DevOps Engineer - Cloud Infrastructure

4 - 8 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a DevOps Engineer with 4-6 years of experience, you will be responsible for managing scalable cloud infrastructure, optimizing CI/CD pipelines, and ensuring high system reliability in a fast-paced fintech environment based in Gujarat (GIFT City). Your role will encompass full ownership of DevOps processes, from infrastructure automation to production monitoring. Your key responsibilities will include designing and managing cloud infrastructure using tools like AWS, Terraform, or CloudFormation, as well as building, maintaining, and optimizing CI/CD pipelines with tools like Jenkins, GitLab CI/CD, or GitHub Actions. You will deploy and manage containerized applications using Docker and Kubernetes, implement and maintain system monitoring solutions (Prometheus, Grafana, CloudWatch) for high availability, and ensure security best practices and compliance with industry standards (e.g., SOC2, GDPR). Collaboration with cross-functional teams to troubleshoot and enhance system performance, as well as mentoring junior engineers to foster a DevOps culture, will be essential in this role. Required skills and qualifications include extensive experience with cloud platforms such as AWS, Azure, or GCP, proficiency in IaC tools like Terraform, CloudFormation, or Ansible, and hands-on expertise in building CI/CD pipelines with tools like Jenkins, GitLab, or similar. Strong experience with Docker and Kubernetes (EKS/GKE), managing production systems for high availability, resolving critical incidents, and knowledge of monitoring tools like Prometheus, Grafana, and Datadog are also essential. Familiarity with security protocols and compliance (IAM, encryption, VPC isolation) is required. Preferred skills include experience with distributed systems and message queues (Kafka, RabbitMQ), familiarity with cost optimization strategies in cloud environments, and knowledge of disaster recovery and scaling in production environments.,

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