# Performance Engineering Cloud Lead at Morgan Stanley

Morgan Stanley is hiring a Performance Engineering Cloud Lead in New York, United States. It pays $120k-$170k a year and Level rates it Little AI ●○○○; you can [apply on Morgan Stanley](https://jobsbylevel.com/go/0a1fc98b-0924-4ac0-82f8-506328ba5667?utm_medium=ai-agent).

AI Level 1, AI centrality 27 out of 100. New York, New York, United States of America.

## Details

- Company: [Morgan Stanley](https://jobsbylevel.com/companies/morgan-stanley)
- AI level: AI Level 1 (score 27 out of 100)
- Location: New York, New York, United States of America
- Salary: $120k-$170k
- Posted: October 21, 2026
- Apply: https://jobsbylevel.com/go/0a1fc98b-0924-4ac0-82f8-506328ba5667?utm_medium=ai-agent

## Description

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Performance Engineering Cloud Lead position at the Director level which is part of the job family responsible for managing and optimizing technical infrastructure and ensuring the seamless operation of IT systems to support business needs effectively. The Performance, Performance Analytics & Management (PPAM) organization is responsible for ensuring that critical technology platforms meet performance, scalability, capacity, resiliency, and customer experience objectives. As the firm progresses its cloud transformation, PPAM is expanding its Performance Engineering capabilities to address the unique performance and resiliency considerations associated with cloud-native architectures and applications. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on. We are seeking an experienced Performance Engineering Cloud Lead to establish and drive the Performance Engineering strategy for migration to Google Cloud Platform (GCP). This individual will serve as a Performance Engineering subject matter expert for cloud-native technologies, providing technical leadership across performance, scalability, resiliency, observability, capacity planning, and performance certification. 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.

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/performance-engineering-cloud-lead-at-morgan-stanley-0eb5a1

Source: https://jobsbylevel.com/jobs/performance-engineering-cloud-lead-at-morgan-stanley-0eb5a1

## Cite this page

Level. https://jobsbylevel.com/jobs/performance-engineering-cloud-lead-at-morgan-stanley-0eb5a1.

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