Specialist Full-Stack Engineer

BNY; Pune District; On-site; INR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Competitive compensation

Job summary

BNY in Pune seeks a Specialist, Full-Stack Engineer to join the DATA SOLUTIONS AND SVCS PLATFORM team. You will design, develop, test, and deploy AI-enabled full-stack applications supporting enterprise platform capabilities.

Collaborate with product managers, data scientists, and governance partners to deliver high-quality solutions. Strong AI fluency, secure coding, and production readiness are expected.

Qualifications

• 3+ years in software development or full-stack roles.
• Experience with Agile, CI/CD, automated testing, and release management.
• Proficiency in Python, Java, JavaScript/TypeScript, React and Node.js; APIs.
• Exposure to generative AI, enterprise AI platforms, or AI-enabled apps.
• Cloud platforms, containerization, microservices, observability, and DevOps tooling.
• Strong communication, ownership and collaboration skills.
• Experience in financial services or highly regulated environments is a plus.

Responsibilities

• Design, develop, test, deploy, and maintain full stack AI-enabled solutions.
• Collaborate with product managers, data scientists, and governance teams to translate requirements into working software.
• Ensure security, privacy, resiliency, and observability across platforms.
• Support production readiness, deployment, and platform support efforts.
• Integrate AI/ML capabilities, prompts, data services, APIs, and enterprise systems.
• Participate in solution design reviews, testing, and release planning.

Skills

Python

Java

JavaScript/TypeScript

React

Node.js

SQL/NoSQL

APIs

Toolchains

Education

Bachelor's degree in CS/Engineering

Tools

Containerization

Microservices

DevOps tooling

Observability

Data integrations

Job description

Job Description

We’re seeking a future team member for the role of Specialist, Full-Stack Engineer to join our DATA SOLUTIONS AND SVCS PLATFORM team. This role is located in Pune.

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

• Design, develop, test, deploy, and maintain full stack applications that support applied AI solutions, enterprise platform capabilities, and AI-enabled product flows.
• The Vice President, Full Stack AI Developer will work closely with product managers, product owners, engineering leads, data scientists, platform teams, and governance partners to translate product needs into high-quality technical solutions. The role requires strong engineering fundamentals, practical AI fluency, disciplined execution, and the ability to contribute across solution delivery, integration, testing, deployment, production readiness, and ongoing platform support.
• Support applied AI solution delivery by integrating AI/ML capabilities, model outputs, prompts, automation workflows, data services, APIs, and enterprise systems into reliable product experiences.
• Provide platform support for AI capabilities, including enhancements, defect resolution, release support, troubleshooting, performance improvements, and maintainability.
• Support AI product enhancement across platforms by improving existing workflows, adding new capabilities, integrating reusable components, and ensuring solutions scale across business and technology environments.
• Partner with product owners, product managers, data scientists, and engineering teams to translate requirements into clear technical designs, implementation plans, and working software.
• Develop well‑designed, testable, efficient, and maintainable code to solve business and technology problems.
• Participate in solution design, code reviews, technical documentation, testing, release planning, deployment activities, and production readiness.
• Support application quality through automated testing, software verification, debugging, performance tuning, and secure coding practices.
• Troubleshoot, debug, upgrade, and enhance existing systems while managing technical debt and improving software maintainability.
• Ensure software solutions are aligned to enterprise architecture, security, privacy, resiliency, observability, and change management standards.
• Leverage existing products, reusable components, and platform capabilities to improve engineering efficiency and avoid duplication.
• Collaborate across product, engineering, data science, platform, operations, risk, and governance teams to deliver high-quality AI-enabled capabilities.

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

• Preferred 3+ years of experience in software development, full stack engineering, application development, platform support, or related technology roles.
• Experience developing, supporting, and enhancing enterprise applications using modern application, API, integration, and platform technologies.
• Strong understanding of software development lifecycle practices, Agile delivery, CI/CD, automated testing, code reviews, release management, and production support.
• Experience building secure, scalable, testable, and maintainable software in complex enterprise environments.
• Familiarity with AI-enabled applications, automation platforms, data-driven products, model integrations, prompt-based workflows, or AI/ML-enabled software solutions.
• Strong troubleshooting skills, including debugging application behavior, reviewing logs, resolving defects, and improving application reliability.
• Understanding of security, privacy, performance, resiliency, and maintainability considerations in enterprise software development.
• Ability to work effectively with product, engineering, data science, platform, operations, risk, and governance teams.
• Strong communication, problem‑solving, ownership, and collaboration skills.
• Bachelor’s degree in computer science, Engineering, or a related discipline, or equivalent work experience required.
• Experience in financial services, enterprise technology, or another highly regulated environment.
• Exposure to generative AI, large language models, retrieval systems, agentic workflows, AI-assisted development, or enterprise AI platforms.
• Experience with cloud platforms, containerization, microservices, DevOps tooling, observability, APIs, data integrations, and production support practices.
• Experience with Python, Java, JavaScript / TypeScript, React, Node.js, SQL / NoSQL databases, APIs, and modern engineering toolchains.
• Familiarity with AI observability, workflow automation, prompt orchestration, model lifecycle tooling, or data pipeline integration is a plus.

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting‑edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

At BNY, our culture speaks for itself, check out the latest BNY news at BNY Newsroom & BNY LinkedIn

Here’s a few of our recent awards:

• America’s Most Innovative Companies, Fortune, 2025
• World’s Most Admired Companies, Fortune 2025
• “Most Just Companies”, Just Capital and CNBC, 2025

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

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