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Lead Software Engineer- Back-end Engineer - Chase UK

JPMorgan Chase · Posted Nov 3

Global banking, investment, credit card, mortgage, and asset management services

Bengaluru, Karnataka, IndiaFull-timeHybridLead/Staff8+ years₹30.0L–₹45.0L yearly38 applicants
BankingFinancial ServicesInvestment BankingAsset ManagementCredit CardsPaymentsPublic Company
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About the role

Chase UK is JPMorgan Chase's digital banking initiative, building a bank of the future with intuitive customer journeys and a foundation of trust from millions of US customers. The International Consumer Bank team works across areas such as fraud and financial crime prevention, identity services, money transfers, card payments, lending, customer onboarding, core banking, insurance products, rewards campaigns, and servicing innovations. As a Lead Software Engineer- Back-end Engineer, the role involves delivering cloud-native microservices, applying domain modelling, building secure and scalable software, and supporting products through their lifecycle including production and incident management.

What you will do

  • Deliver end-to-end solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices
  • Use domain modelling techniques to allow us to build best in class business products.
  • Structure software so that it is easy to understand, test and evolve.
  • Build solutions that avoid single points of failure, using scalable architectural patterns.
  • Develop secure code so that our customers and ourselves are protected from malicious actors.
  • Promptly investigate and fix issues and ensure they do not resurface in the future.
  • Make sure our releases happen with zero downtime for our end-users.
  • See that our data is written and read in a way that's optimized for our needs.
  • Keep an eye on performance, making sure we use the right approach to identify and solve problems.
  • Ensure our systems are reliable and easy to operate and keep us up to date by continuously updating our technologies and patterns.
  • Support the products you've built through their entire lifecycle, including in production and during incident management
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • 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.

Skills used in this role

What the employer is looking for

  • Formal training or certification on software engineering concepts and applied experience
  • Recent hands-on professional experience as a back-end software engineer
  • Experience in coding in a recent version of the Java programming language
  • Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.)
  • Excellent written and verbal communication skills in English
  • Experience with cloud technologies and distributed systems, RESTful APIs and web technologies.
  • Knowledge of messaging frameworks.
  • Seasoned with operating, supporting and the security of mission critical software applications.
  • Understanding with different kinds of data stores (including relational data stores)
  • Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.
  • Manage stakeholders and effectively prioritize work across multiple work streams.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Preferred qualifications

  • Experience in working in a highly regulated environment / industry
  • Seasoned with cloud-native microservices architecture
  • Proficient with AWS cloud technologies

Benefits and support

  • Compensation and benefits are detailed in the job posting

About JPMorgan Chase

JPMorgan Chase & Co. is one of the oldest, largest, and most diversified financial services institutions in the world. Operating globally through the J.P. Morgan and Chase brands, the firm provides a comprehensive range of financial solutions including investment banking, consumer and commercial banking, transaction processing, and asset management. Serving millions of consumers and many of the world's most prominent corporate, institutional, and government clients, the company combines deep market expertise with extensive technological investments.

Industry
Banking
Company size
320000+ employees
Founded
1799
Location
New York, New York, USA
Funding stage
Public Company
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