Lead Software Engineer - Parametric

Lead Software Engineer

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.

Primary Responsibilities

Technical Leadership

• 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

Delivery & Engineering Practice

• 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

People & Stakeholder Leadership

• 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

Job Qualifications

• 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 No
  
  SQL 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.
• 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#  software development is a plus