Lead Software Engineer - Parametric

Morgan Stanley•New York, NY

3d•$115,000 - $225,000•Hybrid

About The Position

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.

Requirements

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

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 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
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