JP Morgan Chase

Runs a consumer bank and an investment bank

Senior Manager of Software Engineering - Java, Aws, AI

Engineering LeadershipUpdated on Nov 5

Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

Formal training or certification in software engineering concepts and at least 5 years of applied experience.
At least 2 years of experience leading technologists to manage and solve complex technical items within the domain of expertise.
Experience leading teams of technologists and guiding and coaching teams to achieve goals aligned with strategic initiatives.
Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance and ways of working, human-in-the-loop validation, quality gates, measuring outcomes, and ensuring secure handling of sensitive inputs and outputs.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency and security implications, and control expectations; ability to coach managers and leads and influence leaders on safe scaling patterns.
Experience with hiring, developing, and recognizing talent.
In-depth knowledge of the services industry and its IT systems.
Practical cloud-native experience.
Demonstrated experience with Java backend development, object-oriented design, and common design patterns.
Experience with AWS, such as 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.
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 working on basic to moderately complex tasks.
Make decisions that influence teams’ resources, budget, tactical operations, and execution and implementation of processes and procedures.
Set and scale operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establish measurable expectations such as throughput, defect reduction, and reliability; and ensure consistent validation, security, resiliency, and reuse of proven patterns.
Apply 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.
Ensure successful collaboration across teams and stakeholders; identify and mitigate issues to execute a book of work and escalate issues as necessary.
Provide input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team.
Develop and enhance Java-based backend services to support high-volume transaction processing.
Build and operate solutions using AWS services, such as Aurora Postgres, ECS/Fargate, and EC2 as applicable, focusing on scalability, reliability, and performance.
Contribute to solution design by partnering with senior engineers and architects and participating in design reviews to ensure implementations align with technical standards and business needs.
Use AI-assisted coding tools, such as approved GitHub Copilot, to improve development efficiency, testing, and code quality.
Follow and promote engineering practices including code reviews, CI/CD, testing, observability, and documentation, and continuously improve the codebase.
Collaborate with product managers and stakeholders to clarify requirements and translate them into technical deliverables.
Support security and compliance requirements by applying secure coding practices and adhering to Community Banking standards and applicable regulatory expectations.

Desired Qualifications

Financial services and/or connected commerce experience.
Familiarity with AI-assisted coding tools, such as Copilot, subject to confirmation that the tool is approved for the environment.
Experience working at code level.

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 enhance Java-based backend services to support high-volume transaction processing. Build and operate solutions using AWS services (e.g., Aurora Postgres, ECS/Fargate, EC2 as applicable) with a focus on scalability, reliability, and performance.
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 (e.g., GitHub Copilot, where approved) 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. Collaborate with product managers and stakeholders to clarify requirements and translate them into technical deliverables. Support security and compliance requirements by 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 with Java backend development, object-oriented design, and common design patterns.
Experience with AWS (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)

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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