Performance Test Architect

• 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.

Integrate performance testi ng into CI/CD pipelines usin g Jenkins, GitHub Actions, Azure DevOps, GitLab CI, or equivalent tools.

Automate test data preparation, execution, monitoring, analysis, baseline comparison, and reporting.

Establish automated performance quality gates and regression detection.

Track performance baselines and trends across releases to proactively identify degradation before production.

Observability & Front-End Performance

Define observability requirements and create dashboards for performance analysis and production-readiness assessments.

Use tools such as Grafana, Prometheus, Splunk, Datadog, Dynatrace, New Relic, AppDynamics, Kibana, and InfluxDB.

Evaluate browser performance, Core Web Vitals, page rendering, network activity, and responsiveness using Chrome DevTools, Lighthouse, WebPageTest, or Playwright tracing.

Quality Engineering & Technical Leadership

Collaborate with Quality Engineers, Developers, Architects, Database, DevOps/SRE, and In frastructure teams on functional and non-functional quality.

Produce clear performance reports highlighting findings, trends, risks, capacity constraints, and recommendations.

Mentor engineers on performance engineering practices and promote a performance-first quality mindset.

Represent Performance Engineering in architecture, design, and release-readiness reviews.

Introduce approved AI-assisted performance engineering approaches for workload modeling, script generation, log analysis, result interpretation, RCA, and defect investigation.

Skills & Qualifications

Bachelor's degree in computer science, Engineering, Information Technology, or equivalent experience.

12+ years of Quality/Performance Engineering experience, with significant hands-on performance engineering expertise.

Experience as a Performance Ar