Remote Ai & Cloud Devops Architect — Platform Lead

Revstar; Rosario; Remote; ARS 92,724,000 - 169,994,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based 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. The role requires 4+ years in DevOps/SRE, hands-on CI/CD and IaC, Kubernetes, and cloud platforms.

Strong scripting, security awareness, and collaboration across time zones are essential. Join a people-first culture with opportunities to work on cutting-edge data projects for Fortune 500 brands and startups alike, with flexible

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.
• Experience with Kubernetes and container tooling.
• Strong scripting in Python, Bash, or Go; SQL and at least one cloud platform (AWS/Azure/GCP).
• Hands-on with observability stacks (New Relic, Prometheus, Grafana, OpenTelemetry, ELK, or Datadog).
• Solid understanding of cloud security and PCI-compliant environments.
• Able to work independently and with teams; on-call rotations across time zones.
• Strong written and verbal communication; upper-intermediate English.
• Cloud certifications (AWS/Azure/GCP) and Terraform/Credentials.

Responsibilities

• Strategy, Roadmap & Vision – build the roadmap for DevOps and observability for Data & AI teams.
• Design and build cloud infrastructure as code with Terraform (or Pulumi / CloudFormation).
• Own CI/CD pipelines in GitHub Actions, Jenkins, or GitLab CI — builds, tests, security scanning, blue-green/canary deploys, automated rollback.
• Operate Kubernetes clusters (EKS/AKS/GKE) and containers with ArgoCD/Flux.
• Build observability with Prometheus, Grafana, OpenTelemetry, ELK, or Datadog.
• Implement security and compliance controls: IAM, SSO, secrets management, vulnerability scanning, policy-as-code, PCI-aware patterns.
• Lead incident response – on-call, runbooks, post-mortems, reliability work to reduce toil.
• Partner with developers on dev experience and internal tooling.
• Shape internal platform standards and share knowledge across teams.
• Collaborate with developers, AI engineers, QA, DBAs, and product partners across environments.

Skills

DevOps / SRE experience

CI/CD pipelines

Kubernetes

Cloud platforms (AWS/Azure/GCP)

Scripting (Python/Bash/Go)

Observability stacks

PCI/compliance knowledge

Communication skills

English (upper-intermediate)

Tools

GitHub Actions

Jenkins

GitLab CI

CircleCI

Terraform

Pulumi

CloudFormation

Kubernetes

ArgoCD

Flux

Prometheus

Grafana

OpenTelemetry

New Relic

Datadog

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.
• AWS / Azure / GCP Professional, CKA / CKAD, or HashiCorp Terraform certification.

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.