Anduril IndustriesBoston, Massachusetts, United States; Costa Mesa, California, United States; Washington, District of Columbia, United States$191k-$253kjust now
Morgan StanleyPosted 1mo ago
Senior Java/Scala Developer - Risk Infrastructure (Hybrid) at Morgan Stanley scores 17 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
We’re seeking a Senior Java/Scala Developer to join the Optimus SDLC team and lead the evolution of Optimus within the broader Codetree ecosystem, which supports Morgan Stanley’s Fixed Income business and 1,500+ developers working across approximately 40 million lines of code and 400,000+ tests. This hands-on role will improve the software delivery lifecycle, from local development and code review through build, test, release, and deployment, by advancing developer tools, platform infrastructure, distributed systems, workflow automation, and AI-enabled engineering capabilities.
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 Lead Software Engineering position at Director level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
What you’ll do in the role:
Build and enhance backend services, developer-facing tools, IDE integrations, bots, and SDLC platform infrastructure.
Design reactive and event-driven applications that integrate state from source control, build and test systems, workflow services, and operational data stores, and remain reliable under asynchronous updates and partial failures.
Contribute to AI-enabled engineering workflows across coding, testing, build failure diagnosis, code review, documentation, developer assistance, and remediation.
Evolve SDLC tools and interfaces so AI assistants and agents can interact safely and reliably with these workflows at scale.
Take ownership of operational reliability across the SDLC platform, diagnosing failures across services, applications, pipelines, distributed test infrastructure, schedulers, caches, and storage systems, and converting recurring issues into durable engineering improvements.
Partner directly with developers through triage and user engagement, translating feedback into durable platform enhancements.
Build observability, metrics, dashboards, and workflow automation that make the SDLC more reliable, transparent, and self-service.
Operate and scale build and test infrastructure supporting a large monorepo and extensive automated test estate.
Develop solutions with security, permissions, privacy, auditability, and responsible AI adoption in mind.
What you’ll bring to the role:
5+ years of software development experience, with strong Java or Scala skills (Python is used as a secondary language for automation and integration tooling).
Ability to design and develop scalable backend services, developer tooling, platform infrastructure, or automation solutions.
Understanding of Git workflows, code review practices, build systems, CI/CD concepts, test infrastructure, and release automation.
Strong debugging and analytical skills, with a track record of taking ownership of complex issues across distributed systems, build environments, and developer workflows.
Understanding of security, permissions, privacy, and auditability within engineering environments.
Ability to communicate effectively with technical users and stakeholders.
Experience with large monorepos, custom build systems, distributed test execution, or dependency graph analysis is beneficial.
Interest in applying AI-assisted software engineering tools safely and effectively across the SDLC.
All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.
Knowledge of French and English is required.
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.
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.
Get new AI jobs by email
One email a week with the new AI jobs, each rated AI Level 1 to 4 for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Software Engineering roles rated AI Level 1 at other companies.
CoreWeaveNew York, NY / Sunnyvale, CA$153k-$204kjust now
FastlyDenver, CO; New York City, NY; San Francisco, CA$181k-$217kjust now
WaymoMountain View, CA, USA $196k-$242kjust now
RobloxSan Mateo, CA, United States$197k-$243kjust now
ZscalerSan Jose, California, USA$212k-$265kjust now
StripeSan Francisco, Seattle, New York1h ago
CloudflareHybrid1h ago
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next stepMore jobs at Morgan Stanley
Morgan StanleyLondon, United Kingdom19h ago
Morgan StanleyTulsa, Oklahoma, United States of America19h ago
Morgan StanleyDallas TX 1445$149k-$239k19h ago




