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As an Experienced Software Engineer at JPMorganChase within the Corporate Technology team, you will be a key member of an agile team, responsible for designing and delivering the trusted, market-leading data platforms and infrastructure that our products and teams depend on, in a secure, secure, and scalable manner. In this role, you will build and operate the foundational data platform components like ingestion, processing, storage, and access layers, that enable analytics, machine learning, and application workloads across the firm. You will leverage a mix of Python and Java, alongside big data technologies such as Spark and Databricks, to accelerate and harden our data ecosystem.

Job responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Designs, develops, and operates scalable data platform services and pipelines, and produces secure and high-quality production code,



while reviewing and debugging code written by others
- Drives decisions that influence data platform architecture, application functionality, and technical operations and processes
- Serves as a function-wide subject matter expert in one or more areas of focus (e.g., distributed data processing, data storage, platform reliability)
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Leads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and au

📌 Lead Software Engineer (Bengaluru)
🏢 JPMC
📍 Bengaluru