Role - Lead Devops Engineer

Experience - 5+ years

Location - Remote

About the Role:

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.

Key Responsibilities

Cloud Infrastructure & Services

- 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

Kubernetes & Container Orchestration

- 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

CI/CD Pipeline & Deployments

- 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

Source Control & Access Management

- 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

Observability & Monitoring

- 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

Required Skills & Qualifications

- 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

Nice to Have

- 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