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 idóneo 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.

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).

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📌 Senior Aws Devops Engineer — Scale, Security (Buenos Aires)
🏢 Flux It
📍 Buenos Aires