Senior Manager of Software Engineering - API Marketplace
JPMorgan
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6,853 open engineering roles across 701 companies are on ApplySarthi right now, most of them in Bengaluru (351), Hyderabad (133), Mumbai (52).
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What engineering roles keep asking for: Python (22%), AWS (21%), Observability (14%), System design (14%), CI/CD (12%) — counted across their open postings here.
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JPMorgan has 7,183 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
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Interviews for engineering roles keep coming back to Python, AWS, Observability, System design. Practise those questions before you sit with JPMorgan.
Questions you are likely to be asked
- Why do you want to join JPMorgan?
- What is your experience with Agile? Tell me one thing you learned the hard way.
- How would you design an API for a feature you have worked on?
- What do you do when a production issue happens on your code?
- Walk me through a system you built. How was it designed, and what would you change now?
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Practise the Senior Manager of Software Engineering - API Marketplace at JPMorgan interview free →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 Manager of Software Engineering at JPMorganChase within Consumer and Community Banking - API Marketplace , you manage day-to-day implementation activities by identifying and escalating issues and ensuring your team’s work adheres to compliance standards, business requirements, and tactical best practices. Job responsibilities Provides guidance to immediate team of software engineers on daily tasks and activities Coach and mentor engineers on the team on practical uses of AI, and how to responsibly use tools (agents, skills, models) available to them Sets the overall guidance and expectations for team output, practices, and collaboration Anticipates dependencies with other teams to deliver products and applications in line with business requirements Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements Creates a culture of diversity, opportunity, inclusion, and respect for the team members and prioritizes diverse representation. Leads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation and support capacity unlock initiatives. 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 multiple teams; ability to guide and coach on achieving goals aligned to strategic initiatives and regulatory timelines. Proficient in automation and continuous delivery methods. Proficient in all aspects of the Software Development Life Cycle. Experience in agile methodologies such as CI/CD, Application Resiliency, and Security. In-depth knowledge of the financial services industry and their IT systems. Practical cloud native experience. Deep expertise in core Java, Spring Boot, J2EE, messaging systems (MQ), Oracle, Postgres, Kafka and Apache Iceberg. Proven experience in designing distributed applications and implementing Agile methodologies. Experience with Selenium for test automation. Demonstrated ability to debug complex systems and drive technical discussions independently. Experience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams, including defining ways of working (review/validation expectations), measuring outcomes, and ensuring secure handling of data. Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and governance expectations; ability to coach engineers on compliant and effective usage. Preferred qualifications, capabilities, and skills Preferred working at code level Preferred building skills, and agent tooling for AI workstreams Exposure to full software development lifecycle in large-scale systems, preferably within the financial industry.
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Listed on oraclehcm · posted 2026-11-05. ApplySarthi collects openings and links to application pages; the role is advertised by JPMorgan, not by us.