DevOps Engineer ID95927

AgileEngine, LLC.; Recife; Híbrido; BRL 458.000 - 611.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

Exciting projects

Flextime

Descripción de la vacante

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. You will steer the roadmap, own CI/CD pipelines, and manage Kubernetes clusters across multi-cloud setups.

The role emphasizes independent work, strong collaboration, and on-call rotations in a dynamic, people-first culture that supports growth and impact.

Formación

• 4+ years in DevOps/SRE/platform engineering operating production services.
• 3+ years building CI/CD pipelines and IaC tooling (Terraform, Pulumi, CloudFormation).
• Experience with Kubernetes and container tooling (Docker, Helm, ArgoCD, Flux).
• Strong scripting in Python/Bash/Go; solid SQL; proficient with at least one cloud platform (AWS, Azure, GCP).
• Hands-on with observability stacks: New Relic, Prometheus, Grafana, OpenTelemetry, ELK, Datadog.
• Understanding of cloud security and PCI-compliant environments.
• Ability to work independently and in teams; on-call rotations.
• Excellent written and verbal communication.

Responsabilidades

• Strategy, Roadmap & Vision – build DevOps/observability roadmap for Data & AI teams.
• Design cloud infrastructure as code with Terraform/Pulumi/CloudFormation for AWS/Azure/GCP.
• Own CI/CD pipelines in GitHub Actions, Jenkins, or GitLab CI with automated deployment and rollback.
• Operate Kubernetes clusters (EKS/AKS/GKE) and container workloads using ArgoCD/Flux.
• Build observability with Prometheus, Grafana, OpenTelemetry, ELK, Datadog; create dashboards and SLO alerts.
• Implement security and compliance controls: IAM, SSO, vault secrets, vulnerability scanning, policy-as-code.
• Lead incident response and blameless post-mortems to reduce MTTR and toil.
• Collaborate with developers on internal platform tooling and self-service.

Conocimientos

DevOps

SRE

CI/CD pipelines

IaC

Kubernetes

Cloud platforms

Scripting: Python

Observability tools

PCI compliance

On-call rotations

Communication

Herramientas

Terraform

Pulumi

CloudFormation

GitHub Actions

Jenkins

GitLab CI

CircleCI

Docker

Helm

ArgoCD

Flux

New Relic

Prometheus

Grafana

OpenTelemetry

ELK

Datadog

Descripción del empleo

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.

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 LENSE, 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.