Senior Devops Engineer — Aws (Quilmes)

Senior Devops Engineer — Aws (Quilmes)

01 nov
|
BairesDev
|
Quilmes

01 nov

BairesDev

Quilmes

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.

Job Description

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

Requisitos

- 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 control

📌 Senior Devops Engineer — Aws (Quilmes)
🏢 BairesDev
📍 Quilmes

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