Sr Manager Of Software Engineering

JPMorganChase; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

JPMorganChase in Bengaluru seeks a Senior Manager of Software Engineering to mentor multiple teams and guide AI-enabled development and automation initiatives. The role emphasizes leadership across APIs, microservices, and cloud-native platform engineering, with accountability for budget and delivery outcomes.

The position requires significant experience in enterprise software design, strong collaboration, and governance of modern development tools and practices.

Qualifications

• Formal training or certification in software engineering concepts.
• 5+ years applied experience; 2+ years leading technologists.

Responsibilities

• Provide direction, oversight, and coaching for a team of engineers.
• Make decisions influencing resources, budget, and processes.
• Set operating practices for AI-assisted engineering and automation.
• Guide use of SDLC tools and reusable technology assets.
• Foster collaboration across teams and stakeholders.
• Identify and mitigate issues to deliver the book of work.
• Advise leadership on budget, approach, and technical considerations.

Skills

Team leadership

Software architecture depth

Cloud-native engineering

AI-assisted development

SDLC automation

Budget and resource planning

Tools

AWS

Azure

Kubernetes

Job description

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 onAWS 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

Requirements: