Lead Software EngineerThe 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 ResponsibilitiesTechnical LeadershipArchitect and lead development of a high-throughput, event-driven performance calculation engine on AWS, processing large volumes of financial data with accuracy and auditability requirementsDrive the migration of the legacy performance reporting application stack onto a modern, cloud-native technology platform — defining migration strategy, sequencing, and risk mitigationDesign 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 casesEstablish observability, alerting, and runbook standards to ensure system reliability and auditabilityDelivery & Engineering PracticeLead Agile-based delivery: sprint planning, backlog refinement, and iterative delivery cadencesProvide flexible, pragmatic solutions to complex business problems within firm technology standards and regulatory constraintsAuthor and review technical design documents, ADRs (Architecture Decision Records), and runbooksOwn and enforce code quality standards; conduct code and merge-request reviewsBuild comprehensive test coverage: unit, integration, functional, and performance testsResearch and evaluate open-source technologies and cloud-native AWS services; drive adoption where justifiedPeople & Stakeholder LeadershipMentor and lead a global team of engineers; provide regular feedback, support career development, and foster an inclusive, high-performing engineering culturePartner with business analysts and stakeholders to translate complex financial requirements into technical specificationsCollaborate cross-functionally with architecture, data platform, and infrastructure teamsCommunicate technical trade-offs and roadmap recommendations clearly to senior leadershipJob Qualifications8+ years of hands-on Software Engineering experienceBachelor's degree in computer science, or related field (advanced degree a plus)Expert-level Python — including async patterns, performance optimization, and library ecosystem5+ 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 systemsHands-on experience with Apache Kafka or equivalent streaming/messaging platformsStrong 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 requirementsProven track record delivering via Agile/Scrum methodologiesExperience leading legacy system modernization initiativesStrong communication skills — ability to work effectively with both technical teams and non-technical business usersA constant learning and upskilling mindsetFluency 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 plusExperience with PySpark for large-scale data processingInfrastructure-as-Code experience, preferably TerraformExperience with Snowflake as an analytical data warehouseMicroservices architecture and Serverless technologiesExperience with CI/CD pipelines and code quality toolingExperience in C# and.NET software development is a plus