We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Lead Backend 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.