Load Test & DevOps Engineer

As a Load Test DevOps Engineer at Cuculus India, you will be responsible for ensuring the performance, scalability, and reliability of our software systems through rigorous load testing, infrastructure automation, and continuous integration practices. Working in an agile environment, you will play a critical role in optimizing system performance, streamlining deployment processes, and ensuring end-to-end observability and reliability.

Your Role at a Glance

• Design, plan, and execute load and performance tests using industry-standard tools.
• Identify bottlenecks, optimize performance, and ensure scalability across services.
• Develop CI/CD pipelines and automate build, deployment, and monitoring workflows.
• Collaborate with development, QA, and infrastructure teams to improve system stability and performance.
• Set up and manage Kubernetes, Docker, and other container-based environments for scalability and deployment.
• Implement infrastructure as code (IaC) using Terraform or Ansible for consistent environment setup.
• Monitor system health, logs, and performance metrics using observability tools such as Prometheus and Grafana.
• Participate in incident analysis, troubleshooting, and continuous performance tuning.

• Hands-on experience with

  JMeter, Gatling, Locust, and LoadRunner

  .
• Identified performance bottlenecks and optimized system throughput and scalability.
• Simulated realistic user loads to evaluate system stability under stress.
• Collaborated with development and infrastructure teams to tune performance and improve response times.
• Generated and analyzed detailed

  performance and capacity planning reports

  .

• Expertise in

  Docker

  and

  Kubernetes

  (deployment, scaling, rollouts/rollbacks).
• Experience with

  Helm

  and Infrastructure as Code tools such as

  Terraform

  and

  Ansible

  .
• Strong Linux background for system configuration and troubleshooting.
• Proficient in

  CI/CD

  pipelines, including build and release management, artifact handling, approvals, and rollbacks.
• Skilled in

  Git

  workflows: branching (GitFlow/trunk-based), code reviews (PRs), tagging, merging, rebasing, and conflict resolution.

• Proficient in managing

  topics, partitions, and consumer groups

  .
• Knowledge of

  offset management

  , delivery semantics, and

  Schema Registry

  .
• Hands-on with

  Kafka Connect

  , data pipelines, and message monitoring/retention.

• Experience in implementing monitoring and alerting systems using

  Prometheus

  and

  Grafana

  .
• Strong understanding of

  logs, metrics, and distributed traces

  for system health and root cause analysis.