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. Youll 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
• Hands-on experience with Kubernetes (EKS or equivalent) deploying microservices and service-to-service networking
• Proficiency in AWS services including IAM VPC EC2/EKS S3 Lambda Step Functions and CloudWatch
• Experience with CI/CD tools infrastructure-as-code and containerization
• Solid data engineering fundamentals including partitioning schema evolution and data quality frameworks
• Practical knowledge of observability stacks distributed tracing and production troubleshooting
• Excellent communication and leadership skills
• Ability to influence architecture and guide teams through complex technical decisions
• Commitment to compliance and security standards

Preferred Qualifications Capabilities and Skills:

• Experience with Databricks Workflows/Jobs Unity Catalog and Delta Live Tables
• Familiarity with API design (REST/gRPC) messaging (Kafka/Kinesis) and streaming topologies
• Security-first mindset with experience in secrets management and compliance controls
• Background in financial services or other highly regulated environments
• Exposure to Python/Scala for Spark and SQL performance tuning