Remote Aws Devops Engineer For Ai-Driven Cloud

Fullstack; Quilmes; Remote; ARS 3,000,000 - 5,400,000; Full time

Job summary

Fullstack is seeking a Senior DevOps Engineer to own scalable AWS infrastructure, automation, and data platforms. You will manage ECS/Fargate workloads, implement IaC with Terraform, and drive CI/CD pipelines using Jenkins.

Ideal candidates have 5+ years in DevOps/SRE, with strong Python scripting and security focus. This role sits in Argentina and emphasizes high availability, 24/7 production support, and cost efficiency.

Qualifications

• 5+ years in DevOps, SRE, or Platform Engineering for 24/7 production systems.
• Hands-on with AWS services and IaC tooling (Terraform).
• Containerized workloads using ECS/Fargate and Docker.
• Experience building and maintaining CI/CD pipelines (Jenkins).
• Kafka/MSK and data infra experience are highly desirable.

Responsibilities

• Design, deploy, and maintain scalable, secure AWS infrastructure.
• Operate containerized workloads with ECS/Fargate and autoscaling.
• Develop and maintain reusable Terraform modules and pipelines.
• Monitor, log, and alert to ensure reliability and root-cause analysis.
• Optimize costs and improve security posture across environments.
• Automate operational tasks using Python, Bash, and AWS Lambda.
• Own infrastructure projects end-to-end with clear documentation.
• Collaborate with teams via Pull Requests, Jira, and Confluence.
• Leverage AI tools to boost productivity while keeping code quality.
• Mentor junior engineers and promote best practices in DevOps.

Skills

AWS (EC2/ECS/Fargate wise)

Terraform

Docker

CI/CD (Jenkins)

Kafka (MSK)

ECS/Fargate

Monitoring (Prometheus)

Python (boto3)

Security (least privilege)

Git/Jira/Confluence

Bash

AWS Lambda

Cost optimization

Tools

Terraform modules

Jenkins

Git

Confluence

S3

OpenSearch

Airflow

EMR

KMS

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.

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.