• Location: Boston MA
• Type: Perm
• Job #24940

Company Overview:
A leading global investment firm with approximately $504 billion in assets under management is seeking a Principal Engineer to lead the architecture and implementation of distributed systems within their Operations technology platform.

Job Responsibilities:

• Define and lead the technical roadmap for operations and data platforms, ensuring scalability, reliability, and extensibility.
• Architect distributed and event-driven systems to support books of record, investment operations, and reference data services.
• Lead modernization initiatives leveraging cloud-native technologies, observability, and infrastructure-as-code (AWS/Terraform).
• Partner with data engineering and AI teams to productionize AI use cases and services that drive operational automation and insight.
• Lead design and development of critical backend components written in Python and related frameworks.
• Establish engineering standards, drive best practices, and ensure delivery of high-quality, maintainable systems.
• Collaborate closely with product, data, and operations stakeholders to translate business needs into scalable solutions.
• Drive continuous improvement initiatives around performance, reliability, and developer experience.
• Partner with product and operations leadership to align technical vision with organizational priorities.
• Provide architectural guidance across systems integrating financial data, AI services, and internal platforms.
• Mentor engineers across multiple teams, fostering deep technical growth and leadership development.

Qualifications:

• 10+ years of software engineering experience, with demonstrated technical leadership.
• Expert-level proficiency in Python, with experience building scalable backend or data systems.
• Strong hands-on experience with AWS (EKS/ECS, Lambda, S3, DynamoDB, CloudFormation/Terraform).
• Deep understanding of distributed systems design (microservices, messaging, caching, concurrency, resilience).
• Experience building production AI products (e.g., AI-assisted automation, inference services, or data-driven decision tools).
• Familiarity with AI tooling (e.g., LiteLLM, LangChain, vector databases, LLM APIs) is a plus.
• Experience with data modeling and modern data platforms (Snowflake or data lake architectures).
• Strong knowledge of relational databases (PostgreSQL, MySQL) and data integrity design.
• Background in financial systems or operations technology (accounting, treasury, reference data) is a strong plus.
• Excellent communication and leadership skills; proven ability to drive alignment across diverse stakeholders.

Compensation:
Salary: $150,000 – $200,000, Plus Bonus