Lead Software Engineer- Backend Engineer with GenAI and Cloud
Company: JPMorgan Chase & Co.
Location: Palo Alto
Posted on: April 2, 2026
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Job Description:
Description We have an exciting and rewarding opportunity for
you to take your software engineering career to the next level. As
a Lead Software Engineer at JPMorgan Chase within the Commercial &
Investment Bank, Payments Technology, you serve as a seasoned
member of an agile team to design and deliver trusted
market-leading technology products in a secure, stable, and
scalable way. You are responsible for carrying out critical
technology solutions across multiple technical areas within various
business functions in support of the firm’s business objectives.
Job Responsibilities: Design, develop, and maintain scalable and
efficient backend systems and APIs. Develop and maintain APIs and
microservices to facilitate AI model interactions. Optimize
database structures and data pipelines for AI-driven workloads.
Collaborate with frontend developers to integrate user-facing
elements with server-side logic. Optimize applications for maximum
speed and scalability. Implement security and data protection
measures. Implement scalable cloud solutions for AI model
deployment using platforms such as AWS, GCP, or Azure. Conduct code
reviews, testing, and debugging to ensure high-quality code. Work
with database technologies to design and manage data storage
solutions. Stay up-to-date with the latest AI/ML research and
backend engineering best practices. Required Qualifications,
Capabilities, and Skills: Formal training or certification in
software engineering concepts with 5 years of applied experience.
Proven experience in backend development using languages such as
Java, Go, or Python. Familiarity with authentication and
authorization frameworks, including OAuth, JWT, SAML, and OPA
(policy as code). Solid understanding of agile methodologies,
including CI/CD, application resiliency, DevSecOps, and security.
Knowledge of web protocols and standards, such as HTTP, REST, and
gRPC, and cloud-native technologies like EnvoyProxy. Experience
with cloud computing platforms, including AWS, Azure, or Google
Cloud. Experience with Generative AI frameworks, such as
TensorFlow, PyTorch, Hugging Face, or OpenAI APIs. Experience
deploying and managing AI models on cloud platforms like AWS, GCP,
or Azure. Proficiency in containerization and orchestration using
Docker and Kubernetes. Preferred Qualifications, Capabilities, and
Skills: Experience with containerization technologies, including
Docker and Kubernetes. Experience with fine-tuning large language
models (LLMs) and optimizing inference. Experience with GraphQL.
Understanding of LLM APIs, such as OpenAI, Cohere, Anthropic, or
Meta AI. Familiarity with retrieval-augmented generation (RAG) and
LangChain architectures. Familiarity with vector databases, such as
FAISS, Pinecone, or Weaviate, is a plus. Experience with MLOps
tools, such as MLflow or Kubeflow, is a plus. FEDERAL DEPOSIT
INSURANCE ACT: This position is subject to Section 19 of the
Federal Deposit Insurance Act. As such, an employment offer for
this position is contingent on JPMorganChase’s review of criminal
conviction history, including pretrial diversions or program
entries.
Keywords: JPMorgan Chase & Co., San Francisco , Lead Software Engineer- Backend Engineer with GenAI and Cloud, IT / Software / Systems , Palo Alto, California
