Join us and shape the future of risk technology with your expertise in data engineering and software development. You will have the opportunity to push boundaries, innovate, and make a meaningful impact on our business. We value diversity, inclusion, and respect, fostering a collaborative environment where your ideas matter. Experience career growth and mobility while working with market-leading technology products. Be part of a team that thrives on creativity and continuous improvement.As a Lead Software Engineer at JPMorgan Chase within the Data Platform & Strategy team within Corporate Risk Technology, you will design, build, and enhance advanced data engineering solutions. You will play a pivotal role in delivering secure, stable, and scalable technology products that support our business objectives. You will collaborate with agile teams, contribute to technical strategy, and drive innovation across multiple technical areas. Your work will help shape the team culture and the impact of our technology solutions.Job ResponsibilitiesExecute creative software solutions, design, development, and technical troubleshooting to solve complex problemsDevelop secure, high‑quality production code for data‑intensive applications and review code written by othersIdentify opportunities to automate remediation of recurring issues and improve operational stabilityLead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentialsDrive communities of practice across Software Engineering to promote new and leading‑edge technologiesFoster a team culture of diversity, opportunity, inclusion, and respectRequired Qualifications, Capabilities, and SkillsProficiency in Engineering & Architecture, AI/ML, with hands‑on experience designing, implementing, testing, and ensuring operational stability of large‑scale enterprise data platformsAdvanced skills in one or more programming languages such as Java, Python, C/C++, or C#Practical experience delivering system design, application development, testing, and operational stabilityWorking knowledge of relational and NoSQL databases and data lake architecturesExperience developing, debugging, and maintaining code with modern programming languages and database querying languagesExperience in large‑scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal)Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life CycleAdvanced understanding of agile methodologies, CI/CD, application resiliency, and securityPractical cloud‑native experiencePreferred Qualifications, Capabilities, and SkillsExperience with modern data technologies such as Databricks or SnowflakeHands‑on experience with Spark/PySpark and other big data processing technologiesDemonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobileKnowledge of the financial services industry and their IT systems #J-18808-Ljbffr