Senior Manager of Software Engineering - Java, AWS, AI

JPMorgan Chase & Co.

Hyderabad

On-site

INR 3,500,000 - 6,000,000

Full time

2 days ago
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Job summary

JPMorganChase in Hyderabad seeks a Senior Manager of Software Engineering to lead multiple technical teams, coach engineers, and drive AI-assisted engineering initiatives across the SDLC. You will partner with architects and product managers to deliver scalable, secure solutions for high‑volume financial services workloads.

The role combines strong people leadership with budget awareness, and a track record of delivering reliable backend services on AWS using Java, Spring, microservices, Docker,

Qualifications

  • Formal training or certification in software engineering concepts with 5+ years of applied experience.
  • 2+ years of experience leading technologists to manage and solve complex technical items.
  • Experience leading multi-team adoption of enterprise-enabled AI-assisted development and delivery tools with governance and security.
  • Strong understanding of responsible AI use in engineering workflows and data sensitivity considerations.
  • Experience with hiring, developing, and recognizing talent.
  • Practical cloud native experience.
  • Demonstrated Java backend development, OO design, and common patterns.
  • Experience with AWS services (Aurora Postgres, ECS/Fargate, Glue/Airflow) and distributed services.
  • Strong problem-solving, attention to detail, and quick learning in a complex domain.
  • Solid communication across engineering and product teams.

Responsibilities

  • Provide 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 secure, reusable patterns.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including 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.
  • Follow and promote strong engineering practices (code reviews, CI/CD, testing, observability, documentation) and collaborate with product managers to translate requirements into technical deliverables.
  • Support security and compliance requirements by applying secure coding practices and adhering to banking standards and regulatory expectations.

Skills

Java backend development
Spring Framework
Microservices
AWS cloud
Docker
Kubernetes
SQL
GitHub Copilot
Design Patterns
CI/CD
GIT

Tools

Git
PostgreSQL
Aurora Postgres
ECS/Fargate

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)
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