Principal Software Engineer - Assistant Vice President

Company Profile State Street Investment Management is the asset management arm of State Street Corporation, previously known as State Street Global Advisors (SSGA). We are one of the world’s largest investment managers, recognized for our pioneering role in indexing and quantitative investing, and for creating the first U.S.-listed Exchange Traded Fund (ETF). We offer a comprehensive range of investment solutions, including passive and active strategies, and provides asset management, research, and advisory services to a global client base of institutional investors. State Street Investment Management reflects the company’s commitment to growth, innovation, and a partnership-focused approach to delivering tailored investment solutions

Why this role is important to us The team you will be joining is a part of State Street Investment Management, one of the largest asset managers in the world. We partner with many of the world’s largest, most sophisticated investors and financial intermediaries to help them reach their goals through a rigorous, research-driven investment process. With over four decades of experience and trillions of dollars in assets under management, we offer one of the broadest selections of services across asset classes, risk profiles, regions and styles. As pioneers in index, ETF, and ESG investing, we are always inventing new ways to invest. As part of project pathways initiative, you would be involved in defining the target state platform and operating model of state street investment management arm.

Responsibilities

• Lead and drive key technical initiatives and projects, improving existing platform capabilities, supporting operational adoption, and enabling future scalability and growth.
• Provide hands-on technical leadership across the full development lifecycle, including analysis, design, development, testing, debugging, and delivery of large-scale, complex software solutions within business and technical domains.
• Design, enhance, and maintain core frameworks and shared components, ensuring reliability, performance, and maintainability of systems critical to platform operations.
• Collaborate closely with Product Managers and Business Analysts to translate complex requirements into high-quality, low-latency, and sustainable software solutions.
• Lead problem-solving efforts for complex technical challenges, directing resolution of advanced design, performance, data, and integration issues across major project phases.
• Design and guide data domain interactions, applying best practices to ensure consistency, scalability, and alignment with existing data sources and platforms.
• Develop, test, and implement production-grade software using Java, cloud-native technologies, React, JavaScript/TypeScript, and emerging capabilities such as GenAI, while maintaining a strong hands-on engineering role.
• Provide informed technical guidance through code and design reviews, offering critical analysis of proposed changes to ensure alignment with architectural standards and performance expectations.
• Ensure high-quality software delivery by writing and reviewing unit, integration, and automated tests, with a focus on performance, resilience, and maintainability.
• Continuously improve testing practices and frameworks, identifying opportunities to strengthen automation, coverage, and development efficiency.
• Actively contribute to and help lead the agile delivery process, including participation in daily standups, sprint planning, backlog refinement, and retrospectives, while promoting continuous improvement in engineering practices.

Preferred Qualifications And Education

• 12+ years of experience in software engineering, with deep expertise in object-oriented design, design patterns, SOLID principles, and industry best practices.
• Strong proficiency in Java, with experience building scalable, high‑performance, multi‑tier applications.
• Proven experience designing, building, and deploying distributed systems and scalable microservices, using API styles such as REST, RPC, gRPC, and OpenAPI.
• Hands-on experience with cloud-native architectures on AWS and/or Azure, including modern data platforms such as Snowflake and Databricks.
• Experience with containerization and orchestration technologies, including Docker, Kubernetes, and infrastructure-as-code tools such as Terraform.
• Familiarity with messaging and streaming platforms (e.g., Kafka, Apache Flink) for event-driv…