Senior QA Engineer(GCP)

Senior QA Engineer (GCP)Key Requirement: 4+ years of hands-on experience testing solutions on Google Cloud Platform (GCP) — this is non-negotiable.Role SummaryWe are seeking a hands-on QA Engineer or QA Analyst to validate the GCP ingestion framework developed with Java, microservices, Google Cloud Platform (GCP), and Kubernetes. The successful candidate will define and execute a comprehensive quality strategy for enterprise data ingestion and downstream processing.This role will analyze the frameworks built, create traceable test coverage, and validate full loads, incremental loads, and partition-overwrite loads. The candidate will test framework reliability, data accuracy, error handling, alerting, and operational readiness, then provide evidence for signoff and support promotion through SIT, PRE-PROD, and PROD environments.Key Responsibilities Quality Strategy & Test DesignCollaborate with product and engineering to translate requirements into testable, risk-based strategies.Design comprehensive test plans, scenarios, and traceability matrices — from early design to release.Define clear entry/exit criteria, test data needs, and signoff evidence — ensuring quality is measurable and auditable. Functional & Data ValidationValidate end-to-end data ingestion: full, incremental, and partition-overwrite loads — including watermarking, deduplication, and restartability.Reconcile source and target data: counts, schemas, business keys, and field-level accuracy.Test edge cases: malformed records, nulls, duplicates, empty inputs, large files, and boundary conditions. Automation & CI/CD IntegrationBuild and maintain automated test suites (API, integration, data validation, regression, smoke) for Java/microservice systems.Integrate tests into CI/CD pipelines — publishing clear, actionable results and evidence.Manage reusable test data, mocks, stubs, and environment-agnostic setups for consistent, repeatable testing. Resilience, Observability & Non-Functional TestingTest error handling, retries, idempotency, dead-letter handling, and recovery workflows.Validate Cloud Monitoring, logging, alerting, and dashboard reliability.Conduct performance, scalability, concurrency, soak, and recovery testing — especially for high-volume ingestion.Assess Kubernetes health (readiness/liveness probes, scaling, restart behavior) and cloud-native deployments.Verify security controls: IAM, secrets management, least-privilege access, and data protection. Defect Management & Release ReadinessLog clear, reproducible defects with business impact, logs, and evidence — and partner with teams to resolve them.Lead regression cycles, manage defect aging, and support release-readiness reviews.Produce test completion reports, quality dashboards, and formal signoff packages for SIT, PRE-PROD, and PROD.Required Qualifications4+ years of hands-on QA experience — especially with enterprise data platforms, APIs, or ingestion systems.Proven ability to design and execute test strategies, plans, and traceability matrices.Experience testing Java apps, REST APIs, microservices, batch/streaming pipelines, and distributed systems.Strong GCP experience: Cloud Storage, BigQuery, Pub/Sub, Dataflow, Cloud Monitoring, etc.Deep familiarity with full-load, incremental-load, partition-overwrite, watermarking, reconciliation, and idempotency scenarios.Advanced SQL and data-validation skills: source-to-target checks, schema validation, control totals.Automation experience: CI/CD integration, test frameworks (Java-based), and test reporting tools.Comfort with Kubernetes/containerized apps: health checks, config, scaling, and deployment behavior.Ability to analyze legacy behavior, clarify ambiguous requirements, and communicate quality risks to stakeholders.Experience supporting testing across SIT, PRE-PROD, and PROD environments.Preferred QualificationsExperience with ATLAS or similar enterprise ingestion frameworks (or legacy modernization projects).Hands-on with Docker, Kubernetes, Helm, Terraform, and cloud-native CI/CD pipelines.Familiarity with Apache Beam, data pipelines, schema evolution, and data-quality controls.Ability to build quality dashboards, validate alerts, and produce incident-response evidence.Performance testing experience: large-volume loads, recovery, and production-readiness reviews.Background in Agile teams: estimation, backlog refinement, and cross-functional collaboration.Knowledge of cloud security best practices: IAM, secrets, network boundaries, and least-privilege validation.Ready to help shape the future of enterprise data? We’d love to hear from you.Skills: sql,cloud monitoring,data validation,google cloud platform,rest apis,apache beam,helm,junit,dataflow,docker,ci/cd,pub/sub,terraform,bigquery,java,cloud storage,microservices,kubernetes,test automation,selenium