Lead Software Engineer: DevOps & Infrastructure
JPMorgan Chase7 hours ago
Responsibilities
- Design, develop, troubleshoot, and maintain secure, scalable software and production data solutions.
- Build and operate ETL/ELT pipelines using Python, SQL, distributed data-processing technologies, Databricks, Spark, Delta Lake, and lakehouse architecture.
- Develop high-quality production code, review and debug code written by others, and improve application operational stability.
- Identify and automate recurring remediation opportunities to improve system reliability and operational outcomes.
- Lead adoption of enterprise-authorized AI-assisted engineering practices, including validation standards for secure coding, testing, and code review.
- Evaluate vendor, startup, and internal technology solutions for architectural fit and applicability to existing systems.
- Guide peers on responsible, secure, and effective use of AI-assisted engineering tools.
Requirements
- Formal training or certification in software engineering concepts and at least 5 years of applied experience.
- Hands-on experience with system design, application development, testing, and operational stability.
- Experience designing, developing, and operating ETL/ELT data pipelines using Python, SQL, and distributed data-processing technologies.
- Strong knowledge of data warehousing, dimensional modeling, star and snowflake schemas, slowly changing dimensions, partitioning, and query optimization.
- Production experience with Databricks, Apache Spark or PySpark, Delta Lake, Lakeflow pipelines, Lakeflow Jobs, and lakehouse architecture.
- Knowledge of data governance, lineage, access controls, schema management, data quality, and production monitoring.
- Experience integrating relational databases, APIs, files, message streams, and cloud-based storage platforms.
- Experience developing, debugging, and maintaining software in a large corporate environment using modern programming and database query languages.
- Hands-on experience using enterprise-authorized AI-assisted software development tools and validating AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use, data sensitivity, secure handling of inputs and outputs, resiliency, secure software development, SDLC, Agile delivery, and CI/CD practices.
- Preferred experience with GitHub Copilot, Claude Code, prompt engineering, embeddings, RAG pipelines, operational copilots, chatbots, Databricks Unity Catalog, Structured Streaming, cloud data platforms, infrastructure-as-code, and deployment automation.
- Proficiency in Python; Go experience, Databricks certification, or equivalent production lakehouse experience is preferred.
Benefits
- Competitive total rewards package and role-based benefits eligibility.
- Comprehensive health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Eligible roles may receive commission-based pay or discretionary incentive compensation, including cash or forfeitable equity.
- Equal opportunity employer with reasonable accommodations for religious practices, mental health needs, and physical disabilities.
Tech Stack
Categories
Data Engineering
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.