Description

You will own the reliability and deployment of scalable microservices architectures across AWS, Azure, and GCP. Your focus is on driving zero-downtime releases through continuous delivery while optimizing containerized Unix ecosystems.

Responsibilities

• Manage and optimize containerized environments using Docker, Kubernetes, EKS, and Fargate/ECS.
• Design and maintain predictive monitoring and alerting systems to resolve issues before they impact customers.
• Drive zero-downtime deployment processes through continuous delivery practices and self-service tools.
• Troubleshoot large-scale production issues across distributed systems using JVM management and network analysis.
• Lead operational maturity initiatives by improving deployment pipelines and system reliability.

Required Skills

• 5+ years of hands-on DevOps engineering experience in modern cloud and containerized environments.
• Strong proficiency in Python scripting for automation and tooling.
• Deep experience with cloud infrastructure across AWS, GCP, or Azure.
• Expertise in managing container ecosystems including Docker, Kubernetes, EKS, and Fargate/ECS.
• Proven ability to design monitoring systems using tools like Prometheus, Grafana, CloudWatch, Splunk, or Datadog.
• Ability to troubleshoot large-scale production issues in distributed systems.
• Experience with core technologies such as Java, Scala, and Gradle.
• Knowledge of NoSQL, CDN technologies, and network analysis tools.

Preferred Skills

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related technical field.

Key Skills

Education

Any Graduate