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About the job

We’re seeking a future team member for the role of Senior Associate, Full Stack Engineer to join our Enterprise Onboarding platform team. This role is located in Pittsburgh, PA.

In this role, you’ll make an impact in the following ways:

Contribute to the design, development, and delivery of software solutions that power BNY's business-critical Enterprise Onboarding platform.

Apply sound engineering judgment to build scalable, reliable, and maintainable applications and services.

Partner with senior engineers to develop AI-enabled capabilities leveraging large language models (LLMs), retrieval-augmented generation (RAG), model APIs, prompt engineering, agentic workflows, and related technologies.

Collaborate with architects, engineers, product partners, and operations teams to translate business requirements into high-quality technical solutions.

Develop, test, deploy, and support application features and services across the software development lifecycle.

Participate in technical design discussions, code reviews, troubleshooting, and continuous improvement initiatives that enhance engineering quality and team effectiveness.

Leverage modern engineering practices, automation, AI-assisted development tools, and CI/CD pipelines to improve software quality and delivery efficiency.

Support operational excellence through observability, resiliency, production readiness, incident response, and operational documentation.

Contribute as an active member of Agile teams, helping deliver against business priorities and committed outcomes.

Build knowledge of financial services and onboarding processes to develop solutions that align technology capabilities with business needs.

To be successful in this role, we’re seeking the following:

Bachelor’s degree in computer science, Engineering, or a related discipline, or equivalent work experience required.

2 plus years of experience in software development required.

Experience designing, developing, and supporting reliable, scalable applications in production environments.

Proficiency in Java, Spring Boot, RESTful APIs, and distributed systems development.

Experience with relational databases, data modeling, and application performance optimization.

Hands-on experience with microservices architecture, CI/CD pipelines, and containerization technologies.

Familiarity with event-driven architectures, messaging platforms such as Kafka and MQ, and large-scale data processing environments.

Experience working within Agile development teams, including software testing, source code management, release management, and production support.

Strong analytical, problem-solving, communication, and collaboration skills.

Experience with Python or other scripting languages is preferred.

Foundational knowledge of generative AI and machine learning technologies, including LLMs, prompt engineering, retrieval-augmented generation (RAG) context management, and model APIs.

Experience within financial services or other regulated industries is preferred.