Sr Manager of Software Engineering- Java, AWS

JPMorgan Chase Bank; Bengaluru; On-site; INR 2,500,000 - 6,000,000; Full time

Job summary

JPMorgan Chase Bank is seeking a Senior Manager of Software Engineering within Consumer and Community Banking in Bengaluru. Lead multiple technical teams, provide technical coaching, and influence budget and technical decisions to advance operational efficiencies and functionalities.

The role emphasizes enterprise-authorized AI-assisted development, cloud-native platform engineering, and cross-team collaboration to deliver high-quality software at scale.

Qualifications

• 5+ years of software engineering experience with leadership responsibility.
• 2+ years experience leading technologists to solve complex technical items.
• Practical cloud-native experience on AWS/Azure and containerization.
• Experience with enterprise AI-assisted development governance and quality gates.

Responsibilities

• Provide direction, oversight, and coaching for a team of engineers.
• Manage resources, budget, and execution of processes.
• Set operating practices for AI-assisted engineering and SDLC automation; establish measurable outcomes.
• Apply SDLC tools to drive efficiency and capacity unlock initiatives across teams.
• Ensure collaboration across teams and stakeholders; escalate issues as needed.
• Provide input to leadership on budget, approach, and technical considerations.

Skills

Team leadership

Cloud-native architectures

API & microservices design

AI-assisted development governance

SDLC automation & tooling

Education

Formal software engineering certification

Tools

AWS

Azure

Job description

When you mentor and advise multiple technical teams and move financial technologies forward, it s a big challenge with big impact. You were made for this.

As a Senior Manager of Software Engineering at JPMorganChase within the Consumer and Community Banking, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.

Job responsibilities

• Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
• Accountable for decisions that influence teams resources, budget, tactical operations, and the execution and implementation of processes and procedures
• Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets.
• Ensures successful collaboration across teams and stakeholders
• Identifies and mitigates issues to execute a book of work while escalating issues as necessary
• Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise.
• Experience leading teams of technologists and Distributed systems & architecture depth: strong system design across APIs, microservices and/or event-driven architectures, data stores, and resiliency patterns; sound scalability / latency / fault-tolerance / consistency tradeoffs.
• Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives and Cloud-native & platform engineering: practical experience building on AWS and/or Azure, including containerization and platform capabilities that enable reusable patterns.
• Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns.
• Experience with hiring, developing, and recognizing talent
• In-depth knowledge of the services industry and their IT systems
• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
• Familiarity with API and Micro services frameworks, Container Technologies, and workflow

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.