Performance Test Architect

Job description

**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** At Amtech, our people are our greatest differentiator. We create an environment where you can: **Purpose**Shape the future of manufacturing and supply chain operations by delivering mission-critical enterprise software used by industry-leading organizations. **Growth**Access continuous learning, leadership development, and cross-portfolio opportunities through Vista’s global network — accelerating both technical and managerial career paths. **Culture**Work in a collaborative, transparent, and people-first environment where values, accountability, and integrity guide every decision. **Innovation**Engage with cutting-edge technologies, including AI-driven automation, and contribute to modernizing financial systems and operational processes across the business.![]() **Role Description** Amtech is seeking an experienced **Performance Test Architect** to define and drive the performance engineering strategy for enterprise-scale, distributed, cloud-native applications. The ideal candidate will bring deep expertise in performance testing, workload modeling, capacity planning, observability, application bottleneck analysis, and production-readiness validation. This role requires someone who can operate beyond traditional performance testing—partnering with architects, developers, DevOps/SRE teams, product owners, and engineering leadership to identify scalability risks early, establish measurable non-functional requirements, and ensure systems can reliably support expected business growth and peak workloads. The profile is particularly suited to someone with extensive experience leading performance engineering for high-throughput systems, microservices, cloud platforms, messaging systems, e-commerce, and customer-facing applications, including load testing, capacity planning, JVM/database analysis, observability, Kubernetes, and distributed systems. **Key Responsibilities** **Performance Strategy & Architecture** - Define performance engineering strategies, standards, NFRs, KPIs, SLAs/SLOs, workload models, and release criteria. - Participate in requirements, architecture, database, infrastructure, and design reviews to identify performance risks early. - Design and execute baseline, load, stress, spike, endurance, scalability, capacity, volume, failover, and resilience tests. - Develop realistic workload models based on customer usage, business volumes, production traffic, concurrency, and forecasted growth. - Develop reusable performance solutions using JMeter, k6, Gatling, Locust, LoadRunner, NeoLoad, or similar tools. - Establish production-readiness and performance quality criteria for major releases. **Performance Analysis & Optimization** - Analyze response time, throughput, latency, concurrency, error rates, CPU, memory, network, database, and infrastructure utilization. - Identify bottlenecks across UI, APIs, microservices, databases, messaging, network, infrastructure, containers, and cloud platforms. - Correlate logs, APM data, distributed traces, database metrics, infrastructure telemetry, and application code to identify root causes. - Perform JVM, threading, connection-pool, caching, timeout, retry, queue, and autoscaling analysis. - Perform SQL performance analysis including execution plans, indexing, locking, blocking, waits, I/O, and connection pooling. - Partner with engineering teams to recommend, implement, and validate performance optimizations. - Lead root-cause analysis of production performance issues and recurring regressions. **Scalability, Capacity & Resilience** - Validate horizontal and vertical scalability, autoscaling, application stability, and infrastructure capacity. - Develop capacity models and recommend infrastructure sizing based on workload growth and utilization trends. - Analyze Kubernetes pods, CPU/memory limits, HPA behavior, database capacity, thread pools, connections, and queue depths. - Validate application behavior during peak workloads, infrastructure saturation, downstream failures, failover, and recovery. - Support capacity planning and production readiness for major launches and business-critical events. - Identify cloud and infrastructure optimization opportunities while maintaining performance and reliability. **Automation & Continuous Performance Testing** - Build reusable performance testing frameworks, utilities, and automated regression suites.