We are looking for a Senior DevOps Engineer with strong expertise in AWS, infrastructure automation, CI/CD, and managing high-availability, high-throughput, low-latency production environments.

The adecuado candidate will ensure infrastructure scalability, reliability, security, and cost efficiency while supporting mission-critical systems operating 24/7.

Experience

- 5+ years in DevOps, SRE, or Platform Engineering, supporting 24/7 production environments.

Advanced AWS

- ECS/Fargate, ALB/NLB, Auto Scaling, VPC, Transit Gateway, Route 53, ACM, CloudFront, IAM, KMS, Secrets Manager, SSM, and CloudTrail across multiple AWS accounts.

Infrastructure as Code

- Advanced Terraform expertise, including reusable versioned modules, S3 remote state, version pinning, and multi-environment deployments (Dev, QA, Integration, Prod).

Containerization

- Docker, Dockerfiles, ECR image management, base images, and ECS task definitions.

CI/CD

- Jenkins, Groovy, Jenkinsfiles, shared libraries, Java/Maven builds, and Shift-Left security practices.

Streaming & Data Infrastructure

- Production experience with Kafka (AWS MSK), Aerospike, and Multi-AZ architectures. Experience with EMR/EMR Serverless, Flink, Airflow, Athena, and S3 Tables.

Monitoring & Observability

- Prometheus, Grafana, Graphite, CloudWatch, Fluent Bit, Logstash, OpenSearch, Slack, and SNS alerting.

Automation

- Strong Python (boto3), Bash scripting, and AWS Lambda.

Security

- Vulnerability management, system patching, credential protection, API key security, and least-privilege access.

Tools & Collaboration

- Git, Pull Requests, Jira, Confluence, and AI-powered development tools.





Strong problem‑solving skills, independent work capabilities, proactive communication, and data‑driven decision‑making.

Key Responsibilities

- Design, deploy, and maintain scalable, secure, highly available AWS infrastructure.
- Manage containerized workloads using ECS/Fargate, ALB/NLB, and autoscaling.
- Develop and maintain reusable Terraform modules and Jenkins/Groovy CI/CD pipelines.
- Operate and optimize streaming platforms, data infrastructure, and distributed systems.
- Implement monitoring, logging, alerting, and proactive incident resolution.
- Continuously optimize AWS costs through resource right‑sizing, waste reduction, and cost-conscious architecture decisions.
- Automate operational processes using Python, Bash, and AWS Lambda.
- Strengthen infrastructure security, vulnerability management, and CI/CD security controls.
- Own infrastructure projects end-to-end, from design and deployment to documentation and ongoing support.
- Create clear technical documentation and step‑by‑step runbooks for first‑level support teams.
- Manage infrastructure changes through reviewed Pull Requests using a single main branch.
- Use performance metrics, operational data, and cost analysis to guide technical decisions and advise leadership.




- Leverage AI tools to improve productivity while maintaining code quality and review standards.

Nice to Have

- Experience in AdTech or Real-Time Bidding (RTB) environments.
- AWS CloudFormation.
- Java development experience.

Company Overview

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, pa

📌 Remote Aws Devops (Buenos Aires)
🏢 Bluelight Consulting
📍 Buenos Aires