong security, compliance, and reliability focus are expected.

Qualifications

• 4+ years of professional DevOps, SRE, or platform-engineering experience operating production services.
• 3+ years hands-on experience building CI/CD pipelines and managing infrastructure as code.
• Kubernetes (EKS/AKS/GKE) and container tooling (Docker, Helm, ArgoCD, Flux).
• Scripting in Python, Bash, or Go; solid SQL; at least one cloud platform (AWS/Azure/GCP).
• Observability stacks: New Relic, Prometheus, Grafana, OpenTelemetry, ELK, or Datadog.
• Cloud security and PCI‑compliant or regulated environments.
• Strong communication and ability to work with diverse stakeholders.

Responsibilities

• Strategy, Roadmap & Vision for DevOps and observability in Data & AI teams.
• Design and build cloud infrastructure as code (Terraform/Pulumi/CloudFormation).
• Own CI/CD pipelines — build, test, security scan, blue‑green or canary deploys, automated rollback.
• Operate Kubernetes clusters and container workloads with Helm, ArgoCD, or Flux.
• Build observability with Prometheus, Grafana, OpenTelemetry, ELK, Datadog; manage alerts & SLAs.
• Implement security controls: IAM, SSO, secrets management, vulnerability scanning, policy-as-code.
• Lead incident response with on‑call rotations and post‑mortems; reduce toil.
• Collaborate with developers on dev experience and self‑service platforms.

Skills

DevOps experience

CI/CD pipelines

Kubernetes

Cloud platforms

Scripting (Python/Bash/Go)

Observability tools

PCI/compliance

Communication

Tools

Terraform

Pulumi

CloudFormation

GitHub Actions

Jenkins

GitLab CI

CircleCI

Docker

Helm

ArgoCD

Flux

Prometheus

Grafana

OpenTelemetry

ELK

Datadog

Istio

Linkerd

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.