Sr Manager of Software Engineering

Next Frontier Capital; Mumbai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

JPMorganChase is seeking a Senior Manager of Software Engineering to lead multiple software teams, coach engineers, and drive AI-assisted development and SDLC automation. You will influence budgeting, strategy, and execution across the engineering teams to improve delivery speed and quality.

The role requires a strong background in cloud platforms (AWS), Java development, and enterprise tooling, with an emphasis on governance, security, and scalable practices.

Qualifications

• Formal training or certification in software engineering concepts and 5+ years applied experience.
• 2+ years leading technologists to manage and solve complex items in your domain.

Responsibilities

• Provide direction, oversight, and coaching for a team of software engineers.
• Accountable for decisions affecting resources, budget, and operational processes.
• Set and scale enterprise-wide AI-assisted engineering and SDLC automation practices across teams.

Skills

Leadership

Technical coaching

AI governance

Cloud AWS

Java

CI/CD

Security

Budgeting

Mentoring

Multi-team coordination

Education

Software engineering certification

Tools

AWS EKS

AWS ECS

CI/CD tooling

Code review tools

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 Asset and Wealth Management, 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. Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
• 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.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Experienced developer with a skillset that includes Java , AWS EKS, AWS ECS
• Formal cloud training or certification on software engineering concepts and applied experience. Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle. Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
• Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
• Experience with hiring, developing, and recognizing talent

Preferred qualifications, capabilities, and skills

• Experience working at code level (preferred)

Serve in a leadership role by providing technical coaching and advisory for multiple technical teams