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求人BNY Mellon

Senior Specialist, Full-Stack Engineer

BNY Mellon

Senior Specialist, Full-Stack Engineer

BNY Mellon

Pune, MH, India

·

On-site

·

Full-time

·

2w ago

Senior Associate, AI-Augmented Full-Stack Engineer

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 innovator, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #Life AtBNY is all about. Join us and be part of something extraordinary.

We’re seeking a future team member for the role of Senior Associate, AI-Augmented Full-Stack Engineer to join our Wealth . This role is located in Pune.

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

  • Embrace Engineering 2.0 practices by actively using AI-augmented development workflows in your day-to-day work, contributing to team velocity and quality improvements

  • Use AI coding assistants (Windsurf, Claude Code) and Model Context Protocols (MCPs) to accelerate your software delivery, automate routine tasks, and maintain high engineering standards

  • Contribute to the design and development of scalable solutions that integrate machine learning models, event streaming pipelines, and cloud-native services on Azure and AWS

  • Support the implementation of data platforms using Snowflake, helping to build and maintain integrations with broader enterprise data ecosystems

  • Assist in building and maintaining event streaming architectures (e.g., Kafka, Azure Event Hubs) to support high-throughput financial data flows

  • Develop and maintain full-stack features using .NET/C#, Angular, and SQL, writing clean, well-tested, and maintainable code

  • Participate in technical workshops and knowledge-sharing sessions, actively learning and contributing to discussions on AI-augmented development and cloud patterns

  • Support team members through peer collaboration and pair programming, helping to foster a culture of continuous learning

  • Work closely with senior engineers, architects, and data teams to understand and apply best practices for cloud infrastructure and data pipeline design

  • Participate in code reviews, both giving and receiving constructive feedback to improve code quality across the team

  • Contribute to Agile ceremonies and practices, helping to drive effective and adaptive workflows

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

  • Enthusiasm for AI-augmented development, with exposure to or willingness to learn tools such as Windsurf, Claude Code, and Model Context Protocols (MCPs)

  • An understanding of Engineering 2.0 principles and a desire to use AI and intelligent automation to enhance how software is designed, built, and deployed

  • Familiarity with machine learning concepts and an interest in integrating ML capabilities into applications and data pipelines

  • Exposure to or willingness to learn Snowflake for data warehousing and analytics

  • Awareness of event streaming concepts and technologies such as Apache Kafka, Azure Event Hubs, or AWS Kinesis

  • Familiarity with Azure and/or AWS cloud services, with a willingness to deepen your cloud skills across compute, storage, and serverless offerings

  • Working experience with .NET/C#, Angular, and SQL for building applications and data access layers

  • Good understanding of design patterns, SOLID principles, and object-oriented programming

  • Experience or exposure to Agile delivery practices (ideally Scrum)

  • Knowledge of TDD, Continuous Integration, and automation practices

  • Experience with CI/CD pipelines and version control (e.g., Git)

  • Ability to analyse designs and code and contribute constructive feedback

  • Strong communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders

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.

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BNY Mellonについて

BNY Mellon

BNY Mellon is a global investment company and one of the world's oldest banks, providing investment management and investment services to institutions, corporations and high-net-worth individuals. The company serves as a custodian for assets and provides treasury services, fund administration and other financial services.

10,001+

従業員数

New York City

本社所在地

$40B

企業価値

レビュー

4.0

31件のレビュー

ワークライフバランス

3.4

報酬

4.8

企業文化

3.9

キャリア

4.1

経営陣

3.5

78%

友人に勧める

良い点

Prestigious brand and networking opportunities

Excellent compensation and bonus structure

Exposure to complex financial systems

改善点

Work-life balance can be difficult

Legacy technology in some areas

High-pressure environment with strict deadlines

給与レンジ

28件のデータ

Junior/L3

L2

L3

L4

L5

L6

Mid/L4

Senior/L5

Junior/L3 · Associate Client Reporting Performance I

1件のレポート

$70,635

年収総額

基本給

$61,422

ストック

-

ボーナス

-

$70,635

$70,635

面接体験

8件の面接

難易度

3.0

/ 5

期間

21-35週間

体験

ポジティブ 0%

普通 75%

ネガティブ 25%

面接プロセス

1

Application Review

2

Online Assessment/Technical Screen

3

HR/Recruiter Screen

4

Technical Interview

5

Behavioral Interview

6

Final Round/Superday

よくある質問

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Culture Fit