Senior Aws Devops Engineer - Remote (Global)

Fullstack; Quilmes; Híbrido; ARS 185.819.000 - 278.728.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

USD-based compensation

Modern projects

Flexible schedule

Descripción de la vacante

AgileEngine in Argentina seeks a Senior DevOps Engineer to design, deploy, and optimize scalable, secure AWS infrastructure and data pipelines for 24/7 operations. You will manage ECS/Fargate workloads, Terraform modules, and Jenkins-based CI/CD, while improving observability and cost efficiency.

The role requires deep AWS experience, Kubernetes/EKS proficiency, and strong scripting in Python or Bash. Hybrid remote/office setup available with LatAm service hours.

Formación

• 5+ years in Cloud Eng/DevOps or SRE/Platform Engineering.
• Hands-on experience operating AWS infrastructure in production.
• Advanced experience with Kubernetes and Amazon EKS.
• Experience with Terraform and reusable modules, multi-environment deployments.

Responsabilidades

• Design, deploy, and maintain scalable, secure, highly available AWS infrastructure.
• Manage containerized workloads using ECS/Fargate and autoscaling.
• Develop and maintain Terraform modules and Jenkins/Groovy CI/CD pipelines.
• Operate and optimize streaming platforms and data infrastructure.
• Implement monitoring, logging, alerting, and incident resolution.
• Optimize AWS costs and enforce security and reliability controls.
• Automate operations with Python, Bash, and AWS Lambda.
• Lead incidents, perform root-cause analysis, and drive improvements.
• Create runbooks and documentation for support teams.
• Collaborate with Data Eng, Security, Governance, Analytics, and stakeholders.

Conocimientos

AWS

Infrastructure as Code

CI/CD

Python

SRE

Automation

Kubernetes

English communication

Herramientas

Terraform

Jenkins

ECS/Fargate

Docker

EKS

Prometheus

Grafana

OpenSearch

Airflow

Kafka (MSK)

EMR

CloudWatch

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.

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

5+ years of professional experience in Cloud Engineering, DevOps or Site Reliability Engineering. Strong hands-on experience operating AWS infrastructure in production environments. Advanced experience with Kubernetes and Amazon EKS, including workload operations, troubleshooting, access, observability, capacity, and reliability. Hands-on experience administering and troubleshooting Argo Workflows or comparable workflow orchestration platforms. Strong Infrastructure as Code experience with Terraform and source-controlled infrastructure practices. Experience building, hardening, and supporting CI/CD pipelines and production release processes. Strong experience with monitoring, logging, alerting, and incident-routing tools such as Splunk, PagerDuty, Opsgenie, or comparable platforms. Demonstrated ability to lead complex incident resolution, perform root-cause analysis, and translate findings into preventive improvements. Proficiency in automation and scripting using Python, Shell, Bash, or similar languages. Ability to make well-reasoned technical decisions, identify tradeoffs, estimate work, and drive improvements across a complex platform. Experience mentoring engineers and collaborating effectively with Data Engineering, Security, Governance, Analytics, and business stakeholders. Strong written and verbal English communication skills, with the ability to work directly with client stakeholders. Availability to work within the LatAm service window of approximately 9:00 AM to 6:00 PM Eastern Time and participate in an agreed on-call rotation.

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.

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!