We are looking for a skilled and hands\-on DevOps Engineer to join our engineering team. You will be responsible for managing cloud infrastructure, orchestrating containerized deployments, maintaining CI/CD pipelines and ensuring the reliability and observability of our Java\-based microservices ecosystem.
\- Provision and manage AWS services including EC2, VPC, Security Groups, ELB, API Gateway, S3, SNS, SQS, RDS (Aurora), and DynamoDB
\- Configure and maintain AWS ElastiCache (Redis/Memcached) and manage secrets securely using AWS Secrets Manager
\- Manage MongoDB deployments including record lifecycle management, purging strategies, and performance tuning
\- Knowledge of DevOps Security Operations and Best Practices
\- Host and manage Java microservices in Kubernetes clusters running on EC2 with self\-scaling pods
\- Knowledge and usage of Docker Enterprise for deployment of Java microservices
\- Configure Kubernetes Secrets, ConfigMaps, resource limits and namespace management
\- Monitor and troubleshoot pod health by analyzing HTTPD logs and events
\- Lead and execute Kubernetes cluster migrations with minimal downtime
\- Build and maintain deployment pipelines for Java microservices using Helm charts, cloud config and YAML manifests
\- Manage versioned deployments using conventional commits and image tagging strategies
\- Deploy and administer Flowable Enterprise applications, including MongoDB\-backed record management and purging workflows
\- Deploy and manage MuleSoft applications, including admin control and role\-based access assignment for users
\- Configure roles, permissions, and group structures in GitLab Enterprise, self\-hosted open\-source GitLab, and Bitbucket
\- Enforce branching strategies, merge request policies and CI/CD integration within Git platforms
\- Use OpenLens for day\-to\-day Kubernetes cluster visibility and troubleshooting
\- Set up and manage monitoring dashboards and alerts using Grafana and Dynatrace
\- Proactively identify performance bottlenecks and infrastructure anomalies
\- Strong proficiency with AWS core services (EC2, RDS, Aurora, DynamoDB, API Gateway, ELB, S3, SNS/SQS, VPC, Security Groups, Secrets Manager)
\- Solid experience with Kubernetes and Docker (cluster management, Helm, pod lifecycle, migrations)
\- Proficiency in GitLab (Enterprise \& self\-hosted) and Bitbucket administration
\- Experience deploying Java microservices using Helm charts, YAML configs, and cloud config servers
\- Working knowledge of MongoDB, Redis, Elastic cache and Memcached
\- Hands\-on experience with tools like OpenLens, Grafana and Dynatrace
\- Experience with Flowable BPM and MuleSoft deployments is a strong advantage
\- Familiarity with conventional commits, semantic versioning and Docker image tagging
\- Team Leadership \& Stakeholder Management
\- Exposure to infrastructure\-as\-code tools like Terraform or Ansible
\- Experience with EKS and Terraform\- AWS certifications (DevOps Engineer)
Pay: ₹2,500,000\.00 \- ₹3,000,000\.00 per year
Work Location: Remote
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