{"id":3039069,"url":"https://alion.io/job/morgan-stanley-performance-engineering-cloud-lead","title":"Performance Engineering Cloud Lead","company":{"id":40230,"name":"Morgan Stanley","domain":"morganstanley.com","url":"https://alion.io/company/morgan-stanley","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"A","score":89,"open_postings":201,"ghost_share":0,"stale_share":0.438,"repost_share":0.015,"time_to_fill_p50_days":59,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120000,"max":170000,"currency":"USD","period":"year","gross":null,"usd_annual":170000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AppDynamics","optional":false},{"name":"Dynatrace","optional":false},{"name":"GCP","optional":false},{"name":"Google GKE","optional":false},{"name":"Grafana","optional":false},{"name":"JMeter","optional":false},{"name":"Kubernetes","optional":false},{"name":"Prometheus","optional":false},{"name":"Service Mesh","optional":false},{"name":"Splunk","optional":false}],"status":"live","first_seen_at":"2026-10-16T00:00:00Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-25T02:44:57Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"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.\nMorgan 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.\nInterested in joining a team that’s eager to create, innovate and make an impact on the world? Read on.\nWe 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.\nThe 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.\nThis is a highly technical role requiring the ability to influence architectural decisions through data-driven analysis, engineering expertise, and measurable performance outcomes.\nThe 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.\nThe 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.\nWhat you’ll do in the role:\nDefine and drive the Performance Engineering strategy for GCP transformation, embedding performance, scalability, resiliency, and capacity considerations into architecture decisions from inception.\nPartner 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.\nLead performance assessments, proof-of-concepts, benchmarks, and comparative architecture studies, providing data-driven recommendations across latency, throughput, scalability, resiliency, and cost-performance tradeoffs.\nEstablish cloud performance engineering standards, methodologies, guardrails, and non-functional requirements covering capacity, resiliency, failover, autoscaling, and observability.\nDesign performance validation frameworks covering load, stress, endurance, scalability, failover, chaos, and resiliency testing.\nEstablish performance baselines and capacity models to support application growth and efficient operation across multi-region and multi-cell cloud architectures.\nPartner with development teams to identify and remediate performance bottlenecks across application, middleware, database, network, storage, container, and cloud infrastructure layers.\nEvaluate and introduce modern performance testing, monitoring, observability, and automation capabilities to enable continuous performance validation throughout the software delivery lifecycle.\nDefine performance certification criteria and governance to validate cloud workloads against established service-level objectives prior to production rollout.\nLeverage cloud-native telemetry and observability data to develop actionable performance insights, dashboards, forecasting models, and capacity recommendations.\nProvide technical leadership and mentorship across the Performance Engineering organization, building broader expertise in cloud performance engineering and cloud-native architecture.\nCommunicate performance risks, architectural tradeoffs, certification results, and readiness assessments to senior technology stakeholders.\nWhat you’ll bring to the role:\n10+ years of experience in Performance Engineering, with strong expertise supporting distributed systems and large-scale customer-facing applications.\nHands-on experience with Google Cloud Platform (GCP) and cloud-native architecture.\nStrong knowledge of Kubernetes/GKE, cloud networking, cloud databases, containers, and observability platforms.\nDemonstrated experience defining performance strategies for cloud migration or large-scale technology modernization initiatives.\nDeep understanding of scalability and resiliency patterns, including autoscaling, caching, asynchronous processing, event-driven architectures, multi-region deployments, and cell-based architectures.\nStrong understanding of performance modeling, benchmarking, capacity planning, bottleneck analysis, and non-functional testing.\nHands-on experience with performance and observability technologies such as LoadRunner, JMeter, Grafana, Prometheus, Dynatrace, AppDynamics, Splunk, or equivalent platforms.\nExperience defining and executing load, stress, endurance, scalability, failover, and resiliency testing.\nStrong analytical and troubleshooting skills across multiple layers of the technology stack.\nAbility to influence senior Engineering and Architecture stakeholders through data-driven technical recommendations.\nExcellent written and verbal communication skills with the ability to translate complex technical findings into clear architectural recommendations.\nWHAT YOU CAN EXPECT FROM MORGAN STANLEY:\nAt 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.\nTo learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.\nExpected 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.\nMorgan 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.\nOur workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.\nFor more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.","description_format":"text","description_chars":8801,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Wealth Management & Financial Advisors","Asset Management & Funds","Investment Banking & M&A Advisory","Online Brokerage & Trading Platforms"],"lifecycle":[{"event":"open","at":"2026-10-21T22:14:33Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 261 · green card filings: 46","filings_12m":261,"filings_prev_12m":208,"green_card_filings_12m":46,"median_offered_wage_usd":202500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":5}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":8,"expected_fill_days":59,"reasons":["conf:2","velocity","win:early","comp:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":{"stated_usd_annual":170000,"is_top_pay":false},"html_url":"https://alion.io/job/morgan-stanley-performance-engineering-cloud-lead","json_url":"https://alion.io/job/morgan-stanley-performance-engineering-cloud-lead.json","meta":{"generated_at":"2026-10-25T05:37:15Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":7794,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":40230},"rest":"https://alion.io/mcp/rest/get_company?id=40230"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmorgan-stanley-performance-engineering-cloud-lead"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmorgan-stanley-performance-engineering-cloud-lead"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmorgan-stanley-performance-engineering-cloud-lead"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/morgan-stanley-performance-engineering-cloud-lead\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmorgan-stanley-performance-engineering-cloud-lead"}]}