Our DataSynapse GridServer team designs, scales, and maintains the high-performance computing (HPC) grid platform that powers our enterprise’s most critical, computationally intensive analytics. We specialize in distributed resource management, massive parallel processing, and low-latency workload scheduling. As part of this team, you will ensure the rock-solid reliability, performance, and scalability of the grid middleware that underpins our entire high-throughput infrastructure.

Job Description / Responsibilities

• Operational Impact: Own and execute the end-to-end QA strategy for DataSynapse GridServer components (Brokers, Engines, and Drivers), working to achieve rigorous operational testing targets with significant impact on overall platform stability.

• Independent Execution: Work independently under limited supervision to design, develop, and maintain robust test automation frameworks tailored for complex distributed systems.

• Project Ownership: Take full responsibility for entire QA projects, release cycles, and test processes within the GridServer ecosystem, ensuring seamless deployment of patches, upgrades, and feature additions.

• Process & System Improvement: Actively drive improvements in testing processes, automation pipelines, and regression suites to enhance the performance and efficiency of the QA team.

• Complex Problem Solving: Analyze and troubleshoot difficult, multi-faceted issues inherent to grid computing, such as distributed race conditions, network latency bottlenecks, memory leaks, and workload scheduling failures.

• Strategic Analysis: Solve intricate testing challenges by drawing from prior experience in high-performance computing (HPC) environments and deep analysis of systemic infrastructure behavior.

• Cross-Functional Communication: Effectively communicate test results, defect analyses, and quality metrics with parties within and outside of the QA function, including close collaboration with core GridServer development engineers and DevOps teams.

• External Collaboration: May represent the team and communicate technical issues externally with vendors (e.g., TIBCO support) or internal business clients (e.g., Quantitative Risk teams) regarding platform defects and environment setups.

• Operational Influence: Work to influence developers, system administrators, and product owners at an operational level regarding engineering policies, QA best practices, and release readiness procedures.

• Mentorship & Guidance: Provide hands-on guidance, coaching, and training to junior and mid-level QA engineers on the team to foster technical growth and ensure adherence to quality standards.

• Project Management: Lead QA initiatives for major platform releases, delegating testing tasks across the team and thoroughly reviewing others' test plans and automation code scripts.

Required Experience / Skills

• Professional Maturity: Experienced QA professional capable of working under limited supervision while tackling moderately complex software and infrastructure testing problems.

• Leadership Capabilities: Demonstrated experience providing coaching, technical guidance, and peer training to other QA team members.

• Advanced Domain Knowledge: Advanced knowledge of QA methodologies, automated test framework design, and distributed systems architecture. Practical knowledge of Agile project management and defect lifecycle tracking is highly valued.

• Technical Core: Strong experience testing highly concurrent backend applications, multi-threaded systems, or middleware clustering technologies

• Education & Experience Prerequisites: University Degree in Computer Science, Engineering, or equivalent experience and a minimum of 5 years of prior relevant experience

Optional Experience / Skills

• Additional Programming/Scripting Languages: Strong proficiency in scripting and test automation using Python, Bash, Java, or C# (GridServer supports multi-language engines; familiarity with these helps in writing comprehensive driver tests).

• Cloud & Modern Topologies: Experience testing containerized grid workloads within cloud-native environments (AWS, Azure, GCP) or container orchestration tools (Docker, Kubernetes).

• Performance Testing Tools: Familiarity with performance, load, and stress testing tools (e.g., JMeter) applied to distributed network architectures.

About Us:

Cloud Software Group is one of the world’s largest cloud solution providers, serving more than 100 million users around the globe. When you join Cloud Software Group, you are making a difference for real people, each of whom count on our suite of cloud-based products to get work done — from anywhere. Members of our team will tell you that we value passion for technology and the courage to take risks.  Everyone is empowered to learn, dream, and build the future of work. We are on the brink of another Cambrian leap -- a moment of immense evolution and growth. And we need your expertise and experience to do it. Now is the perfect time to move your skills to the cloud.

Cloud Software Group is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, sex or gender, sexual orientation, gender identity, gender expression, ethnicity, national origin, ancestry, citizenship, religion, genetic carrier status, disability, pregnancy, childbirth or related medical conditions (including lactation status), marital status, military service, protected veteran status, political activity or affiliation, taking or requesting statutorily protected leave and other protected classifications.

If you need a reasonable accommodation due to a disability during any part of the application process, please contact us via the Bridge portal for assistance.