Principal Performance and Scalability Engineer

Location: Hyderabad Work Arrangement: Hybrid - 2 days per week in the office

Were looking for a technically exceptional and strategically minded Principal Performance & Scale Engineer to define and own Hylands organization-wide approach to performance engineering. In this role, youll set the standard for how we benchmark, test, and validate platform behavior at scale - building the systems, pipelines, and practices that ensure our enterprise platforms perform reliably under real-world, production-representative conditions.

Youll work across engineering, product, and SRE teams to establish performance SLOs, architect CI/CD-integrated benchmark pipelines, lead multi-billion-scale load campaigns, and close the loop between test environments and live production telemetry. Youll also push the frontier of AI workload benchmarking - evaluating inference latency, model-serving throughput, and resource consumption as Hylands platforms become increasingly AI-first. If youre energized by building things that last, influencing teams through credibility, and turning complex performance data into decisions that matter - wed love to connect.

• Define and own the organization-wide performance testing strategy - unified tools, scenarios, datasets, and metrics adopted consistently across every engineering team; establish performance SLOs jointly with Product and SRE, tracking and driving measurable improvements every release cycle.
• Architect CI/CD-integrated benchmark pipelines with automated regression detection, ensuring regressions are triaged and actionable within hours - never discovered at release time; publish and maintain living performance baselines including throughput targets, latency budgets, and scalability envelopes per component, visible across the organization.
• Lead multi-billion-scale benchmark campaigns that validate platform behavior under production-representative workloads, directly informing engineering decisions and customer-facing guidance; close the loop between benchmarks and production by ensuring live telemetry continuously feeds back into the test suite.
• Develop and execute AI workload benchmarking strategies - covering inference latency, model-serving throughput, and resource consumption under load - and leverage ML/AI for anomaly detection, predictive capacity planning, and intelligent test generation.
• Design and validate multi-tenant performance isolation - including fair resource allocation, noisy-neighbor mitigation, and per-tenant SLO adherence at scale; partner with feature teams during design reviews to surface scalability risks before code is written and define test plans that validate every significant change.
• Coach engineers across the organization on profiling, load generation, and building diagnosable systems - raising the performance engineering bar org-wide and aligning multiple engineering teams on shared tools and metrics through influence, not authority.

• Performance Testing: Gatling, JMeter & k6 (or similar)
• Cloud Platforms: AWS, GCP & Azure
• Container & Orchestration: Kubernetes & Terraform
• Observability: Prometheus & Grafana
• CI/CD Pipelines & Automated Regression Detection
• AI/ML Workload & Benchmarking Tools
• Distributed System Profiling & Tracing Tools

• 10+ years in performance engineering with hands-on expertise in Gatling, JMeter, k6, or similar tools; deep experience in distributed-system profiling, tuning, and capacity planning at enterprise scale.
• Proven experience running large-scale benchmarks at multi-billion-record or comparable scale - reproducibly - with a track record of delivering actionable, low-noise results that directly inform product and engineering decisions.
• Deep CI/CD integration expertise with experience building low-noise pipelines, automated regression detection, and ensuring performance results are actionable and triaged within hours - not days.
• Demonstrated track record of aligning multiple engineering teams on shared tools and metrics through influence, not authority; strong ability to operate cross-functionally and drive org-wide adoption of performance standards and practices.
• Ability to translate p95 latencies and throughput curves into decisions that product managers, executives, and customers can act on - bridging the gap between complex technical performance data and meaningful business outcomes.

• AI/ML workload benchmarking experience - including inference performance, GPU utilization, and serving-system scalability within enterprise AI environments.
• Multi-tenant architecture experience with hands-on performance isolation validation, noisy-neighbor mitigation, and per-tenant SLO enforcement at scale.
• SRE background with collaborative SLO definition and defense - bridging performance engineering and site reliability practices across engineering organizations.
• Cloud-native stack expertise across Kubernetes, AWS/GCP/Azure, Terraform, Prometheus, and Grafana for scalable, observable, and resilient performance testing infrastructure.
• Experience developing and maintaining living performance documentation - including baselines, runbooks, and scalability envelopes - that enable engineering and product teams to make confident, data-driven decisions.

Hyland is the pioneer of the Content Innovation Cloud , delivering ubiquitous enterprise intelligence to organizations with solutions that unlock actionable insights and drive automation.

Trusted by thousands of organizations worldwide, including many of the Fortune 100, Hylands solutions create the foundation for a connected, agentic enterprise, where teams harness the power of AI to redefine how they operate and engage with those they serve. For additional information on Hylands platform and services, please visit Hyland.com .

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#HylandLife

Since 1991, it has been Hylands mission to help our employees, customers and partners exceed their potential with our industry-leading content services platform . Our employees exude a contagious energy and are passionate about what they do - whether its helping customers succeed, raising up their fellow Hylanders, or engaging in the communities where they live and work.

The #HylandLife hashtag encompasses our employee-centric culture. Our employees live our culture day in and day out by bringing their best self to work. Hyland supports them to do just that through career development resources, wellbeing programs and innovation practices. We thrive on diverse viewpoints and new ideas and believe that a positive, inclusive workplace is imperative to sustainable success.

As weve grown to a company of nearly 4,000 strong, we have the opportunity to make a significant impact on our communities . We strongly support employee initiatives and align our giving campaigns and programs to organizations that are important to them.

Hyland is an equal opportunity employer. We value diversity and are committed to providing an inclusive workplace for all employees and applicants. Employment decisions are made without regard to any characteristic protected by applicable laws and regulations. Information collected during the hiring process is used solely to assess qualifications, verify identity, and comply with legal requirements.

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