Senior Devops Engineer – Remote Cloud & Ci/Cd Expert

Werben Hr; Ciudad de Mendoza; Remote; ARS 122,988,000 - 184,482,000; Full time

Job summary

AgileEngine is seeking a Senior DevOps Engineer to design, deploy, and manage scalable AWS infrastructure for mission-critical systems. You will own containerized workloads, Terraform modules, and CI/CD pipelines, while optimizing costs and ensuring security across multi-account environments.

The role requires deep expertise in ECS/Fargate, Kafka, EMR, Airflow, and observability tooling. You will contribute to runbooks, documentation, and cross-team collaboration in a fast-paced setting.

Qualifications

• 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.

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.

Skills

DevOps

SRE

Platform Engineering

AWS

Terraform

Docker

CI/CD

Python scripting

Security

Tools

Jenkins

Groovy

Terraform

Docker

ECS/Fargate

Kafka (MSK)

Airflow

Prometheus

Grafana

OpenSearch

Job description

Senior DevOps Engineer

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.

Requirements

• 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.

About the Company

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.

Why Join Us

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