Director, Solution Test Engineering

Overview

Lead Cohesity's global solution validation and end-to-end customer workflow testing organization, ensuring products and platforms are validated in real-world customer environments and complex enterprise ecosystems before production.

What you'll do

• Define and execute the long-term vision and strategy for Cohesity's Solution Test Engineering function.
• Build, lead, and mentor a globally distributed team of managers, architects, solution test engineers, and automation specialists.
• Establish a customer-centric testing strategy focused on real-world deployment scenarios and business outcomes.
• Drive organizational excellence through metrics, operational rigor, and continuous improvement.
• Lead end-to-end testing of integrated solutions across Data Security, Cyber Resilience, AI, Cloud, SaaS, and Data Management platforms.
• Validate customer deployment architectures across on-premises, hybrid cloud, and multi-cloud environments.
• Ensure comprehensive coverage of deployment, upgrades, migration, backup, recovery, DR, security, and operational workflows.
• Develop validation strategies for complex enterprise ecosystems involving VMware, Kubernetes, cloud platforms, security vendors, databases, and enterprise applications.
• Drive automation-first practices across solution testing, deployment validation, interoperability certification, and lifecycle testing.
• Build scalable test frameworks, simulation environments, and solution labs that accurately represent customer deployments.
• Improve release quality through earlier identification of system-level risks and cross-product integration defects.
• Establish meaningful KPIs around solution readiness, customer-impacting defects, interoperability coverage, and deployment success rates.
• Partner closely with Product Engineering, Product Management, Customer Success, Technical Support, Professional Services, Sales Engineering, and partner organizations.
• Influence product architecture and roadmap decisions through test-driven insights and customer deployment learnings.
• Collaborate with strategic technology partners to certify and validate integrated solutions.
• Serve as a trusted advisor to executive leadership on solution quality, release readiness, and customer adoption risks.
• Champion customer experience by proactively validating mission-critical workflows before product releases.
• Utilize customer escalations, field feedback, and operational telemetry to continuously improve testing coverage.
• Support strategic customer engagements and executive escalations by providing solution quality leadership.
• Drive validation for emerging AI-powered capabilities and next-generation customer workloads.

What you'll need

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.
• 15+ years of experience in software engineering, quality engineering, solution engineering, systems engineering, or platform validation.
• 5+ years of leadership experience managing managers and large engineering organizations.
• Proven track record building and scaling Solution Test Engineering, Systems Validation, Integration Testing, or Customer Validation organizations.
• Deep understanding of enterprise storage, backup, disaster recovery, cybersecurity, cloud infrastructure, or data management platforms.
• Strong experience with test automation, CI/CD pipelines, observability, and release engineering.
• Experience validating solutions across hybrid cloud environments, including AWS, Azure, and GCP.
• Demonstrated success collaborating across Product, Engineering, Support, Customer Success, and Executive Leadership teams.
• Excellent executive communication and stakeholder management skills.

Nice to have

• Experience in data protection, cyber resilience, enterprise storage, SaaS platforms, or security products.
• Hands-on experience with Kubernetes, virtualization platforms, distributed systems, and cloud-native architectures.
• Experience building customer-scale solution labs and interoperability certification programs.
• Familiarity with AI/ML-enabled platforms and validation of AI-powered workflows.
• Track record of improving customer adoption, deployment success, and release quality through systemic solution testing initiatives.

Details

• Location: Bangalore, India (Office).
• In-office expectation: employees within a reasonable commute work out of core offices 2-3 days a week of their choosing.
• Candidates outside the area should apply only if committed to relocating before their start date and having the legal right to work in the job location.