Lead Software Engineer - Solution Engineer (Consumer & Community Banking)

JPMorgan Chase & Co.
Jersey City, NJ, United States
20 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Computer-Aided Design Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Automation of Tests Software Quality Code Review Continuous Integration Data Validation Data Infrastructure Information Leak Prevention
+28 more
Data Stores Software Debugging Graph Database Identity and Access Management Machine Learning Oracle (Applications) Systems Development Life Cycle Secure Coding Software Engineering Data Streaming Systems Integration Strategies of Testing TigerGraph Feature Store Cloud Platform System Apache Spark AI Coding Agents Apache Flink Cassandra Production Code Apache Kafka Graphql Spark Streaming Api Design Stream Processing Code Restructuring Sql Tuning Programming Languages

Job description

Be an integral part of an agile team that’s constantly pushing the envelope to enhance, build, and deliver top-notch technology products., As a Senior Lead Software Engineer at JPMorganChase within the Consumer and Community Banking’s technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications., * Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors

  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
  • Own end-to-end architecture and solutioning for Trust & Security data and integration capabilities (from concept POC reference architecture production-ready design), including target-state roadmaps and migration paths.
  • Design and implement real-time streaming solutions using Kafka, including reliability patterns (ordering, idempotency, replay, DLQs), scalability, and operational readiness; define and enforce data contracts and governance patterns, including schema registry strategy, schema evolution/compatibility, ownership, validation, and freshness/quality expectations.
  • Build data publishing patterns to the lake / analytical platform, supporting both streaming and batch use cases with strong observability, data quality checks, lineage/metadata hooks, and access controls.
  • Lead solution engineering for services and pipelines in Java, producing secure, high-quality production code; reviewing and debugging code written by others.
  • Architect and model data stores for fit-for-purpose needs across: Cassandra (partitioning, performance and consistency tradeoffs, resiliency patterns) and Oracle (schema design, SQL performance fundamentals, integration patterns)
  • Design service interfaces and integrations using REST and GraphQL, including clear API/error contracts, SLAs/SLOs, and backward-compatible change practices.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.

Requirements

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s)/framework : Java, Kafka, Spark, Flink
  • Proven experience combining data architecture and solution engineering in large-scale, production environments.
  • Hands-on experience with: Kafka (design and implementation) , Publishing data to a lake / data platform (streaming and/or batch), Cassandra and Oracle and ava (services, pipelines, streaming/processing components)
  • Experience with schema registry / data contract design and governance.
  • Experience building APIs/integrations using REST and GraphQL.
  • Strong SDLC discipline (CI/CD, testing strategy, code review, production support mindset, observability).
  • Ability to work independently with little-to-no oversight; strong problem-solving and rapid learning ability
  • Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls., * Domain familiarity in Trust & Security areas such as fraud, IAM, device trust, cyber signals, third-party risk, and data loss prevention.
  • Experience with stream processing frameworks (e.g., Kafka Streams, Flink, Spark Streaming) and real-time enrichment/correlation patterns; nice to have: AI/ML concepts and feature store patterns (e.g., online/offline consistency, feature publishing/consumption).
  • Practical cloud-native experience (particularly AWS-based ecosystems) and platform modernization efforts.
  • Track record of driving reuse-first patterns and setting engineering standards across teams with no direct people management.
  • Experience with graph databases; TigerGraph preferred.

Benefits & conditions

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

About the company

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role., Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs., Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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