Senior Manager of Software Engineering – Java, Distributed Platforms & AI/Agentic Engineering

Posted An Hour Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Leads multiple software engineering teams within infrastructure platforms, providing technical direction, coaching, budget and delivery oversight. Drives adoption of enterprise SDLC frameworks, AI-assisted engineering, automation, governance, security, and reliability practices. Guides Java-based distributed platform design, REST APIs, workflow orchestration, observability, resiliency, storage, and data-transfer solutions. Partners with SRE and stakeholders to manage risks, improve operational efficiency, develop talent, and deliver cloud-native and AI-enabled capabilities.
Summary Generated by Built In

Join us to shape the future of financial technology through impactful leadership and technical guidance. Advance your career by mentoring teams and influencing innovative solutions.
As a Senior Manager of Software Engineering at JPMorgan Chase within the Infrastructure Platforms, 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 direction, oversight, and coaching for entry-level to mid-level software engineers delivering basic to moderately complex work, while fostering a culture of opportunity and respect.
  • Own accountability for key decisions impacting resources, budget, tactical operations, and process implementation; provide input to leadership on budget, approach, and technical considerations to improve efficiency and functionality.
  • Advocate and drive adoption of firmwide SDLC frameworks, tools, and practices, ensuring consistent execution and continuous improvement across teams.
  • Ensure effective collaboration across teams and stakeholders, aligning priorities, expectations, and delivery outcomes.
  • Identify, mitigate, and escalate risks/issues as needed to successfully execute a defined book of work.
  • Set and scale operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams—establishing measurable expectations (e.g., throughput, defect reduction, reliability) and enforcing validation, security, resiliency, and reuse of proven patterns.
  • Apply SDLC toolchain expertise (including enterprise-authorized AI-assisted development and automation) to drive efficiency and capacity-unlock initiatives, prioritizing reuse of existing firm technology assets.
  • Lead technical design and delivery of modern Java-based platforms and self-service solutions—partnering with SRE to embed observability, reliability, resiliency, automation, and controls; guiding API design, workflow orchestration (including agentic solutions), production readiness, and solutions spanning file/block/object storage and data-transfer technologies.
  • 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.
  • 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.
 
 
 
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
  • Minimum of 10 years of experience leading software teams
  • Hands-on expertise in Java and related enterprise frameworks, including Spring and Spring Boot, with experience designing and supporting RESTful APIs and distributed services.
  • Ability to guide and coach teams to achieve strategic goals
  • Practical experience delivering system design, application development, testing, and operational stability
  • 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
 
Preferred qualifications, capabilities, and skills
 
  • Experience building and operating AI-assisted engineering workflows & AIOps
  • Hands-on experience delivering LLM-enabled features (e.g., natural-language query, guided troubleshooting, intelligent self-service) including: RAGs & agentic workflows
  • Experience building cloud native solutions such as AWS
 

Skills Required

  • Formal training or certification in software engineering concepts
  • 5+ years of applied software engineering experience
  • 2+ years leading technologists in solving complex technical problems
  • 10+ years of experience leading software teams
  • Hands-on expertise in Java and enterprise frameworks including Spring and Spring Boot
  • Experience designing and supporting RESTful APIs and distributed services
  • Experience guiding and coaching teams toward strategic goals
  • Experience delivering system design, application development, testing, and operational stability
  • Experience leading adoption of enterprise-authorized AI-assisted development and delivery tools
  • Experience defining AI engineering governance, human-in-the-loop validation, quality gates, outcome measurement, and secure handling of sensitive inputs and outputs
  • Understanding of responsible AI use in engineering workflows, data sensitivity, resiliency, security, and controls
  • Experience hiring, developing, and recognizing talent
  • Experience building and operating AI-assisted engineering workflows and AIOps
  • Hands-on experience delivering LLM-enabled features, RAG, and agentic workflows
  • Experience building cloud-native solutions such as AWS

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
  • Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
  • Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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