Senior Aws Devops Engineer – Eks/Terraform | Remote Latam

Fullstack Labs, Inc.; Buenos Aires; Híbrido; ARS 138.361.000 - 230.602.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth programs

USD-based compensation with education/

Office flexibility and flextime

Descripción de la vacante

AgileEngine is seeking a Senior DevOps Engineer to design, deploy, and maintain scalable AWS infrastructure across multiple accounts. You will build reusable Terraform modules, manage containerized workloads with ECS/Fargate, and drive CI/CD with Jenkins/Groovy while ensuring security, observability, and cost efficiency.

The role requires 5+ years in DevOps/SRE, experience with streaming/data tech (Kafka/Aerospike), and strong automation with Python/Bash.

Formación

• 5+ years in DevOps, SRE, or Platform Engineering for 24/7 production environments.
• Proficient in AWS services and infrastructure as code using Terraform.
• Experience with containerization and ECS/Fargate, and CI/CD pipelines.
• Strong knowledge of monitoring, observability, and incident response.

Responsabilidades

• Design, deploy, and maintain scalable, secure AWS infrastructure.
• Manage containerized workloads and autoscaling.
• Develop reusable Terraform modules and CI/CD pipelines.
• Operate streaming/data infrastructure and distributed systems.
• Implement monitoring, logging, and alerting; optimize costs.
• Automate operations with Python/Bash and AWS Lambda.
• Strengthen security and CI/CD controls; own end-to-end projects.
• Create runbooks and technical docs for support teams.

Conocimientos

Problem solving

Independent work

Data-driven decisions

Proactive communication

Python scripting

Bash scripting

Cloud native development

Herramientas

AWS (EC2, ECS/Fargate, ALB/NLB)

Terraform

Docker & ECS

Jenkins / Groovy / CI/CD

Kafka / AWS MSK

EMR / EMR Serverless / Airflow

Prometheus / Grafana / OpenSearch

CloudWatch / Logging / SIEM basics

Git / Jira / Confluence

Descripción del empleo

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.

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

• 5+ years in DevOps, SRE, or Platform Engineering, supporting 24/7 production environments.
• ECS/Fargate, ALB/NLB, Auto Scaling, VPC, Transit Gateway, Route 53, ACM, CloudFront, IAM, KMS, Secrets Manager, SSM, and CloudTrail across multiple AWS accounts.
• Advanced Terraform expertise, including reusable versioned modules, S3 remote state, version pinning, and multi‑environment deployments (Dev, QA, Integration, Prod).
• Docker, Dockerfiles, ECR image management, base images, and ECS task definitions.
• Jenkins, Groovy, Jenkinsfiles, shared libraries, Java/Maven builds, and Shift‑Left security practices.
• Production experience with Kafka (AWS MSK), Aerospike, and Multi‑AZ architectures. Experience with EMR/EMR Serverless, Flink, Airflow, Athena, and S3 Tables.
• Prometheus, Grafana, Graphite, CloudWatch, Fluent Bit, Logstash, OpenSearch, Slack, and SNS alerting.
• Strong Python (boto3), Bash scripting, and AWS Lambda.
• Vulnerability management, system patching, credential protection, API key security, and least‑privilege access.
• 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.

PERKS AND BENEFITS

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD‑based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.

WHY JOIN US

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.

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!