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 and waste reduction.
- 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.

Requirements

- 5+ years of experience in Cloud Engineering, DevOps, or Site Reliability Engineering, advanced hands-on experience with AWS EKS and Kubernetes, experience administering and troubleshooting Argo Workflows, and strong English communication skills.
- Strong hands-on experience operating AWS infrastructure in production environments.
- Advanced experience with Kubernetes and Amazon EKS, including workload operations, troubleshooting, access, observability, capacity, and reliability.
- Hands-on experience administering and troubleshooting Argo Workflows or comparable workflow orchestration platforms.
- Strong Infrastructure as Code experience with Terraform and source‑controlled infrastructure practices.
- Experience building, hardening, and supporting CI/CD pipelines and production release processes.
- Strong experience with monitoring, logging, alerting, and incident‑routing tools such as Splunk, PagerDuty, Opsgenie, or comparable platforms.
- Demonstrated ability to lead complex incident resolution, perform root‑cause analysis, and translate findings into preventive improvements.
- Proficiency in automation and scripting using Python, Shell, Bash, or similar languages.
- Ability to make well‑reasoned technical decisions, identify trade‑offs, estimate work, and drive improvements across a complex platform.

Perks and Benefits

- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD‑based pay with education, fitness, and team ac

📌 Senior Devops Engineer (Quilmes)
🏢 Agentic Dream
📍 Quilmes