Lead Software Engineer — Java, Spark, Kubernetes, AWS, Databricks

Are you ready to make a lasting impact by building and scaling mission-critical systems? At JPMorganChase, you will lead by example, shaping the future of data platforms and services. You’ll join a collaborative team that values innovation, technical excellence, and continuous learning. Your expertise will help us deliver resilient, high-performance solutions that power our business. Discover opportunities for growth and advancement as you drive best practices and mentor talented engineers.

Job Summary:

As a Vice President, Lead Software Engineer in our platform engineering team, you will architect, build, and scale data-intensive platforms and services. You will own the design and delivery of high-throughput, low-latency applications, mentor engineers, and drive best practices across cloud-native, batch, and streaming workloads. You will partner with cross-functional teams to translate requirements into secure, reusable APIs and services, ensuring compliance and operational excellence. Your leadership will help shape our technical direction and foster a culture of innovation.

Job Responsibilities:

• Lead architecture and end-to-end delivery of high-throughput, low-latency applications and data pipelines

• Design and implement resilient, observable, and cost-efficient microservices and data processing frameworks

• Build scalable Spark jobs on Databricks, optimize performance, and enforce coding standards

• Define and evolve platform engineering practices including CI/CD, infrastructure-as-code, and automated testing

• Drive Kubernetes-based runtime standards and enforce SRE/operability guardrails

• Partner with product, data, and platform teams to translate requirements into secure APIs, datasets, and services

• Mentor, coach, and conduct code/design reviews for engineers; set technical direction and uphold engineering excellence

• Champion cloud architecture on AWS, including networking, compute, storage, security, and cost governance

• Instrument systems with robust observability and implement runbooks, playbooks, and on-call readiness

• Ensure compliance with data governance, security standards, and regulatory requirements

• Enforce RBAC, encryption, and auditability across platforms

Required Qualifications, Capabilities, and Skills:

• Strong track record of delivering production systems in software engineering roles

• Expertise in Java (8+) with deep knowledge of concurrency, memory management, and performance tuning

• Advanced experience with Apache Spark and Databricks, including job optimization and Delta Lake patterns