This senior technology leadership role is responsible for defining and executing the vision, strategy, and roadmap for developer experience, engineering productivity, platform engineering, and AI-enabled software development across State Street Investment Management. The successful candidate will help shape the future of software engineering by combining platform engineering, modern developer experiences, and artificial intelligence to improve how technology solutions are designed, built, tested, deployed, and operated.
Responsibilities
Lead the vision, strategy, roadmap, and execution of Atlas, the Engineering Platform for State Street Investment Management
Define and drive the Developer Experience (DevEx) strategy to improve engineering productivity, reduce delivery friction, and accelerate time-to-market
Establish and evolve platform engineering capabilities, including reusable services, engineering accelerators, self-service capabilities, developer tooling, and reference implementations
Lead the development of AI-powered engineering capabilities that improve software design, coding, testing, documentation, API development, deployment, and operational support
Drive adoption of AI-assisted software engineering practices across the Software Development Lifecycle (SDLC)
Evaluate and operationalize emerging AI technologies, agent-based solutions, and large language model capabilities to enhance engineering effectiveness
Build and scale shared engineering platforms that promote reusability, consistency, governance, and engineering excellence
Partner with Architecture, Security, Cloud Engineering, Infrastructure, and Application Development teams to establish modern software delivery standards and practices
Develop and implement engineering governance frameworks, standards, operating models, and adoption strategies
Define and measure engineering productivity, platform adoption, and business value realization metrics
Lead innovation initiatives focused on engineering automation, developer experience, and AI engineering capabilities
Build, mentor, and develop a high-performing team of platform engineers, architects, and AI engineering professionals
Collaborate with senior technology and business leaders to align platform investments with strategic business objectives
Foster a culture of innovation, experimentation, continuous improvement, and engineering excellence
Anticipate, monitor, and manage technology, operational, security, and AI governance risks
Act in accordance with Risk Excellence principles and demonstrate ethical leadership and decision-making
Requirements
Demonstrated experience leading Platform Engineering, Developer Experience, Engineering Productivity, or Engineering Transformation initiatives in large enterprise environments
Millions of jobs, with real people getting hired every day
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Tailored applications submitted
Strong understanding of modern software engineering practices, cloud-native architectures, DevOps, Site Reliability Engineering, and platform engineering principles
Experience building Internal Developer Platforms (IDP) and enterprise-scale engineering platforms
Proven success improving engineering productivity and driving adoption of shared technology capabilities across large engineering organizations
Deep understanding of Artificial Intelligence technologies, including Generative AI, Large Language Models (LLMs), AI Agents, and AI-assisted software development
Experience applying AI technologies to improve engineering effectiveness, software delivery, quality, and operational efficiency
Experience defining AI governance, responsible AI practices, and enterprise AI operating models
Strong experience with cloud platforms, preferably AWS
Experience building scalable APIs, microservices, event-driven architectures, and modern engineering ecosystems
Strong knowledge of CI/CD, DevSecOps, Infrastructure as Code, automation frameworks, and developer tooling
Proven ability to lead global, cross-functional initiatives and influence senior technology stakeholders
Excellent communication, executive presence, and stakeholder management skills
Strong strategic thinking combined with hands-on execution capability
A passion for innovation, continuous learning, and engineering excellence
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related discipline
Master's degree with 12+ years or Bachelor's degree with 15+ years of relevant technology industry experience
At least 5 years of leadership experience managing engineering, architecture, platform engineering, or developer productivity teams
Experience leading enterprise-scale software delivery, cloud transformation, platform engineering, or technology modernization programs
Strong background in software architecture, distributed systems, cloud-native engineering, and enterprise application development
Experience working with modern software development languages, frameworks, and engineering practices
Experience with AWS cloud services and modern cloud-native application architectures
Track record of driving organizational change, technology adoption, and engineering transformation initiatives
Strong written and verbal communication skills in English
Ability to balance long-term strategic vision with operational execution and delivery excellence
Demonstrated ability to build and develop high-performing engineering organizations
Nice to have:
Experience building, deploying, or scaling Generative AI, AI Agent, or AI-assisted engineering solutions strongly preferred
About the Company
State Street Investment Management helps institutional investors manage risk, respond to challenges, and drive performance and profitability. They are committed to fostering an environment where every employee feels valued and empowered to reach their full potential.
