DevOps Engineer ID95927
AgileEngine
- Location
- Onsite (ROSARIO, Santa Fe)
- Employment
- Full-time
- Level
- Mid Level
Posted 4 days ago
About the role
AgileEngine is an Inc. 5000 software consultancy seeking a DevOps Engineer to build and manage cloud infrastructure, CI/CD pipelines, and observability stacks for Data and AI teams. The role focuses on ensuring reliability, security, and compliance in a PCI-regulated environment.
Skills
DevOps
SRE
CI/CD
Terraform
Kubernetes
Python
Bash
Go
SQL
AWS
Azure
GCP
Observability
Prometheus
Grafana
PCI compliance
Perks
- Mentorship
- TechTalks
- Personalized growth roadmaps
- USD-based pay
- Education budget
- Fitness budget
- Team activity budget
- Flexible schedule
- Remote work options
Full job details
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.
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.
- AWS / Azure / GCP Professional, CKA / CKAD, or HashiCorp Terraform certification.
- 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.