DescriptionWe 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 marketleading 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 firms 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 AIdriven workloads.
- Collaborate with frontend developers to integrate userfacing elements with serverside 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 highquality code.
- Work with database technologies to design and manage data storage solutions.
- Stay uptodate 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 cloudnative 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 finetuning large language models (LLMs) and optimizing inference.
- Experience with GraphQL.
- Understanding of LLM APIs such as OpenAI Cohere Anthropic or Meta AI.
- Familiarity with retrievalaugmented 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 JPMorganChases review of criminal conviction history including pretrial diversions or program entries.