Senior Devops/Sre Engineer Remote, Cloud & Automation Expert

BairesDev; Rosario; Hybrid; ARS 138,361,000 - 184,482,000; Full time

Benefits offered by this job

Professional growth

Competitive USD pay with education, &y

Exciting projects

Flextime: remote and office options

Job summary

AgileEngine is seeking a DevOps Engineer to build and run cloud infrastructure, CI/CD, and observability for Data & AI teams in a PCI‑compliant environment.

You will own CI/CD pipelines, manage IaC, operate Kubernetes clusters, and implement robust observability. The role requires 4+ years in DevOps/SRE, cloud experience (AWS/Azure/GCP), and strong scripting skills. Hybrid work with on‑call rotations is offered.

Qualifications

• 4+ years of professional DevOps, SRE, or platform‑engineering experience operating production services.
• 3+ years building CI/CD pipelines and managing IaC with Terraform, Pulumi, or CloudFormation.
• Kubernetes experience (EKS/AKS/GKE) and container tooling (Docker, Helm, ArgoCD, Flux).
• Scripting in Python, Bash, or Go; SQL skills; exposure to AWS/Azure/GCP.
• Observability stacks (Prometheus, Grafana, OpenTelemetry, ELK, Datadog).
• Cloud security and PCI‑compliant or regulated environments knowledge.
• Strong communication and ability to work across time zones; on‑call capable.

Responsibilities

• Own strategy, roadmap and vision for DevOps and observability for Data & AI teams.
• Design and implement cloud infrastructure as code for AWS/Azure/GCP.
• Own CI/CD pipelines and automated deployments with security scanning.
• Operate Kubernetes clusters and manage pods, ingress, secrets, and policy.
• Build observability with metrics, logs, traces, dashboards and SLOs.
• Implement security controls: IAM, SSO, vaults, vulnerability scanning.
• Lead incident response with on‑call runbooks and blameless post‑mortems.
• Collaborate with developers for golden paths and self‑service tooling.

Skills

DevOps/SRE experience

CI/CD pipelines

Cloud platforms knowledge (AWS/Azure/G

Kubernetes & container tooling

Scripting (Python/Bash/Go)

Observability tooling (Prometheus/Graf

PCI compliance & security

Incident response & on‑call

Tools

GitHub Actions

Jenkins

GitLab CI

CircleCI

Terraform

Pulumi

CloudFormation

Kubernetes (EKS/AKS/GKE)

Docker

Helm

ArgoCD

Flux

New Relic

Prometheus

Grafana

OpenTelemetry

ELK/Datadog

OPA/Checkov

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.