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About the Role

We are looking for a Senior AI Software Engineer with 7 to 10 years of experience to help maintain, modernize, and enhance business-critical technology platforms supporting equity derivatives, structured-products pricing, trading workflows, external connectivity, and front-office operations. The role is primarily focused on backend Java/Spring engineering, with meaningful exposure to distributed service integration, pricing and quote workflows, databases, observability, CI/CD, and selective full-stack work across modern Angular/TypeScript and Python-based platform libraries. The ideal candidate is a hands-on senior engineer who can understand complex production systems, support pricing and trading workflows, modernize legacy components safely, and partner closely with trading, sales, quantitative, operations, and technology stakeholders. We are also looking for someone who can use AI-assisted engineering tools pragmatically to improve code comprehension, test generation, debugging, refactoring, documentation, and operational support while maintaining strong engineering judgment, code quality, and production discipline.

Responsibilities

Build, maintain, and enhance Java/Spring services supporting equity derivatives pricing, quote lifecycle, workflow management, trading connectivity, and downstream platform integration.
Support RFQ, quote lifecycle, valuation, product setup/defaulting logic, pricing gateway flows, external connectivity, booking/order workflows, and downstream consumers.
Integrate with internal and external systems using REST/OpenAPI-first patterns, event-driven messaging, WebSocket, SOAP/WSDL where needed, and enterprise authentication/authorization mechanisms.
Support trading-connectivity workflows involving external platforms, pricing requests, quote distribution, workflow state, data transformation, and downstream consumption.
Work with SQL databases, stored procedures, schema migrations, JDBC/JPA/Hibernate, cache layers, and document or NoSQL-backed services where needed.
Support selective Angular/TypeScript changes for front-office workflow applications, including forms, grids, quote workflows, entitlements, and UI regression testing.
Build and maintain automated tests across backend and UI workflows, including unit tests, integration tests, contract tests, and Playwright-based end-to-end tests where appropriate.
Support and improve production readiness through observability, health checks, metrics, logging, tracing, deployment configuration, CI/CD pipelines, contract testing, and regression suites.
Investigate and resolve production issues across APIs, services, data flows, messaging layers, authentication, pricing workflows, connectivity, and UI-adjacent components.
Modernize legacy components incrementally while preserving production stability and minimizing business disruption.
Identify opportunities to automate manual support, workflow validation, regression checks, monitoring, reporting, and operational handoffs.
Use AI-assisted engineering tools to accelerate code comprehension, refactoring, test generation, debugging, documentation, regression analysis, and support automation.
Partner closely with trading, sales, quantitative, operations, and technology teams to clarify requirements, troubleshoot issues, and deliver practical enhancements.
Participate in design discussions, code reviews, testing, release readiness, production support, and modernization efforts.

Requirements

7 + years of professional software engineering experience in enterprise, financial technology, or other production-critical environments.
Strong Java backend engineering background, ideally across Java 8/11/17 and Spring Boot, Spring Security, Spring Web, or equivalent enterprise Java frameworks.
Experience building and maintaining multi-module backend services using Gradle, Maven, or comparable enterprise build systems.
Strong understanding of distributed service integration, including REST APIs, OpenAPI, messaging, retries, resilience patterns, authentication/authorization, and service discovery.
Experience maintaining systems with multiple upstream and downstream dependencies.
Comfortable with SQL, schema migrations, stored procedures, JDBC/JPA/Hibernate, and production data troubleshooting.
Testing discipline using JUnit, Mockito, integration tests, contract tests, WireMock, Testcontainers, Playwright, or comparable tools.
Experience supporting production systems using logs, metrics, health checks, CI/CD pipelines, deployment configuration, rollback processes, and debugging workflows.
Ability to troubleshoot issues across services, APIs, data flows, batch processes, messaging layers, UI-facing workflows, and downstream consumers.
Comfortable working with legacy codebases while incrementally improving reliability, testability, and maintainability.
Ability to work independently across ambiguous systems, clarify ownership, break down problems, and drive issues to closure.
Strong communication skills with business users, operations partners, quantitative teams, and cross-functional technology teams.

Skills

Structured-products
Equity derivatives
Trading-domain knowledge
RFQ
Pricing
Valuation
Quotes
Greeks
Underliers
Product templates
Order flow
Booking
Lifecycle events
Risk/pricing contexts
REST/OpenAPI-based trading-connectivity
External platform integrations
Request/response workflows
Asynchronous messaging
Retries
Idempotency
Entitlement checks
Failure handling
Event-driven or messaging technologies
Kafka
Kafka Streams
JMS/MQ
FIX
Pricing services
Trading workflow platforms
Front-office workflow tooling
Quote lifecycle systems
External trading platform integrations
Angular/TypeScript
Modern Angular versions
RxJS
State management frameworks
Grid components
SCSS
Playwright
Jest
Jasmine/Karma
Python service or library
Python 3.x
FastAPI
Pydantic
pytest
ruff/mypy
Hatch
httpx
Mongo or document databases
API integrations
OpenTelemetry
Observability and operational tooling
Micrometer
AppDynamics
Structured logging
Dashboards
Alerts
Health checks
Enterprise deployment and build platforms
CI/CD
Artifact management
Controlled release processes
Production support practices
AI-assisted development tools
GitHub Copilot
LLM-based code analysis
Automated test generation
Documentation generation
Debugging support
Developer workflow automation
AI and automation

Location

42 countries

Work Type

Full-time

Experience Level

Senior
Director level
7 to 10 years of experience
7 + years of professional software engineering experience

Salary/Compensations

$120,000 and $170,000 per year

Benefits

Attractive and comprehensive employee benefits and perks in the industry
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.

About the Company

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.
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.
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.

Equal Opportunity

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.