Starcom Consultants, as a worldwide growing company, faces a unique set of challenges and opportunities in staffing. With a global footprint, the company operates in diverse markets, each with its own cultural, regulatory, and talent landscape. Navigating these complexities requires a strategic approach to recruitment and talent management.

At Starcom Consultants, the key lies in building a robust global HR infrastructure capable of effectively sourcing, assessing, and onboarding talent across borders. This involves establishing strong partnerships with local agencies and recruiters who possess deep insights into regional markets. By leveraging technology and data-driven approaches, the company can streamline its recruitment processes and identify top talent efficiently.

Furthermore, fostering a culture of diversity and inclusion is fundamental to Starcom Consultants' success. Embracing diverse perspectives and backgrounds not only enhances innovation but also strengthens the company's ability to connect with clients and stakeholders on a global scale.

In addition to recruitment, investing in talent development and retention strategies is crucial. Providing ongoing training, mentorship programs, and opportunities for career advancement ensures that employees feel valued and motivated to contribute to the company's growth.

In essence, Starcom Consultants excels in staffing a worldwide growing company by combining strategic recruitment practices, a commitment to diversity and inclusion, and a focus on talent development. Through these efforts, the company continues to thrive in an ever-evolving global marketplace.

Starcom consulting limited

Senior QA Engineer (GCP)
Key Requirement: 4+ years of hands-on experience testing solutions on Google Cloud Platform (GCP) — this is non-negotiable.

Role Summary
We are seeking a hands-on QA Engineer or QA Analyst to validate the&nbsp; 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
1. Quality Strategy &amp; Test Design
<ul>
<li>Collaborate with product and engineering to translate requirements into testable, risk-based strategies.</li>
<li>Design comprehensive test plans, scenarios, and traceability matrices — from early design to release.</li>
<li>Define clear entry/exit criteria, test data needs, and signoff evidence — ensuring quality is measurable and auditable.</li>
</ul>
2. Functional &amp; Data Validation
<ul>
<li>Validate end-to-end data ingestion: full, incremental, and partition-overwrite loads — including watermarking, deduplication, and restartability.</li>
<li>Reconcile source and target data: counts, schemas, business keys, and field-level accuracy.</li>
<li>Test edge cases: malformed records, nulls, duplicates, empty inputs, large files, and boundary conditions.</li>
</ul>
3. Automation &amp; CI/CD Integration
<ul>
<li>Build and maintain automated test suites (API, integration, data validation, regression, smoke) for Java/microservice systems.</li>
<li>Integrate tests into CI/CD pipelines — publishing clear, actionable results and evidence.</li>
<li>Manage reusable test data, mocks, stubs, and environment-agnostic setups for consistent, repeatable testing.</li>
</ul>
4. Resilience, Observability &amp; Non-Functional Testing
<ul>
<li>Test error handling, retries, idempotency, dead-letter handling, and recovery workflows.</li>
<li>Validate Cloud Monitoring, logging, alerting, and dashboard reliability.</li>
<li>Conduct performance, scalability, concurrency, soak, and recovery testing — especially for high-volume ingestion.</li>
<li>Assess Kubernetes health (readiness/liveness probes, scaling, restart behavior) and cloud-native deployments.</li>
<li>Verify security controls: IAM, secrets management, least-privilege access, and data protection.</li>
</ul>
5. Defect Management &amp; Release Readiness
<ul>
<li>Log clear, reproducible defects with business impact, logs, and evidence — and partner with teams to resolve them.</li>
<li>Lead regression cycles, manage defect aging, and support release-readiness reviews.</li>
<li>Produce test completion reports, quality dashboards, and formal signoff packages for SIT, PRE-PROD, and PROD.</li>
</ul>
Required Qualifications
<ul>
<li>4+ years of hands-on QA experience — especially with enterprise data platforms, APIs, or ingestion systems.</li>
<li>Proven ability to design and execute test strategies, plans, and traceability matrices.</li>
<li>Experience testing Java apps, REST APIs, microservices, batch/streaming pipelines, and distributed systems.</li>
<li>Strong GCP experience: Cloud Storage, BigQuery, Pub/Sub, Dataflow, Cloud Monitoring, etc.</li>
<li>Deep familiarity with full-load, incremental-load, partition-overwrite, watermarking, reconciliation, and idempotency scenarios.</li>
<li>Advanced SQL and data-validation skills: source-to-target checks, schema validation, control totals.</li>
<li>Automation experience: CI/CD integration, test frameworks (Java-based), and test reporting tools.</li>
<li>Comfort with Kubernetes/containerized apps: health checks, config, scaling, and deployment behavior.</li>
<li>Ability to analyze legacy behavior, clarify ambiguous requirements, and communicate quality risks to stakeholders.</li>
<li>Experience supporting testing across SIT, PRE-PROD, and PROD environments.</li>
</ul>
Preferred Qualifications
<ul>
<li>Experience with ATLAS or similar enterprise ingestion frameworks (or legacy modernization projects).</li>
<li>Hands-on with Docker, Kubernetes, Helm, Terraform, and cloud-native CI/CD pipelines.</li>
<li>Familiarity with Apache Beam, data pipelines, schema evolution, and data-quality controls.</li>
<li>Ability to build quality dashboards, validate alerts, and produce incident-response evidence.</li>
<li>Performance testing experience: large-volume loads, recovery, and production-readiness reviews.</li>
<li>Background in Agile teams: estimation, backlog refinement, and cross-functional collaboration.</li>
<li>Knowledge of cloud security best practices: IAM, secrets, network boundaries, and least-privilege validation.</li>
</ul>
Ready to help shape the future of enterprise data? We’d love to hear from you.