Automation & QA Engineer – Distributed / Hybrid Cloud Systems (Quality & Assurance)/ 298 days ago
Job Preference:
Nice-to-Have Skills
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CI/CD pipeline experience (GitHub Actions, Jenkins, GitLab CI)
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Observability tooling: Prometheus, Grafana, Loki, ELK, Jaeger,
OpenTelemetry
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Chaos testing tools: Gremlin, LitmusChaos
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Terraform or Helm (light usage)
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Security testing tools (OWASP ZAP, BurpSuite)
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Experience with Kafka/RabbitMQ testing
Qualifications
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3–7 years of experience in Test Automation or Quality Engineering
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Strong analytical and debugging skills
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Experience testing large-scale or distributed backend systems
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Comfortable working in Linux-based development environments
Qualification:
Any Graduate, Any Post GraduateJob Description:
We are looking for an Automation & QA Engineer with strong experience testing distributed, hybrid-cloud, microservices-based systems. You will design and implement automated test suites, validate large-scale system behavior, and ensure reliability, performance, and correctness of services deployed across cloud and on-prem environmentsKey Responsibilities
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Design and develop automated test suites for REST/gRPC-based
microservices
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Perform system, integration, regression, and performance testing
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Validate distributed workflows involving multiple services, asynchronous
flows, retries, and failure scenarios
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Test deployments on Kubernetes-based environments (cloud + on-prem)
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Work closely with developers and DevOps to troubleshoot issues, analyze
logs, and identify root causes
· Validate high-availability, failover, scalability, and data consistency
scenarios
· Create test plans, strategies, and documentation for complex workflows
· Build mocks/stubs using tools like WireMock/Hoverfly for isolated
testing
Skills:
Required Skills & Experience
1. Distributed Systems & Cloud (QA Level)
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Understanding of microservices, APIs, load balancers, networking basics
(TCP/IP, DNS, SSL, routing)
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Working knowledge of cloud platforms (AWS/Azure/GCP)
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Experience with hybrid setups (VPN, private networking, on-prem ? cloud
communication)
2. Kubernetes & Docker
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Hands-on experience deploying, testing, and debugging apps on Kubernetes
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Familiar with pods, deployments, services, ingress, configmaps/secrets,
logs, events
3. Programming & Scripting
· Strong automation
skills in Python (preferred) or Java
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Linux and shell scripting (bash)
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Solid understanding of Git, branching, version control
4. API & Integration Test Automation
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Experience with:
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Postman or Postman scripts
o
REST Assured / Karate / Python Requests
o
WireMock, Hoverfly, or Pact (contract testing)
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Strong understanding of HTTP, JSON, REST patterns
5. Performance & Load Testing
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JMeter, Locust, or Gatling
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Experience testing latency, throughput, and scalability of distributed
systems
6. QA Fundamentals
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Strong test design (boundary, equivalence, combinatorial)
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Understanding of asynchronous testing, event-driven flows
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Ability to analyze logs, trace flows, debug failures