We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Commercial & Community Banking, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities:
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- 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.
- Full Stack Application Development Develop and maintain front-end applications using modern JavaScript frameworks (e.g., React, Angular, or Vue.js), build robust backend services in Java and Python, and ensure seamless integration between UI layers, APIs, middleware, and data stores.
- AI/ML Model Development & Edge Deployment Build, train, fine-tune, and optimize AI/ML models using industry-standard tools and frameworks (e.g., PyTorch, TensorFlow, Hugging Face, ONNX, TensorRT). Package and deploy models for inference on edge devices with constrained compute resources, as well as in cloud-hosted backend environments. Manage the full model lifecycle including experimentation, versioning, evaluation, and monitoring.
- Cloud Infrastructure & Operations Leverage hands-on AWS expertise to provision, configure, and manage cloud infrastructure supporting data pipelines and model serving. This includes working with services such as EC2, S3, Lambda, ECS/EKS, SageMaker, Kinesis, IAM, CloudWatch, and related tooling. Ensure operational excellence through monitoring, alerting, cost optimization, and infrastructure-as-code practices.
- Data Pipeline Development & Integration Design, implement, and maintain scalable, fault-tolerant data pipelines that ingest, transform, and deliver data across distributed systems. Architect event-driven and streaming data flows using Apache Kafka and other messaging queue technologies to support real-time and near-real-time processing requirements.
- Collaboration & Technical Leadership Partner with data scientists, product managers, and platform teams to translate business requirements into technical solutions. Participate in architecture reviews, code reviews, and contribute to engineering best practices and standards.
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and 5+ years applied experience
- 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
- Programming Languages & Frameworks: Proficiency in JavaScript/TypeScript (including modern front-end frameworks), Java (Spring Boot or similar), and Python. Demonstrated ability to work fluidly across all three ecosystems.
- Data Streaming & Messaging: Strong experience with Kafka (producers, consumers, Kafka Streams, Connect, Schema Registry) and familiarity with other messaging systems (e.g., RabbitMQ, AWS SQS/SNS).
- AI/ML Model Development: Hands-on experience building and training machine learning models using frameworks such as PyTorch, TensorFlow, or JAX. Familiarity with model optimization and conversion tools for edge deployment (e.g., ONNX Runtime, TensorRT, TFLite, Core ML). Experience with experiment tracking tools such as MLflow or Weights & Biases.
- AWS Cloud Operations: Demonstrated hands-on experience operating production workloads on AWS, including provisioning infrastructure, managing deployments, troubleshooting issues, and implementing CI/CD pipelines in a cloud-native environment.
- Data Engineering: Experience building ETL/ELT pipelines and working with both structured and unstructured data at scale. Familiarity with tools such as Apache Spark, Airflow, or Step Functions is a plus.
- Software Engineering Practices: Strong foundation in version control (Git), containerization, orchestration, automated testing, and CI/CD tooling.
- Strong observability and reliability background (metrics/logs/traces, SLOs/SLIs, incident response, performance tuning, and root-cause analysis)
- Experience with Infrastructure-as-Code and policy-as-code (e.g., Terraform/CloudFormation, automated guardrails, secrets management)
- Familiarity with data governance and security practices in regulated environments (PII handling, encryption, IAM least privilege, secure SDLC)
- Experience building event-driven microservices and distributed systems patterns (idempotency, exactly-once/at-least-once tradeoffs, schema evolution, backpressure)
- Experience designing reliable event-driven and messaging queue architectures using SQS / KAFKA (DLQs, replay/backfill strategies, ordering guarantees, idempotency, and data retention/compaction)
About Company
Company
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.
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.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
