Senior Specialist, Full-Stack Engineer

Senior Specialist, Full-Stack Engineer – Boston, MA

This role is responsible for designing, building, and supporting scalable full‑stack applications, APIs, automated workflows, and data products that enable decision‑making across Technology and Operations. You will work with front‑end and back‑end technologies, data engineering, and integration practices to create secure, resilient, and maintainable enterprise solutions.

• Design, build, enhance, and support full‑stack applications for performance measurement, client reporting, workflow automation, operational processes, and data analysis.
• Develop scalable solutions across the stack, including user interfaces, APIs, backend services, business logic, and database integrations.
• Build and maintain responsive, user‑friendly applications and dashboards using Angular, Type Script/JavaScript, and modern UI design principles.
• Develop and optimize backend services using Java, Spring Boot, Python, SQL, and Oracle, with a focus on performance, reliability, and maintainability.
• Design and implement RESTful APIs, service integrations, and reusable components to enable interoperability across warehouse, operational, and vendor platforms.
• Work with complex financial datasets—including positions, transactions, reference data, FX, corporate actions, pricing/valuation, and account hierarchies—to support reporting and analytics use cases.
• Implement controls for data quality, reconciliation, exception handling, monitoring, auditability, and operational resilience.
• Contribute to modern engineering practices including automated testing, CI/CD, code reviews, secure coding, and containerized deployment patterns.
• Partner closely with product owners, business analysts, QA, architects, and stakeholders in an Agile delivery model.
• Support application modernization efforts, simplify legacy solutions, improve developer productivity, and explore AI‑enabled tools for automation and efficiency.
• Participate in troubleshooting, root cause analysis, production support, and continuous improvement for business‑critical applications.

• Bachelor’s degree in computer science, engineering, or a related discipline, or equivalent work experience.
• 3–4 years of experience in software engineering, full‑stack development, or enterprise application development (preferably in a regulated, data‑intensive environment).
• Hands‑on experience with Java, Spring Boot, Python, SQL, Oracle, JavaScript, Type Script, and Angular.
• Proven experience building and supporting enterprise‑grade full‑stack applications, including user interfaces, APIs, backend services, and database‑driven solutions.
• Experience developing REST APIs and integrating with internal/external platforms, working extensively with JSON and XML.
• Advanced SQL and database experience: query optimization, validation, reconciliation, troubleshooting, and data analysis.
• Experience with containerization and orchestration technologies such as Docker.
• Familiarity with CI/CD pipelines, Git‑based version control, automated testing, and secure SDLC practices.
• Experience with cloud‑based data platforms, modern data pipelines, and enterprise integration patterns.
• Strong understanding of data‑warehousing concepts, dimensional modeling, ETL/ELT, and analytics‑oriented data structures.
• Strong analytical, problem‑solving, communication, and collaboration skills across cross‑functional teams.
• Experience working in Agile/Scrum environments.

• Experience with the Eagle product suite, including data model, ingestion/enrichment flows, integration frameworks, and performance reporting capabilities.
• Familiarity with front‑, middle‑, and back‑office processes across asset servicing or asset management.
• Experience supporting applications tied to performance measurement, attribution, NAV, risk/stat reporting, operational workflows, and client SLA deliverables.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience with messaging/event‑driven technologies such as Kafka, JMS, or MQ.
• Knowledge of monitoring and observability tools such as Splunk, Grafana, App Dynamics, Dynatrace, or Prometheus.
• Experience modernizing legacy platforms and improving engineering efficiency through automation and AI‑enabled development tools.
• Understanding of data quality, lineage, audit trails, and reconciliation controls in enterprise reporting environments.

Competitive base salary range of $71,000 to $123,000 per year, with additional compensation opportunities including commissions, bonuses, and incentive packages. BNY offers flexible paid leave, paid volunteer time, and comprehensive benefit programs to support health and financial well‑being.

BNY is an Equal Employment Opportunity/Affirmative Action Employer – Underrepresented racial and ethnic groups, Females, Individuals with Disabilities, Protected Veterans.