1. Load Testing
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.
2. DevOps
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.
3. Kafka
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.
4. Observability
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.
Please mention you found this job on AI Jobs. It helps us get more startups to hire on our site. Thanks and good luck!
Be the first to apply. Receive an email whenever similar jobs are posted.
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Operations Engineer Q&A's