DevOps Engineer

AgileEngine, LLC.; Brazil; On-site; BRL 120,000 - 180,000; Full time

Job summary

AgileEngine, LLC. seeks a DevOps Engineer to build and operate cloud infrastructure, CI/CD, and observability for Data & AI teams in a PCI-compliant environment.

You will own pipelines, manage Kubernetes clusters, implement security controls, and collaborate with developers across time zones. Strong communication and on-call readiness are essential.

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 (Terraform, Pulumi, or CloudFormation).
• Working knowledge of Kubernetes and container tooling (Docker, Helm, ArgoCD, Flux).
• Strong scripting in Python, Bash, or Go; solid SQL skills and cloud platform experience (AWS/Azure/GCP).
• Hands-on experience with observability stacks (Prometheus, Grafana, OpenTelemetry, Datadog, ELK).
• Understanding of cloud security and PCI-compliant or regulated environments.
• Ability to work independently and in teams across time zones, including on-call rotations.
• Strong written and verbal communication with technical and non-technical stakeholders.

Responsibilities

• Strategy, Roadmap & Vision – build the DevOps/observability roadmap for Data & AI teams.
• Design and build cloud infrastructure as code for AWS/Azure/GCP with Terraform/Pulumi/CFN.
• Own CI/CD pipelines in GitHub Actions, Jenkins, or GitLab CI with automation and safe rollouts.
• Operate Kubernetes clusters (EKS/AKS/GKE) and container workloads with ArgoCD/Flux.
• Build observability with Prometheus, Grafana, OpenTelemetry, ELK, or Datadog.
• Implement security and compliance controls: IAM/SSO, secret management, vulnerability scanning, policy-as-code.
• Lead incident response activities and drive reliability improvements across time zones.
• Collaborate with developers on local dev experience and internal platform tooling.
• Help shape internal platform standards and share knowledge across teams in different locations.
• Participate in a collaborative DevOps environment with developers, AI engineers, QA, DBAs, and product partners.

Skills

SQL

CI/CD

Kubernetes

Terraform

Pulumi

CloudFormation

Python

Bash

Go

AWS

Azure

GCP

On-call rotations

GitHub Actions

Jenkins

GitLab CI

CircleCI

Docker

Helm

ArgoCD

Flux

Prometheus

Grafana

OpenTelemetry

Datadog

OPA/Checkov

Vault/KMS

Tools

Terraform

Pulumi

CloudFormation

Kubernetes

Docker

Helm

ArgoCD

Flux

GitHub Actions

Jenkins

GitLab CI

CircleCI

Prometheus

Grafana

OpenTelemetry

ELK

Datadog

OPA/Checkov

Vault/KMS

Job description

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.

The mandatory requirements are solid SQL skills, experience with PCI-DSS and compliance in regulated environments, 4+ years of DevOps, SRE, or platform engineering experience, CI/CD pipelines, Terraform or similar infrastructure-as-code, Kubernetes, AWS, Azure, or GCP, Python, Bash, or Go scripting, availability for on-call rotations, and strong English communication skills.

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.

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.
• Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
• Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
• Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
• Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
• Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
• Well-being & support: access local well-being programs and people-focused support tailored to your location