Senior Devops Engineer — Cloud Platform & Ci/Cd Expert

Pearster; Ciudad de Mendoza; On-site; ARS 139,364,000 - 201,304,000; Full time

Job summary

Pearster seeks a Senior DevOps Engineer to design, deploy, and manage scalable AWS infrastructure with ECS/Fargate, Terraform, and Jenkins. You will run data streaming platforms (Kafka/MSK), optimize costs, and enforce security across multi-environment deployments.

You’ll collaborate on CI/CD and automation, delivering robust, observable production systems. You will shape infrastructure as code, mentor teams, and write runbooks, while pushing for operational excellence and rapid incident

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 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

Problem-solving

Independent work

Proactive communication

Data-driven decision-making

Tools

Terraform

Jenkins

Docker

AWS ECS/Fargate

Kafka (MSK)

EMR

Airflow

Prometheus

Grafana

Python (boto3)

Bash

AWS Lambda

Git

Jira

Confluence

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.

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.