Job Description

Gurgaon 1 5 to 8 years Full Time

We are looking for a

highly skilled DevOps Engineer

to support and optimize the deployment, scalability, and reliability of our cloud-based microservices architecture. The ideal candidate will have hands-on experience with containerized deployments, Kubernetes, monitoring tools, JVM tuning, and performance optimization.

Responsibilities / Scope of Work:

Docker Deployment & Optimization

+ Create Dockerfiles and multi-stage builds for Java, Node, and Angular apps. + Set up Docker Compose for local development.
+ Optimize image size and performance.

System Design for Microservices

+ Design infrastructure architecture for microservices-based applications. + Define service communication patterns (sync/async, service mesh, etc.).
+ Ensure fault-tolerance and high availability.

Kubernetes (K8s) Deployment

+ Configure deployments, StatefulSets, Services, and Ingress. + Implement

horizontal/vertical pod autoscaling

.
+ Set up Helm charts for reusable deployment patterns.

Load Balancing and API Gateway

+ Configure

NGINX

and

Spring Cloud Gateway

for internal and external traffic routing. + Implement rate limiting, circuit breakers, and routing policies.

NGINX Web Server Configuration

+ Set up web servers for micro frontends and static content. + Configure SSL, gzip compression, and custom headers.

Auto-scaling and Resource Optimization

+ Configure auto-scaling policies based on

CPU, memory

, or custom metrics. + Analyze and tune resource limits/requests for performance and cost.

Monitoring & Alerting

+ Integrate

Prometheus

and

Grafana

to monitor: + - JVM heap usage
- GC activity
- CPU, memory, and network metrics
- Application-level metrics (via Micrometre or custom exporters)
+ Set up alerts (e.g., Slack, Email, and Pager Duty).

JVM Performance Tuning

+ Analyze GC logs and memory usage in containerized environments. + Optimize JVM options (-Xms, -Xmx, GC, etc.).
+ Integrate VisualVM or JFR in CI/CD diagnostics.