The Role
We are looking for a Senior QA Engineering Lead who thinks like a product engineer, operates like a data scientist, and leads like a builder. This is not a traditional test
management role. This is a pivotal, senior leadership position within InvestCloud's Digital Wealth product and technology group — responsible for transforming quality engineering from a gate at the end of the pipeline into an intelligent, continuous capability woven across every stage of the product delivery lifecycle (PDLC). You will lead a team of QA engineers while being deeply hands-on yourself — designing automation frameworks, embedding AI-driven quality intelligence, and setting the quality
engineering standard for one of the most complex, high-stakes product suites in the wealth management technology space.
You will work in close partnership with engineering, product, platform, data, and operations teams — driving a culture where quality is everyone's responsibility and AI is
the accelerator.
What You Will Own
- End-to-End Quality Strategy Across the PDLC
- Define and own the quality engineering roadmap for Digital Wealth — from
requirements and design through development, integration, release, and production
- Embed quality gates at every stage of the PDLC — shifting left to catch defects at design time, not post-release
- Lead the evolution from manual, reactive testing to a predictive, AI-augmented quality model across all Digital Wealth product lines
- Own the release confidence framework — Go/NoGo criteria, coverage thresholds,risk-based testing models, and rollback decision logic
- Intelligent Test Automation & AI Enablement
- Architect and own a modern test automation platform — functional, regression, API, performance, and BDD — integrated with CI/CD pipelines (GitLab)
- Drive adoption of AI-powered QA tooling including: o AI test case generation from requirements (natural language → test suite)o Automated test taxonomy mapping and Jira classification (coverage gaps surfaced automatically) o Defect impact analysis — identifying which platform tiers, portals, andregression flows are affected by every fix o AI-assisted environment health monitoring — proactive alerting with module-level root-cause hints o AI-driven release notes and Go/NoGo documentation generated from live Jira + GitLab data
- Champion test data management at scale — including AI-generated schema validated test datasets for complex scenario permutations (account × model × sleeve × restriction × security)
- Integrate AI observability into QA — log analysis, anomaly detection, and predictive failure identification across Dev, SIT, CERT, and Production
environments
- Quality Engineering Leadership & Team Development
- Build, lead, and mentor a high-performing team of Quality Engineers and SDET engineers.
- Shift the team identity from testers to Quality Engineers — full-stack capable, AI literate, and product-accountable
- Define clear career paths, competency frameworks, and upskilling standards that prioritize hands-on engineering depth alongside functional wealth domain
knowledge
- Foster a culture of shared quality ownership — coaching developers, BAs, and product managers to participate actively in quality practices
- Partner with the engineering leadership team to define quality KPIs, sprint-level quality metrics, and release health dashboards visible to all stakeholders
- Cross-Functional Integration & Release Intelligence
- Serve as the quality owner across Digital Wealth's cross-functional delivery squads — advisors, portfolio management, client reporting, operations, and settlements
- Partner with Release Management to automate and accelerate the Go/NoGo release process — reducing release note preparation from hours to minutes
- Integrate QA practices with SWIFT operations, reconciliation, and settlement workflows — ensuring quality extends to data accuracy and operational
correctness, not just functional behaviour
- Own the defect lifecycle — from triage and root-cause classification through resolution verification and regression prevention
- Drive environment health and readiness standards across all non-production tiers — ensuring Dev, SIT, CERT, and UAT environments are consistently stable and
observable
- Metrics, Reporting & Continuous Improvement
- Define and publish quality health metrics across the PDLC: defect escape rate,automation coverage, test execution velocity, environment stability, release risk
scores
- Use data-driven quality insights to influence product prioritization, technical debt decisions, and engineering investment
- Build a living quality knowledge base (integrated with Glean) — runbooks,regression taxonomies, test scenario libraries — that grows with every sprint and
survives team changes
- Establish AI-driven regression intelligence — predictive models that identify which areas of the product are highest risk for a given release based on change
impact analysis
Key Skills We Are Looking For
Core Engineering (Must Have)
- 10+ years of progressive QA / SDET / quality engineering experience in complex, enterprise SaaS or fintech product environments
- Hands-on expertise in test automation frameworks — Selenium, Playwright, Cypress, RestAssured, or equivalent — with a strong preference for engineers who
have built frameworks from scratch, not just maintained them
- Strong API testing expertise — REST, GraphQL, SOAP — with experience integrating API test suites into CI/CD pipelines
- Proficiency in at least one programming language — Python, Java, C#, orJavaScript/TypeScript — at a level where you can write automation code, review
PRs, and debug failures independently
- Deep experience with CI/CD integration — GitLab CI, Jenkins, or Azure DevOps —and quality gates in automated deployment pipelines
- Solid understanding of performance and load testing — JMeter, k6, Gatling, orequivalent — and experience defining NFR baselines for wealth management
platformsAI & Intelligent Quality (Strong Preference)
- Hands-on experience with AI-powered QA tooling — test generation fromrequirements, defect classification, impact analysis, or log intelligence
- Familiarity with LLM-based automation — Claude, GPT-4, or similar — forgenerating test cases, interpreting logs, and producing release documentation
- Experience with RAG-based knowledge retrieval for QA knowledge bases —runbooks, regression taxonomies, scenario libraries
- Understanding of Glean, Jira, Confluence, and GitLab integrations for AI-assisted QA workflows
- Ability to evaluate, adopt, and govern emerging AI QA tools responsibly —balancing innovation velocity with data security and compliance
Domain & Product (Preferred)
- Experience testing wealth management, financial services, or capital markets platforms — portfolio management, advisor tools, settlements, reconciliation, or
client reporting
- Familiarity with portfolio accounting systems, DataLoader patterns, or complex financial data models
- Understanding of SWIFT messaging, trade settlement, or reconciliationworkflows from a quality and data accuracy perspective
- Experience with regulatory compliance testing — ensuring products meetfinancial services governance and audit standards
Leadership & Culture (Essential)
- Demonstrated ability to lead and grow QA engineering teams — hiring, mentoring, performance management, and capability development
- Experience shifting quality left — embedding QA practices at requirements and design stages, not just execution
- Strong stakeholder communication — ability to translate quality metrics, release risk, and defect trends into clear narratives for product, engineering, and senior
leadership audiences
- Experience driving quality culture change — moving organizations from siloed testing to shared engineering quality ownership Comfortable operating in a senior individual contributor + people leader hybrid model —leading the team while remaining hands-on in architecture, tooling, and delivery
Location & Working Model
Bengaluru, India
- 3-day in-office (hybrid)
- Full-time permanent InvestCloud India
- Bengaluru
- May 2026
- Confidential — For Internal Recruitment Use ©2026 InvestCloud, Inc.
- Wealth Connected™
