Manager Of Software Engineering - Java Python Databases AI

JPMorgan Chase & Co.; Bengaluru; Presencial; INR 4 200 000 - 7 200 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Restaurant d'entreprise

Resumo da oferta

JPMorgan Chase & Co. in Bengaluru is seeking a Manager of Software Engineering to lead multiple teams and drive day-to-day implementation activities, ensuring compliance, business requirements, and best practices are met.

You will guide the design, development, and delivery of secure production code, while advancing AI-assisted engineering practices and SDLC automation across teams to improve speed and quality. Strong leadership and governance awareness are essential.

Qualificações

• Formal training or certification on software engineering concepts.
• 5+ years of applied experience in software engineering.
• Hands-on experience delivering system design, development, testing, and operational stability.
• Strong programming in Java and Python.
• Experience leading AI-assisted development adoption with governance and security considerations.

Responsabilidades

• Executes creative software solutions, design, development, and troubleshooting with the ability to think beyond routine approaches.
• Develops secure production code and reviews code written by others.
• Leads adoption of AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed and quality.
• Applies knowledge of SDLC tools and AI-assisted development to improve automation and capacity unlock initiatives.
• Identifies opportunities to automate remediation to improve stability of software applications and systems.
• Leads evaluation sessions with external vendors and internal teams on architectural designs and applicability.

Conhecimentos

Java

Python

Agile methodologies

CI/CD

AI-assisted development concepts

System design

Operational stability

Governance & security considerations

Formação académica

Formal training or certification on software engineering concepts

Ferramentas

SDLC toolchain

AI-assisted development tools

Descrição da oferta de emprego

Job Description:

This is your chance to change the path of your career and guide multiple teams to success at one of the worlds leading financial institutions. As a Manager of Software Engineering at JPMorganChase within the Chief technology Office team, you lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team’s work adheres to compliance standards, business requirements, and tactical best practices.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Leads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation and support capacity unlock initiatives.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands‑on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) like Java, Python
• Experience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams, including defining ways of working (review/validation expectations), measuring outcomes, and ensuring secure handling of data.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and governance expectations; ability to coach engineers on compliant and effective usage.
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Hands on experience in Full stack Development
• Knowledge of the financial services industry and their IT systems preferred.
• Practical cloud native experience