Lead Software Engineer - Java/Python, Data Engineering
JPMorgan Chase & Co. (company site, opens in a new tab)5+ yrsHyderabadOn-siteDirect career pageEst. 30–45 LPA
Posted on 21 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead the development of secure, scalable data platforms supporting Global KYC and Risk Assessment at JPMorgan Chase.
- Own design and delivery of robust, reusable software frameworks and production code for data-intensive applications.
- Define engineering standards and architecture practices across teams, mentoring engineers and advising cross-functional teams.
Minimum Requirements
- 5+ years of applied experience with formal training or certification in software engineering.
- Expertise in Python and/or Java programming languages.
- Experience with large-scale data processing, microservices, API design, and cloud-native platforms (AWS, Azure, or GCP).
- Proficient with relational/NoSQL databases, data lake architectures, and tools like Kafka, Redis, Airflow, and observability tools (Dynatrace, Splunk, Grafana).
Ideal Candidate Profile
- Experienced in enterprise-scale system design, development, testing, and operational stability within data engineering domains.
- Demonstrates ability to communicate technical solutions effectively to senior leadership.
- Familiarity with modern data platforms (Databricks, Snowflake), big data technologies (Spark/PySpark), and AI/ML infrastructure (LLM orchestration frameworks, AWS Bedrock, Azure OpenAI).