Senior Devops Engineer - Remote Cloud & Kubernetes

Encora Inc.; Rosario; Hybrid; ARS 139,086,000 - 231,811,000; Full time

Benefits offered by this job

Professional growth

USD‑based pay

Flexible schedule

Fortune 500 projects

Job summary

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

You will design IaC, manage CI/CD pipelines, and operate Kubernetes clusters with robust monitoring and security practices, collaborating across time zones and stakeholder groups.

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.
• Kubernetes experience and container tooling (Docker, Helm, ArgoCD, Flux).
• Strong scripting in Python, Bash, or Go; proficient with at least one cloud platform (AWS/Azure/GCP).
• Observability stacks: Prometheus, Grafana, OpenTelemetry, ELK, or Datadog.
• Cloud security & PCI-compliant or regulated environments knowledge.
• Ability to work independently and with teams across time zones, including on-call rotations.
• Excellent written and verbal English communication.
• Certifications: AWS/Azure/GCP Professional, CKAD/CKA, or Terraform.

Responsibilities

• Strategy, roadmaps, and vision for DevOps and observability in Data & AI teams.
• Design and build cloud infrastructure as code with Terraform/Pulumi/CloudFormation for AWS/Azure/GCP.
• Own CI/CD pipelines with GitHub Actions, Jenkins, or GitLab CI—secure, blue/green or canary deployments, automated rollback.
• Operate Kubernetes clusters (EKS/AKS/GKE) with Helm/ArgoCD/Flux, including autoscaling, ingress, secrets, and policy.
• Build observability with Prometheus, Grafana, OpenTelemetry, ELK, or Datadog—metrics, logs, traces, dashboards, SLO-driven alerts.
• Implement security/compliance controls: IAM, SSO, secrets management, vulnerability scanning, policy-as-code (OPA/Checkov).
• Lead incident response: on-call, runbooks, blameless postmortems, reliability improvements.
• Collaborate with developers on dev experience and internal platform tooling.
• Shape internal platform standards and share knowledge with global teams.
• Participate in a collaborative DevOps environment across environments.

Skills

DevOps / SRE experience

CI/CD pipelines

Cloud platforms (AWS/Azure/GCP)

Scripting (Python/Bash/Go)

Observability stacks (Prometheus/Graf/

Tools

Kubernetes (EKS/AKS/GKE)

Docker

Helm

ArgoCD

Flux

Terraform

Pulumi / CloudFormation

CI tools (GitHub Actions/Jenkins/GitLab CI/CircleCI)

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.