Senior Lead Software Engineer — AI & Data Platforms

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City is seeking a Senior Lead Software Engineer to join the Corporate Technology Data Strategy & Architecture organization.

You will work in an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, scalable way. You will perform hands-on development for data-intensive applications, drive end-to-end design, mentor engineers, and advance AI-enabled workflows with governance, observability, and secure coding practices across

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on experience building and shipping LLM-based applications and agentic systems with tool use, memory, and multi-step reasoning in production environments.
• Advanced proficiency in one or more programming languages, particularly Python and/or Java.
• Deep experience with large-scale data processing, microservices, API design, and event streaming (Kafka).
• Working knowledge of relational and NoSQL databases, vector stores, and data lake architectures.
• Experience with caching technologies (Redis, MemCached), observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal).
• Proficiency in CI/CD, test-driven development, automation, and all aspects of the Software Development Lifecycle.
• Strong understanding of agile methodologies, application resiliency, and security best practices.
• Practical cloud-native engineering experience (AWS, Azure, or GCP).
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment with clear validation of AI outputs.

Responsibilities

• Develops secure, high-quality production code for data-intensive applications and platforms, and reviews and debugs code written by others
• Leads end-to-end design and implementation of complex software features, from requirements through deployment and operational stability
• Drives technical decisions that influence application design, functionality, performance, and reliability
• Builds and maintains agentic AI systems, including multi-agent workflows, tool-use integrations, and human-in-the-loop controls appropriate for regulated financial services environments
• Implements LLM-based applications including RAG pipelines, embedding workflows, vector store integrations, and model serving infrastructure
• Owns observability, evaluation, and safety of production AI systems — including prompt monitoring, output validation, cost tracking, and latency optimization
• Identifies and executes opportunities to automate remediation of recurring issues and improve operational stability
• Executes creative software solutions, including design, development, and technical troubleshooting to solve complex and ambiguous problems
• Mentors and coaches junior and mid-level engineers, conducting code reviews and sharing engineering best practices
• Contributes to firmwide frameworks, tools, and SDLC practices as an engaged member of the engineering community
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes, while establishing measurable validation standards and promoting reuse of proven patterns
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities

Skills

Python

Java

LLM systems

Agentic systems

Kafka

CI/CD

Cloud computing

Data streaming

Observability

Tools

Databricks

Snowflake

Spark

Redis

Memcached

Dynatrace

Splunk

Grafana

Airflow

Temporal

Job description

JPMorgan Chase & Co. in Jersey City is seeking a Senior Lead Software Engineer to join the Corporate Technology Data Strategy & Architecture organization.

You will work in an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, scalable way. You will perform hands-on development for data-intensive applications, drive end-to-end design, mentor engineers, and advance AI-enabled workflows with governance, observability, and secure coding practices across