Lead Software Engineer - Parametric
About The Position
The Lead Software Engineer is responsible for technical leadership, project management, process development, training, and support across Parametric’s Core Operations Platform. The role owns the Performance Reporting engine, which calculates and delivers portfolio performance metrics across the firm, and leads modernization of legacy performance calculation systems into scalable, event-driven, AWS cloud-native architecture. The engineer partners with business analysts, operations stakeholders, and technology teams to meet the accuracy, latency, and traceability standards required for client reporting, regulatory compliance, and investment decision support. The role includes designing and leading a high-throughput performance calculation engine on AWS, guiding migration of legacy applications, establishing engineering and data standards, and supporting dependable, auditable systems. It also involves leading Agile delivery, overseeing design documentation and code quality, building test coverage, evaluating technologies, and mentoring a global engineering team. The position follows Parametric’s hybrid model: employees work in the office three days a week and may choose to work remotely or in the office on the remaining days.
Requirements
- At least 8 years of hands-on software development experience.
- Bachelor’s degree in computer science or a related field.
- Strong object-oriented software development experience.
- 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 or messaging platforms.
- Strong experience with relational databases, SQL, and NoSQL data stores.
- Strong data modeling expertise across relational, columnar, key-value, and streaming patterns, with the ability to evaluate trade-offs against performance and latency requirements.
- Proven track record delivering through Agile/Scrum methodologies.
- Experience leading legacy system modernization initiatives.
- Strong communication skills and ability to work effectively with technical teams and non-technical business users.
- A constant learning and upskilling mindset.
- Fluency in AI/GenAI for engineering productivity, including integration strategy, code review, test-case creation, and code generation; understanding of the evolving AI landscape and ability to apply AI technologies in business and technical contexts.
- Experience with microservices architecture and Serverless technologies.
- Experience with CI/CD pipelines and code quality tooling.
Nice To Haves
- C#/.NET experience.
- AWS experience.
- Master’s degree.
- Infrastructure-as-Code experience, preferably Terraform.
- Experience with Snowflake as an analytical data warehouse.
- Experience in Financial Services.
Responsibilities
- Architect and lead development of a high-throughput, event-driven performance calculation engine on AWS that processes large volumes of financial data accurately and auditably.
- Lead migration of the legacy performance reporting application stack to a modern cloud-native platform, including migration strategy, sequencing, and risk mitigation.
- Design scalable distributed systems using object-oriented languages, Apache Kafka, and AWS services.
- Define and enforce data modeling standards, schema design, and data structure patterns for performance calculation use cases.
- Establish observability, alerting, and runbook standards for system reliability and auditability.
- Lead Agile delivery, including sprint planning, backlog refinement, and iterative delivery cadences.
- Provide pragmatic solutions to complex business problems while observing firm technology standards and regulatory constraints.
- Author and review technical design documents, Architecture Decision Records, and runbooks.
- Own and enforce code quality standards and conduct code and merge-request reviews.
- Build comprehensive unit, integration, functional, and performance test coverage.
- Research and evaluate open-source technologies and cloud-native AWS services, and drive justified adoption.
- Mentor and lead a global engineering team, provide regular feedback, support career development, and foster an inclusive, high-performing culture.
- Partner with business analysts and stakeholders to translate complex financial requirements into technical specifications.
- Collaborate with architecture, data platform, and infrastructure teams.
- Communicate technical trade-offs and roadmap recommendations to senior leadership.
Benefits
- Morgan Stanley-sponsored benefit programs and employee perks.
- Potential commission earnings, incentive compensation, discretionary bonuses, and other short- and long-term incentive packages, depending on the position.
- Hybrid work model with three office days per week and a choice of remote or office work on the remaining days.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
