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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Lead Software Engineer - Java & Databricks - **Company:** JPMorgan Chase & Co. - **Location:** Columbus, OH, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Software Applications, Big Data, Cloud Computing, Cloud Storage, Software Debugging, Python (Programming Language), Machine Learning, Software Engineering, Java Application Server, Apache Spark, Machine Learning Operations, Data Pipelines, Databricks, Programming Languages - **Published:** June 2, 2026 - **Apply:** https://dejobs.org/x/x/2BBB426598544159BB7E2E34BDEAEAB2/job/ ## About the Role * Formal training or certification in software engineering concepts, with 5+ years of applied experience in enterprise environments. * Hands-on practical experience delivering system design, application development, testing, and operational stability * Advanced in one or more programming language(s) Java, Python * Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, etc.) * Ability to tackle design and functionality problems independently with little to no oversight * Practical AWS cloud native experience Preferred qualifications, capabilities, and skills * Java development * AI agentic development * Databricks experience ## Description Be an integral part of a development team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products., As a Senior Lead Software Engineer at JPMorganChase within the Employee Experience, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications., * Lead the design and implementation of robust, scalable Java applications, leveraging advanced features and frameworks to optimize performance and maintainability. * Mentor team members in best practices for Java coding, testing, and debugging, ensuring high-quality code and adherence to industry standards. * Develop intelligent agent-based systems that autonomously perform complex tasks, leveraging machine learning and advanced AI techniques. * Collaborate with cross-functional teams to design, train, and deploy AI agents that enhance user experience and automate business processes. Build and optimize data pipelines on Databricks, utilizing Spark for large-scale data processing, analytics, and machine learning workflows. * Develop and maintain collaborative notebooks, integrating Databricks with cloud storage and enterprise data sources for real-time insights. * Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [What’s the Difference between a Junior, Mid, and Senior Developer?](https://www.wearedevelopers.com/magazine/238-what-s-the-difference-between-a-junior-mid-and-senior-developer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top 10 Java Libraries](https://www.wearedevelopers.com/magazine/364-top-10-java-libraries) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)