Morganstanley - Jack415 - Test Logo

Morganstanley - Jack415 - Test

Senior .NET Technical Lead - VP

Reposted 11 Hours Ago
Be an Early Applicant
In-Office
New York, NY
150K-210K Annually
Expert/Leader
In-Office
New York, NY
150K-210K Annually
Expert/Leader
Lead and hands-on engineer for enterprise SaaS integrations and cloud tooling. Own onboarding, lifecycle management, automation, CI/CD, DevOps practices, production support, vendor coordination, and compliance for collaboration platforms.
The summary above was generated by AI
Role Overview

The End User Content Solutions (EUCS) squad designs, delivers, and supports enterprise SaaS platforms including Box, Google Workspace, Qualtrics, Microsoft Forms, and SIMPL—Morgan Stanley’s internal SaaS onboarding and lifecycle management platform. The squad plays a critical role in providing secure, scalable, and compliant external and internal collaboration platforms across the firm.

As a hands-on Lead Engineer in the EUCS squad, you will lead the SME group while remaining deeply involved in design and implementation. You will collaborate with the Product Owner, SaaS vendors, and internal engineering teams to deliver resilient, secure, and scalable SaaS integrations, and to execute a forward-looking platform roadmap.

Key Responsibilities
  • Provide technical and people leadership for the EUCS engineering squad.
  • Own cloud-based tooling and services, include SaaS application onboarding, integration solution design, tooling development, documents update, production support, and oncall escalation.
  • Improve platform reliability through automation, CI/CD, and DevOps practices.
  • Act as escalation point for complex production issues and vendor coordination.
  • Ensure compliance with risk, security, change management, and operational standards.
Required Skills
  • 10+ years of application development experience with .NET and C#.
  • Deep expertise in enterprise SaaS and cloud platforms (e.g., Box, Google Workspace, Qualtrics, Microsoft 365), including onboarding, lifecycle management, and automation.
  • Strong experience with enterprise authentication and identity integrations, including OAuth, OIDC, and SAML.
  • Solid understanding of networking fundamentals, with hands-on experience in web proxy and load-balancing technologies.
  • Experience using GenAI development tools such as GitHub Copilot, Claude Code, GPT, Gemini, or Grok.
  • Excellent problem-solving and prioritization skills for complex environments.
  • Clear, confident communication skills with technical and non-technical stakeholders
Preferred Skills
  • Familiar with Github/Copilot environment, proficient with Git-based version control and DevOps best practices.
  • Exposure to containerization technologies (e.g., Podman, Kubernetes).
  • Demonstrated leadership within Agile delivery frameworks.
  • Proven experience leading engineering teams delivering enterprise-scale cloud solutions.
  • A continuous-improvement mindset, with interest in automation and AI-driven innovation.

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 $150,000 and $210,000 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.

Similar Jobs at Morganstanley - Jack415 - Test

11 Hours Ago
In-Office
110K-190K Annually
Mid level
110K-190K Annually
Mid level
Automotive • Machine Learning • Energy
As a Digital Assets Product Owner, you will support product strategy, conduct market analysis, own product development, and prepare governance materials while collaborating with cross-functional teams within Wealth Management.
Top Skills: CryptoCustodyDigital AssetsFinancial ServicesRegulatory ComplianceRisk ManagementTokenization
225K-250K Annually
Mid level
Automotive • Machine Learning • Energy
The role involves developing pricing and forecast models, setting up new trading products, performing data analysis, and collaborating on risk management with traders.
Top Skills: C++Python
Yesterday
In-Office
150K-225K Annually
Mid level
150K-225K Annually
Mid level
Automotive • Machine Learning • Energy
The Associate will work on executing M&A transactions, collaborating with professionals to provide strategic advice and support clients effectively.
Top Skills: Financial ModelingFinancial Statements

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account