DevOps Engineer ID95927

AgileEngine, LLC.

Florianópolis

Hybrid

BRL 611.000 - 814.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Professional growth
Competitive USD pay
Exciting projects
Flextime

Zusammenfassung

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.

Responsibilities include designing IaC, owning CI/CD pipelines, operating Kubernetes clusters, and building robust monitoring with Prometheus, Grafana, and OpenTelemetry. Strong scripting and cloud experience are required.

Qualifikationen

  • 4+ years of professional DevOps, SRE, or platform-engineering experience operating production services.
  • 3+ years building CI/CD pipelines and 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 and cloud platform experience (AWS/Azure/GCP).
  • Hands-on observability with stacks like Prometheus, Grafana, OpenTelemetry, ELK, or Datadog.
  • Understanding of cloud security and PCI-compliant environments; independent and team collaboration.
  • Excellent written and verbal communication; capable of cross-stakeholder collaboration.

Aufgaben

  • Strategy, Roadmap & Vision – define DevOps and observability roadmap for Data & AI pods.
  • Design and build cloud infra as code for AWS, Azure, or GCP; create reusable modules.
  • Own CI/CD pipelines with GitHub Actions, Jenkins, or GitLab CI; implement blue/green or canary deployments.
  • Operate Kubernetes clusters (EKS/AKS/GKE) with Helm, ArgoCD, or Flux; manage autoscaling and secrets.
  • Build observability with Prometheus, Grafana, OpenTelemetry, ELK, or Datadog; alerting and dashboards.
  • Enforce security/compliance controls: IAM, SSO, secret mgmt, vulnerability scanning, policy-as-code.
  • Lead incident response, runbooks, post-mortems; reduce MTTR and toil.
  • Collaborate with developers on local dev experience and internal platform tooling.
  • Contribute to internal platform standards; share knowledge across India and U.S. teams.
  • Join a collaborative DevOps environment with developers, AI engineers, QA, DBAs, and product partners.

Kenntnisse

DevOps
SRE
CI/CD pipelines
Terraform
Pulumi
CloudFormation
Kubernetes
Docker
Python
SQL
AWS
Azure
GCP
OpenTelemetry
Prometheus
Grafana
Datadog
PCI compliance
Communication

Tools

GitHub Actions
Jenkins
GitLab CI
CircleCI
ArgoCD
Flux
Kubernetes tools
Helm
Terraform modules
Pulumi modules

Jobbeschreibung

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.
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