DevOps Engineer ID95927

AgileEngine, LLC.; San Carlos de Bariloche; Hybrid; ARS 136,310,000 - 196,892,000; Full time

Benefits offered by this job

Professional growth

USD-based pay

Exciting projects

Flextime

Job summary

AgileEngine, LLC. is seeking a DevOps Engineer to design and run scalable cloud infrastructure, CI/CD pipelines, and observability for Data & AI teams in a PCI-compliant environment. The role emphasizes collaboration with developers and strong automation across multi-cloud platforms.

You will manage Kubernetes clusters, implement security practices, and drive reliability through incident response and on-call rotations while engaging with global teams across time zones.

Qualifications

• 4+ years of professional DevOps, SRE, or platform-engineering experience operating production services.
• 3+ years building CI/CD pipelines and managing infrastructure as code.
• Strong scripting skills in Python, Bash, or Go; solid SQL and cloud platform experience (AWS/Azure/GCP).
• Experience with observability stacks: Prometheus/Grafana/OpenTelemetry/ELK/Datadog.
• Understanding of cloud security/compliance in PCI or regulated environments.
• Ability to work independently and with teams across time zones, including on-call rotations.
• Excellent written and verbal communication with technical and non-technical stakeholders.

Responsibilities

• Build and run cloud infrastructure as code for AWS, Azure, or GCP.
• Own CI/CD pipelines and automated deployments with security scanning and canaries.
• Operate Kubernetes clusters (EKS/AKS/GKE) with ArgoCD/Flux and Helm.
• Develop observability with Prometheus, Grafana, OpenTelemetry, ELK, or Datadog.
• Implement security controls including IAM, secrets management, and policy-as-code.
• Lead incident response with blameless post-mortems and reliability improvements.
• Collaborate with developers and data/AI teams across environments.

Skills

DevOps experience

CI/CD pipelines

Scripting languages

Communication skills

Independence & teamwork

Strategy & roadmap

Education

Bachelor's degree or equivalent

Tools

Kubernetes (EKS/AKS/GKE)

Docker

Helm

ArgoCD/Flux

Terraform/Pulumi/CloudFormation

GitHub Actions/Jenkins/GitLab CI/CircleCI

Prometheus/Grafana/OpenTelemetry/ELK/Datadog

New Relic

Istio/Linkerd

OPA/Checkov/tfsec

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.