The role will partner closely with Architecture, Engineering, Infrastructure, and Platform teams to evaluate cloud architectures, lead performance proof-of-concepts and benchmark studies, establish engineering standards and guardrails, and certify target architectures from a performance and resiliency perspective.
This is a highly technical role requiring the ability to influence architectural decisions through data-driven analysis, engineering expertise, and measurable performance outcomes.
The objective of this position is to establish dedicated cloud-native Performance Engineering expertise within PPAM as the adoption of GCP expands. The role will bridge the existing Performance Engineering capability with emerging cloud architectures by introducing the standards, tooling, automation, capacity models, performance guardrails, and certification methodologies needed to evaluate cloud workloads consistently.
The position will help ensure that cloud-hosted applications meet required performance, scalability, resiliency, capacity, and customer-experience objectives, while reducing technical risk associated with cloud migration and supporting the broader modernization program.
What you’ll do in the role
Define and drive the Performance Engineering strategy for GCP transformation, embedding performance, scalability, resiliency, and capacity considerations into architecture decisions from inception.
Partner with Architecture, Engineering, Infrastructure, and Platform teams to evaluate cloud-native designs and deployment patterns, including microservices, Kubernetes/GKE, service mesh, caching, messaging, and data platforms.
Lead performance assessments, proof-of-concepts, benchmarks, and comparative architecture studies, providing data-driven recommendations across latency, throughput, scalability, resiliency, and cost-performance tradeoffs.
Establish cloud performance engineering standards, methodologies, guardrails, and non-functional requirements covering capacity, resiliency, failover, autoscaling, and observability.
Design performance validation frameworks covering load, stress, endurance, scalability, failover, chaos, and resiliency testing.
Establish performance baselines and capacity models to support application growth and efficient operation across multi-region and multi-cell cloud architectures.
Partner with development teams to identify and remediate performance bottlenecks across application, middleware, database, network, storage, container, and cloud infrastructure layers.
Evaluate and introduce modern performance testing, monitoring, observability, and automation capabilities to enable continuous performance validation throughout the software delivery lifecycle.
Define performance certification criteria and governance to validate cloud workloads against established service-level objectives prior to production rollout.
Leverage cloud-native telemetry and observability data to develop actionable performance insights, dashboards, forecasting models, and capacity recommendations.
Provide technical leadership and mentorship across the Performance Engineering organization, building broader expertise in cloud performance engineering and cloud-native architecture.
Communicate performance risks, architectural tradeoffs, certification results, and readiness assessments to senior technology stakeholders.
What you’ll bring to the role
10+ years of experience in Performance Engineering, with strong expertise supporting distributed systems and large-scale customer-facing applications.
Hands-on experience with Google Cloud Platform (GCP) and cloud-native architecture.
Strong knowledge of Kubernetes/GKE, cloud networking, cloud databases, containers, and observability platforms.
Demonstrated experience defining performance strategies for cloud migration or large-scale technology modernization initiatives.
Deep understanding of scalability and resiliency patterns, including autoscaling, caching, asynchronous processing, event-driven architectures, multi-region deployments, and cell-based architectures.
Strong understanding of performance modeling, benchmarking, capacity planning, bottleneck analysis, and non-functional testing.
Hands-on experience with performance and observability technologies such as LoadRunner, JMeter, Grafana, Prometheus, Dynatrace, AppDynamics, Splunk, or equivalent platforms.
Experience defining and executing load, stress, endurance, scalability, failover, and resiliency testing.
Strong analytical and troubleshooting skills across multiple layers of the technology stack.
Ability to influence senior Engineering and Architecture stakeholders through data-driven technical recommendations.
Excellent written and verbal communication skills with the ability to translate complex technical findings into clear architectural recommendations.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY
At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Expected base pay rates for the role will be between $120,000 and $170,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.
