Software Engineer, Fulltime Internship (July - Dec 2026)

Who We Are Looking For:   

This opportunity is ideal for individuals interested in contributing to our team as a Software Engineer intern within State Street’s Global Technology Services organization. Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We’re driving the company’s digital transformation and expanding business capabilities using industry best practices and advanced technologies. The ideal candidate leads with integrity, embraces creativity, and invests in personal growth. This role requires a collaborative mindset, a passion for innovation, and the ability to inspire others.   

What You Will Do:     

In this role, you will perform the following day-to-day activities:  

• Design and develop secure applications  aligned with  best practices and compliance standards and deploying to Cloud environments.  

• Build and manage databases using a combination of database technologies  

• Create responsive user interfaces with HTML, CSS, JavaScript, and frameworks like React or Angular 

• Leverage AI/ML services on Azure /AWS to enhance application functionality, optimize workflows, or integrate intelligent features such as search, summarization, recommendations, or log analytics.

• Apply prompt engineering techniques to design, refine, and evaluate prompts used in AI‑powered features and automation

• Write unit and integration tests  

• Participate in design and code reviews  

• Collaborate with cross-functional teams to manage dependencies, identify risks, and deliver solutions  

In this role, you will have:  

Engagement in meaningful daily work: You'll take ownership of specific tasks and projects, gaining hands-on experience and building confidence through real contributions.   

A supportive learning environment: You'll exercise your judgment in a guided setting, with mentorship and supervision to help you grow.   

Focused skill development: This role is designed to help you deepen your expertise in a specific area.   

Clear structure and expectations: You'll work within well-defined parameters, giving you the clarity and focus to succeed.   

Independent contributions: You'll have the opportunity to make an impact through your individual contributions while collaborating with a supportive team.   

Focus on growth: While there are no people management responsibilities with this role, it is a great stepping stone for future leadership opportunities.   

A collaborative team culture: You'll build strong working relationships with your peers and supervisor, gaining valuable experience in a professional environment.   

Education and Preferred Qualifications:  

Candidates should be:   

• Final-year undergraduate or graduate students pursuing degrees in Computer Science, Software Engineering, or related technical disciplines who are interested in converting to a full-time role post-graduation  

• Enthusiastic about building a long-term career in a dynamic, technology-driven organization  

• Effective communicators with the ability to collaborate in a team-oriented environment  

• Open to feedback and committed to continuous learning and improvement  

• Motivated by real-world problem solving and eager to contribute innovative ideas  

Certification nice to haves:  

• AWS/Azure Certified Developer 

• AWS/Azure SysOps Administrator or equivalent 

• B.S. Computer Science/Engineering or related fields 

• Azure AI Engineer Associate, AWS Machine Learning Specialty, or similar AI/ML certifications

Core Competencies:   

Candidates should exhibit working knowledge of the following key skills and proficiencies:    

• Application Development 

• System Architecture 

• Database Management 

• Analytical Thinking 

• Problem Solving 

• Critical Thinking  

• Data Architecture 

• JavaScript 

• Java 

• C# 

• Prompt Engineering 

• AI/ML Fundamentals (model selection, data preprocessing, evaluation)

• Familiarity with LLMs and generative AI applications

• Experience with cloud‑native AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI)

Nice to have skills: 

• C++