Lead Software Engineer - Parametric

1 hour ago

Base Salary

$115k - $225k/yr

Responsibilities

Architect and lead development of a high-throughput, event-driven performance calculation engine on AWS.
Drive the migration of legacy performance reporting applications to a modern cloud-native platform.
Design distributed systems using Python, Apache Kafka, PySpark, and AWS services.
Define data modeling, schema design, observability, alerting, runbook, and reliability standards.
Lead sprint planning, backlog refinement, iterative delivery, technical design documentation, and code reviews.
Establish comprehensive unit, integration, functional, and performance test coverage.
Research and evaluate open-source technologies and AWS services for adoption.
Mentor and lead a global engineering team, provide feedback, and support career development.
Partner with business analysts, operations stakeholders, architecture, data platform, and infrastructure teams.
Communicate technical trade-offs and roadmap recommendations to senior leadership.

8+ years of hands-on software engineering experience.
Bachelor’s degree in computer science or a related field; an advanced degree is a plus.
Expert-level Python experience, including asynchronous patterns, performance optimization, and library ecosystems.
5+ years of cloud-native development experience on AWS, including Lambda, Step Functions, Batch, S3, Athena, and Glue.
Experience supervising and guiding software development teams.
Experience architecting highly available, distributed, event-driven systems.
Hands-on experience with Apache Kafka or equivalent streaming or messaging platforms.
Strong experience with relational databases, SQL, and NoSQL data stores such as DynamoDB.
Strong data modeling expertise across relational, columnar, key-value, and streaming patterns.
Experience delivering through Agile/Scrum methodologies and leading legacy modernization initiatives.
Strong communication skills with technical teams and non-technical business users.
Fluency in applying AI and generative AI to engineering productivity, including integration strategy, code review, test-case creation, and code generation.
Financial services experience, particularly portfolio performance calculations, NAV/returns, or risk metrics, is a plus.
Experience with PySpark, Terraform, Snowflake, microservices, serverless technologies, CI/CD pipelines, and code quality tooling is preferred.
Experience with C# and .NET software development is a plus.

Hybrid working model requiring three days per week in the office, with the remaining days worked remotely or in the office.
Morgan Stanley offers comprehensive employee benefits and perks for employees and their families.
The company provides opportunities for internal mobility, professional development, and career growth.

10,000+ employees