Saltar al contenido

Búsqueda

← Volver a las búsquedas
Resumen
Ver aviso original ↗

Softgic / Software

1965 - Senior DevOps Engineer (AWS)

nuevaDesde Argentina

  • Greater Buenos Aires
  • Tiempo completo
  • Modalidad no informada
  • Senior
  • 5+ años de experiencia

Requisitos

  • python
  • java
  • aws
  • docker
  • terraform
  • ci/cd
  • qa
  • inteligencia artificial
  • kafka
  • elasticsearch
  • git
  • linux
  • jenkins
  • airflow
  • gestión de proyectos
  • liderazgo
  • • 5+ años de experiencia
  • • inglés intermedio o más (el aviso está escrito en inglés)

La búsqueda

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.

Publicado en LinkedIn · vía Apify. Los datos de requisitos los extrae Maru del aviso: ante cualquier duda, manda el aviso original.

Ver aviso original ↗

Ingresá a Maru

para

El ingreso no está disponible en este momento. Probá en un rato.

Sin contraseña: entrás con tu cuenta de Google. Lo que armaste queda guardado mientras tanto.