Contribute to CI/CD pipelines, automated build and deployment processes, and test automation to support reliable releases.
Participate in code reviews, sprint planning, technical design discussions, and pod ceremonies to improve engineering quality and delivery effectiveness.
Debug, troubleshoot, and resolve defects across frontend, backend, integration, and deployment layers.
Collaborate with product owners, QA engineers, architects, and peer developers to translate business requirements into technical solutions.
Ensure code quality through adherence to engineering standards, secure coding practices, documentation, and testing best practices.
Support application monitoring, logging, and operational readiness to help maintain platform stability and performance.
Learn and apply enterprise patterns for microservices, cloud-native delivery, observability, and scalable software design.
Contribute to ongoing improvements in developer experience, performance optimization, and maintainability of platform components.
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
0–7 years of experience in software engineering or full-stack application development.
Working knowledge of Python or Java for backend development.
Experience with at least one modern frontend framework such as React or Angular.
Understanding of REST API design, web services, and integration patterns.
Familiarity with relational and/or NoSQL databases, including basic data modeling and query concepts.
Exposure to cloud-native development on AWS and/or Azure.
Familiarity with Git, version control workflows, CI/CD pipelines, and automated testing practices.
Basic understanding of microservices architecture, containerization, and software development lifecycle practices.
Experience with Docker and basic familiarity with Kubernetes.
Strong problem-solving skills and ability to debug issues across multiple layers of the application stack.
Ability to work effectively in a team-oriented, agile engineering environment.
Good written and verbal communication skills.
Knowledge of observability tools, logging, monitoring, and alerting practices.
Coursework, certifications, or project experience involving GenAI/LLM-powered applications is a plus.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
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