DevOps Engineer ID95927

AgileEngine, LLC.; Porto Alegre; Hybrid; BRL 611,000 - 916,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Exciting projects with Fortune 500/top

Flextime: remote and office options

Job summary

AgileEngine, LLC. 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 demands 4+ years in DevOps/SRE, extensive CI/CD, and hands-on cloud experience.

You will manage Kubernetes clusters, implement security controls, and drive reliability across multiple time zones, including on-call rotations. Remote-friendly with flex options.

Qualifications

• 4+ years of professional DevOps, SRE, or platform-engineering experience operating production services.
• 3+ years of hands-on experience building CI/CD pipelines and managing infrastructure as code.
• Working knowledge of Kubernetes and container tooling (Docker, Helm, ArgoCD, or Flux).
• Strong scripting in Python, Bash, or Go; solid SQL skills; experience with at least one cloud platform (AWS, Azure, or GCP).
• Hands-on experience with observability stacks (New Relic, Prometheus, Grafana, OpenTelemetry, ELK, or Datadog).
• Understanding of cloud security and compliance, especially PCI-aware environments.
• Ability to work independently and with teams across time zones, including on-call rotations.
• Strong written and verbal communication for technical and non-technical stakeholders.

Responsibilities

• Strategy and roadmap for DevOps and observability in Data & AI teams.
• Design and build cloud infrastructure as code with Terraform / Pulumi / CloudFormation for AWS, Azure, or GCP.
• Own CI/CD pipelines in GitHub Actions, Jenkins, or GitLab CI with automated testing, security scans, and deployment strategies.
• Operate Kubernetes clusters and container workloads with Helm, ArgoCD, or Flux, including autoscaling and secrets management.
• Build observability with Prometheus, Grafana, OpenTelemetry, ELK, or Datadog; implement SLO-driven alerting.
• Implement security and compliance controls: IAM/SSO, secrets management, vulnerability scanning, policy-as-code, PCI-aware patterns.
• Lead incident response: on-call, runbooks, blameless post-mortems, and reliability improvements to reduce toil.
• Collaborate with developers on dev experience, internal tooling, and self-service platforms.

Tools

Terraform

Pulumi

CloudFormation

GitHub Actions

Jenkins

GitLab CI

CircleCI

Kubernetes

Docker

Helm

ArgoCD

Flux

Python

Bash

Go

SQL

AWS

Azure

GCP

New Relic

Prometheus

Grafana

OpenTelemetry

ELK

Datadog

Policy as Code (OPA)

PCI Compliance

Job description

Porto Alegre, Brazil

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.