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Morgan Stanley

Lead Software Engineer - Parametric

Morgan Stanley is hiring a Lead Software Engineer - Parametric in New York, United States. It pays $115k-$225k a year and Level rates it ; you can apply on Morgan Stanley.

Level's read on this job

  • On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions AWS, Serverless and software engineering among its tools and skills.
  • Level classes it as a lead role.
  • Morgan Stanley has 1,200+ other open roles on Level.

AI in this role

Lead software engineering for a resilient AWS-based performance reporting and calculation engine platform.

AWSServerless
software-engineeringevent-driven-architecturecloud-architecturedata-engineering

ABOUT MORGAN STANLEY
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firm's employees serve clients worldwide including corporations, governments, institutions and individuals. For further information about Morgan Stanley, please visit www.morganstanley.com.

ABOUT PARAMETRIC
Parametric is part of Morgan Stanley Investment Management, the asset management division of Morgan Stanley. We partner with advisors, institutions, and consultants to build portfolios focused on what's important to them and their clients. A leader in custom solutions for more than 30 years, we help investors access efficient market exposures, solve implementation challenges, and design multi-asset portfolios that respond to their evolving needs. We also offer systematic alpha and alternative strategies to complement clients' core holdings.

This role is part of Parametric's hybrid working model, which includes working in the office 3 days a week and choosing to work remotely or in the office the remaining days of the week.

ABOUT THE TEAM
The Performance Reporting team at Parametric:

  • Designs and operates a highly resilient, scalable platform on AWS to deliver performance and reporting data across the firm. The calculation engine aggregates data from multiple sources and teams, computes performance metrics, and applies both technical and business validation before publishing to downstream consumers.
  • Applies software and data engineering best practices to aggregate and transform data using event-driven and Serverless AWS technology
  • Maintain and plan for migration of existing legacy applications to a modern technology platform.


ABOUT THE ROLE

The Lead Software Engineer is responsible for providing technical leadership, project management, process development, training, and support across the Core Operations Platform. At the heart of this role is ownership of the Performance Reporting engine — the system that calculates and delivers portfolio performance metrics across the firm. The Lead Engineer will also drive the modernization of legacy performance calculation systems onto scalable, event-driven, and AWS cloud-native architecture.

The Lead Engineer will partner with business analysts, operations stakeholders, and cross-functional technology teams to ensure the platform meets the accuracy, latency, and traceability standards required for client reporting, regulatory compliance, and investment decision support.

PRIMARY RESPONSIBILITES

Technical Leadership

  • Architect and lead development of a high-throughput, event-driven performance calculation engine on AWS, processing large volumes of financial data with accuracy and auditability requirements
  • Drive the migration of the legacy performance reporting application stack onto a modern, cloud-native technology platform — defining migration strategy, sequencing, and risk mitigation
  • Design scalable distributed systems using Object oriented languages (.Net Preferred), Apache Kafka, and AWS services
  • Define and enforce data modeling standards, schema design, and data structure patterns appropriate for performance calculation use cases
  • Establish observability, alerting, and runbook standards to ensure system reliability and auditability

Delivery & Engineering Practice

  • Lead Agile-based delivery: sprint planning, backlog refinement, and iterative delivery cadences
  • Provide flexible, pragmatic solutions to complex business problems within firm technology standards and regulatory constraints
  • Author and review technical design documents, ADRs (Architecture Decision Records), and runbooks
  • Own and enforce code quality standards; conduct code and merge-request reviews
  • Build comprehensive test coverage: unit, integration, functional, and performance tests
  • Research and evaluate open-source technologies and cloud-native AWS services; drive adoption where justified

People & Stakeholder Leadership

  • Mentor and lead a global team of engineers; provide regular feedback, support career development, and foster an inclusive, high-performing engineering culture
  • Partner with business analysts and stakeholders to translate complex financial requirements into technical specifications
  • Collaborate cross-functionally with architecture, data platform, and infrastructure teams
  • Communicate technical trade-offs and roadmap recommendations clearly to senior leadership

JOB QUALIFICATIONS

  • 8+ years of hands-on Software Development experience
  • Bachelor’s degree in computer science, or related field; Master’s degree is a plus
  • Strong object-oriented software development experience; C#/.NET experience preferred
  • Significant experience building cloud-native applications; AWS preferred
  • Experience managing and guiding software development teams while fostering an engaging and collaborative environment.
  • Demonstrated experience architecting highly available, distributed, event-driven systems
  • Hands-on experience with Apache Kafka or equivalent streaming/messaging platforms
  • Strong experience working with relational databases, SQL, and NoSQL data stores (e.g., DynamoDB)
  • Strong data modeling expertise — relational, columnar, key-value, and streaming patterns; ability to reason about trade-offs under specific performance and latency requirements
  • Proven track record delivering via Agile/Scrum methodologies
  • Experience leading legacy system modernization initiatives
  • Strong communication skills — ability to work effectively with both technical teams and non-technical business users
  • A constant learning and upskilling mindset
  • Fluency in AI/GenAI for engineering productivity (integration strategy, code review, test-case creation, and code generation), with a strong understanding of the evolving AI landscape and the ability to apply AI technologies effectively in business and technical contexts.
  • Infrastructure-as-Code experience, preferably Terraform
  • Experience with Snowflake as an analytical data warehouse
  • Microservices architecture and Serverless technologies
  • Experience with CI/CD pipelines and code quality tooling
  • Experience in Financial Services is a plus

Parametric believes that each employee makes a significant contribution to our success. That contribution should not be limited by the assigned responsibilities. Therefore, this job description is designed to outline primary duties and qualifications, but not limit the employee or the organization to just the work identified. It is our expectation that every employee will offer his/her services wherever and whenever necessary to ensure the success of our services.

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 $115,000 and $ 225,000 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.

How we rate this

Lead Software Engineer - Parametric at Morgan Stanley rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software EngineeringEvent Driven ArchitectureCloud ArchitectureData EngineeringAWSServerless

Also common in software engineer jobs at this level

Pay

This job starts at
$115k
Typical software engineer job
$167k

This posting starts 31% below the typical software engineer job. See software engineer jobs

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  4. Tell me about a project where data engineering was part of your work. What did you do?
  5. Walk me through how you've used AWS in your day-to-day work.

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