Senior Manager of Software Engineering - Java, AWS, AI

JPMorgan Chase & Co.; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

JPMorgan Chase & Co. in Hyderabad seeks a Senior Manager of Software Engineering to lead a team of engineers, provide technical coaching, and steer AI-assisted development initiatives.

You will collaborate with senior engineers and product teams to deliver scalable backend services on AWS, with a focus on reliability and performance. The role requires strong leadership, cloud-native experience, and excellence in designing and implementing Java-based microservices and enterprise patterns.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise.
• Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working and measuring outcomes.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations and security implications.
• Experience with hiring, developing, and recognizing talent.
• In-depth knowledge of the services industry and their IT systems.
• Practical cloud native experience.
• Demonstrated experience with Java backend development, object-oriented design, and common design patterns.
• Experience with AWS (Aurora Postgres, ECS/Fargate, Glue and/or Airflow) and building distributed services.
• Strong problem-solving skills, attention to detail, and ability to learn quickly in a complex domain.
• Solid communication skills and ability to collaborate effectively across engineering and product teams.

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 and ensures 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.
• 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.
• Contribute to solution design by partnering with senior engineers/architects and participating in design reviews to ensure implementations align with technical standards and business needs.
• Use AI-assisted coding tools to improve development efficiency, testing, and code quality.
• Follow and promote strong engineering practices (code reviews, CI/CD, testing, observability, documentation) and continuously improve the codebase.

Skills

Team leadership

Java backend development

Spring / Spring Boot

Microservices

Docker

Kubernetes

AWS

CI/CD

Secure coding practices

Design patterns

SQL / Oracle RDBMS

AI-assisted development tools

Education

Formal software engineering certification

Tools

Kafka

Cassandra

GitHub Copilot

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
• Java, Spring, Spring Boot, Micro Services, Web Services SOAP/ReST, SQL, Oracle RDBMS, Design Patterns, Java Messaging, Cloud Foundry, Domain Driven Design, Event Driven Architecture, Docker, Kubernetes, No SQL, Kafka, Cassandra, Test Driven Development
• Develop and enhanceJava-based backend services to support high-volume transaction processing. Build and operatesolutions using AWS services (e.g., Aurora Postgres, ECS/Fargate, EC2 as applicable) with a focus on scalability, reliability, and performance.
• Contribute to solution designby partnering with senior engineers/architects and participating in design reviews to ensure implementations align with technical standards and business needs.
• Use AI-assisted coding tools(e.g., GitHub Copilot, where approved) to improve development efficiency, testing, and code quality.
• Follow and promotestrong engineering practices (code reviews, CI/CD, testing, observability, documentation) and continuously improve the codebase. Collaborate with product managers and stakeholdersto clarify requirements and translate them into technical deliverables. Support security and compliance requirementsby applying secure coding practices and adhering to Community Banking standards and applicable regulatory expectations

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.
• Experience with hiring, developing, and recognizing talent
• In-depth knowledge of the services industry and their IT systems
• Practical cloud native experience.
• Demonstrated experience withJava backend development, object-oriented design, and common design patterns.
• Experience withAWS(e.g., Aurora Postgres, ECS/Fargate, Glue and/or Airflow) and building distributed services.
• Strong problem-solving skills, attention to detail, and ability to learn quickly in a complex domain.
• Solid communication skills and ability to collaborate effectively across engineering and product teams.

Preferred qualifications, capabilities, and skills

• Financial services and/or connected commerce experience is a plus, but not required.
• Familiarity with AI-assisted coding tools (e.g., Copilot) is a plus(confirm tool approval for your environment before use).
• Experience working at code level (preferred)