Remote Senior Devops Engineer — Scalable Infra Expert

Bluelight; Quilmes; Hybrid; ARS 139,086,000 - 185,448,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation (USD-based)

Exciting projects with Fortune 500/Top

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 hands-on experience with Kubernetes, IaC, CI/CD pipelines, and strong scripting skills.

You will work across time zones, contribute to platform tooling, and own incident response. This hybrid role offers remote and office options with competitive USD-based compensation.

Qualifications

• 4+ years in DevOps, SRE or platform engineering operating production services.
• 3+ years building CI/CD pipelines and managing IaC.
• Working knowledge of Kubernetes and container tooling.
• Strong scripting in Python, Bash, or Go; solid SQL and cloud platform experience.
• Hands-on experience with observability stacks and PCI-compliant environments.
• Independent worker with ability to manage priorities across time zones and on-call rotations.
• Strong written and verbal communication with stakeholders.
• Upper-intermediate English level.

Responsibilities

• Strategize, roadmap, and vision for DevOps and observability for Data & AI teams.
• Design and build cloud infrastructure as code with Terraform/Pulumi/CloudFormation.
• Own CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI) with security scans and blue-green/canary deploys.
• Operate Kubernetes clusters and containers with Helm, ArgoCD, or Flux, including autoscaling and secrets.
• Build observability using Prometheus, Grafana, OpenTelemetry, ELK, or Datadog.
• Implement security and compliance controls: IAM, SSO, secrets, vulnerability scanning, policy-as-code.
• Lead incident response: on-call, runbooks, blameless post-mortems, reliability improvements.
• Collaborate with developers on local dev experience and self-service tooling.
• Shape internal platform standards and share knowledge across teams.
• Participate in a collaborative DevOps environment with cross-functional partners.

Skills

Cloud platforms (AWS/Azure/GCP)

Scripting (Python, Bash, Go)

CI/CD engineering

Kubernetes administration

Observability & monitoring

PCI compliance awareness

Communication & collaboration

On-call & incident response

Tools

Terraform

Pulumi

CloudFormation

GitHub Actions

Jenkins

GitLab CI

CircleCI

Docker

Kubernetes (EKS/AKS/GKE)

Helm

ArgoCD / Flux

OpenTelemetry / Prometheus / Grafana

New Relic / Datadog / ELK

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.