QA Director

About Vista Equity Partners

Vista Equity Partners is a leading global investment firm focused exclusively on enterprise software, data, and technology-enabled businesses. With over $100B in assets under management and a portfolio of 90+ software product companies worldwide, Vista accelerates growth through operational excellence, shared expertise, and long-term partnership. In India, Vista’s presence continues to expand with 45+ portfolio companies employing more than 17,000 professionals across technology, product, customer success, and operations — reinforcing India’s strategic role as a hub of innovation and talent within the Vista ecosystem.

Through its Agentic AI Factory, Vista is embedding Generative AI across its global portfolio — enabling companies to integrate intelligent, responsible AI into products, operations, and decision-making. This initiative is strengthened through portfolio-wide learning programs, leadership workshops, and AI hackathons that foster innovation, build fluency, and accelerate practical AI adoption across teams.

About Amtech

Amtech is a leading provider of enterprise software solutions for the packaging, printing, and manufacturing industries. Our integrated systems streamline order management, production planning, scheduling, inventory, and business analytics — empowering customers to drive efficiency, reduce costs, and improve operational performance. With a strong commitment to innovation and customer success, Amtech delivers reliable technology backed by deep industry expertise.

With Vista’s investment and strategic guidance, we combine the agility of a growing technology organization with the scale, stability, and career mobility of a global software ecosystem.

Our Employee Value Proposition

Role Description

The Director of Quality Engineering (QE) is accountable for modernizing and scaling quality across ERP, SaaS, Cloud, and AI/Data platforms as Amtech transitions to a true multi-tenant SaaS architecture.

This is not a legacy QA role. The Director will build an engineering-driven quality ecosystem—automation-first, cloud-native, AI-enabled, and deeply integrated into CI/CD and production observability—ensuring speed without regression and innovation without instability.

You will define strategy, build the QE operating model, lead platform and embedded QE teams, and partner closely with Engineering, Product, SRE, Security, and Data.

Key Outcomes (What Success Looks Like) 

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Manual regression is largely eliminated and replaced with scalable automation 

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Quality is embedded early (“shift left”) and validated continuously through production 

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ERP, SaaS, Cloud, and AI/Data platforms ship faster with fewer escaped defects 

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Engineering teams own quality with QE acting as an enabler, not a gatekeeper 

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Production quality signals are visible, measurable, and actionable 

KEY RESPONSIBILITIES

 Quality Engineering Strategy & Leadership

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Own and evolve enterprise QE strategy aligned to SaaS modernization

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Establish QE as an engineering discipline, not a testing function

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Define quality standards, metrics, and Definition of Done

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Serve as the executive voice of quality across Product and Engineering

QE Operating Model & Teams

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Build and lead a lean, high-impact QE organization:

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QE platform & tooling

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Embedded SDETs aligned to product teams

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Production quality engineering with SRE

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Hire, mentor, and develop senior QE leaders and SDETs

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Scale globally with financial and operational discipline

Platform Quality (ERP, SaaS, Cloud, AI/Data)

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Modernize quality practices for enterprise ERP and complex workflows

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Define testing strategies for multi-tenant SaaS (tenant isolation, data security, upgrade validation)

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Embed quality into cloud-native platforms (Kubernetes, IaC, containers)

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Partner with SRE on resilience, performance, chaos testing, and observability

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Define quality standards for AI/ML models, data pipelines, and analytics platforms

Automation, CI/CD & Production Validation

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Own automation frameworks across unit, API, contract, UI, performance, security, and resilience testing

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Integrate continuous testing into CI/CD pipelines

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Establish production validation using synthetic monitoring, canaries, telemetry, and SLOs

Metrics & Governance

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Define and track actionable quality metrics (escape rates, automation coverage, pipeline stability, performance SLOs)

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Drive decisions through data, not intuition

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Run regular quality reviews with Product and Engineering leadership

SKILLS & QUALIFICATIONS

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Bachelor’s degree in Computer Science or related field

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12+ years in Quality Engineering, Software Engineering, or SDET leadership

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Proven experience modernizing quality for ERP, SaaS, and cloud-native platforms

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Strong automation-first mindset with hands-on CI/CD and cloud fluency

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Experience leading globally distributed teams

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Demonstrated ability to influence senior engineering and product leaders

Technical Expectations (Director-Level Fluency Required) 

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API and contract testing

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Cloud-native architectures (containers, Kubernetes, IaC)

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CI/CD and DevSecOps (SAST/DAST automation)

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Performance, security, resilience, and chaos testing

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Observability and production monitoring

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AI-assisted testing and data quality concepts

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Managing infrastructure ROI and cloud spend

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Complex ERP-to-cloud data migration quality 

Leadership Traits We Expect 

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Outcome-driven; no testing theater

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Strong change agent; challenges legacy QA models

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Engineering-first mindset—quality is built, not inspected

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Data-driven and calm under pressure

Why Join Amtech

At Amtech, you will drive meaningful financial impact in a growing enterprise software organization while benefiting from Vista’s world-class ecosystem. You’ll collaborate with talented peers, leverage cross-portfolio learning programs, and help shape the future of Amtech’s financial operations and systems. Build your career with Amtech — backed by the strength, scale, and innovation culture of Vista.