Lead Software Engineer - Parametric
About The Position
Morgan Stanley is a leading global financial services firm. Parametric, part of Morgan Stanley Investment Management, is a leader in custom solutions for advisors, institutions, and consultants. The Core Operations Platform team is responsible for building and supporting a unified technology ecosystem for efficient, scalable, and controlled execution of Client and Market Operations processes. The Performance Reporting team within this platform designs and operates a resilient, scalable platform on AWS to deliver performance and reporting data, aggregating and transforming data using event-driven and Serverless AWS technology, and migrating legacy applications to a modern platform. The Lead Software Engineer will provide technical leadership, project management, process development, training, and support for the Core Operations Platform, with a primary focus on the Performance Reporting engine. This role involves architecting and leading the development of a high-throughput, event-driven performance calculation engine on AWS, driving the migration of legacy systems to a cloud-native architecture, and partnering with business analysts and operations stakeholders to ensure the platform meets accuracy, latency, and traceability standards.
Requirements
- 8+ years of hands-on Software Engineering experience
- Bachelor’s degree in computer science, or related field (advanced degree a plus)
- Expert-level Python — including async patterns, performance optimization, and library ecosystem
- 5+ years of cloud-native development on AWS (Lambda, Step Functions, Batch, S3, Athena, Glue)
- Experience supervising and guiding software development teams and fostering an engaging, 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.
Nice To Haves
- Experience in Financial Services, particularly portfolio performance calculations, NAV/returns, or risk metrics is a plus
- Experience with PySpark for large-scale data processing
- 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 C# and .NET software development is a plus
Responsibilities
- 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 Python, Apache Kafka, PySpark, and AWS services (Lambda, Batch, Glue, Athena, S3, DynamoDB)
- 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
- 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
- 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
Benefits
- Attractive and comprehensive employee benefits and perks in the industry
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What This Job Offers
Job Type
Full-time
Career Level
Senior
