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.
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 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
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.
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📌 Senior Devops Engineer - 100% Remote (Aws/Eks) (Buenos Aires)
🏢 Flux It
📍 Buenos Aires