Why This Job is Featured on The SaaS Jobs
Why this Role is Featured on The SaaS Jobs
Quality leadership roles in SaaS rarely sit at the intersection of security, data platforms, and applied AI, but this one does. The remit spans automation strategy for a product positioned as a “Data Command Center,” with testing challenges that mirror where many SaaS platforms are heading: complex data graphs, large connector ecosystems, and AI-driven workflows that need validation beyond deterministic outputs.
For a SaaS career, the standout value is breadth across modern platform assurance. Owning automation frameworks that touch CI/CD, multi-cloud environments, and distributed systems creates experience that transfers across data infrastructure, security SaaS, and AI-native products. The emphasis on “LLM-on-LLM” evaluation and graph integrity also signals exposure to emerging QA patterns that are becoming increasingly relevant as SaaS teams ship AI features into production.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
Securiti.ai is looking for a heavyweight technical leader in Karachi to spearhead our Global Automation strategy. You will lead the "center of excellence" for quality, overseeing a large team of SDETs and Lead Engineers tasked with testing the world’s first Data Command Center.
In this role, you will bridge the gap between our SJC product vision and KHI execution. You will move beyond standard regression, building specialized frameworks to test Graph Database integrity, AI Agentic workflows, and Hyperscale Data Connectors.
What You’ll Do
Local Leadership & Global Sync
- Scale the KHI Hub: Lead the hiring, mentoring, and retention of a 40+ person SDET team in Karachi, ensuring high technical standards and alignment with Silicon Valley engineering culture.
- Architecture Ownership: Own the design of automation frameworks that support Connectors, Gencore (AI Agents), and Platform Services, ensuring they scale to handle petabytes of data.
- Shift-Left Integration: Work with the KHI-based Backend and Frontend development teams to ensure local QA is deeply embedded in the "Feature-Lead" lifecycle.
AI & Data Quality Innovation
- LLM-on-LLM Testing: Lead the Karachi team in building "Auto-evaluators" that use GenAI to validate the accuracy and security of our own AI models.
- Graph & Performance Testing: Supervise the validation of complex relationships in Neo4j and Amazon Neptune, ensuring multi-hop security queries remain performant at scale.
- Connector Reliability: Oversee the automated testing of 100+ connectors (Snowflake, Databricks, Salesforce), ensuring data integrity across diverse SaaS/IaaS schemas.
Operational Excellence
- CI/CD Orchestration: Ensure the Karachi team maintains seamless integration with global Jenkins/GitOps pipelines, managing "Green-Build" status across multi-cloud environments.
- Technical Mentorship: Be the "Engineer’s Director"—able to dive into Python/Go code, debug complex distributed system failures, and guide Senior SDETs through architectural bottlenecks.
What You’ll Bring
- Experience: 12+ years in Software Engineering/Quality, with at least 4+ years in a Director or Head of Department role within a reputable high-tech firm or global product company.
- Technical Stack:
* Expert-level Python or GoLang (Essential). - Deep experience with PyTest, Playwright, or Selenium.
- Strong knowledge of SQL, NoSQL (Elastic), and Graph (Neo4j).
- AI Literacy: Familiarity with the OWASP Top 10 for LLMs and the non-deterministic nature of testing GenAI outputs (RAG, prompt injection).
- Distributed Systems: Proven track record of testing microservices at scale and understanding "eventual consistency" in data platforms.
- Education: BS/MS in Computer Science from a top-tier university (NUST, FAST, GIKI, or international equivalent preferred).
- Communication: Exceptional English communication skills to act as the primary liaison between KHI engineering and SJC leadership.
Why Lead Securiti.ai in Karachi?
Most offshore roles are focused on maintenance. At Securiti.ai, you are building the core infrastructure for the AI revolution.
- Direct Impact: You aren't just "running scripts"; you are architecting the quality gates for products like AISPM and DSPM used by Fortune 500 companies.
- Silicon Valley Culture: Work directly with the founders and leadership of a "Unicorn" security firm, bringing world-class engineering practices to the Karachi tech ecosystem.
- Cutting Edge: You will have the budget and mandate to use AI-coding assistants (Cursor, Copilot) and Agentic frameworks (LangGraph) to reinvent how testing is done.
What You’ll Get
- Competitive compensation package
- Comprehensive health and wellness benefits
- Professional development opportunities
Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.
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By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
