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1965 Senior DevOps Engineer (AWS)

Softgic


Job Location:

Buenos Aires - Argentina

Monthly Salary: ARS 4200 - 4200
Experience Required: 4-5years
Posted: 24 October 2026 (7 hours ago)
Application Deadline: 21 January 2027
Vacancies: 1 Vacancy

Job Summary

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.



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.




Required Skills:

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.


Required Education:

Profesional en Ingeniería de Sitemas Informática Datos Ciencia de Datos Estadística Ingeniería Industrial Administración o carreras afines.