As a Senior Lead Software Engineer at JPMorganChase within the Digital Communications Compliance team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
- Design and develop scalable, fault-tolerant microservices and APIs that support rule-based and ML-based detection pipelines
Model and implement supervision and reviewer workflows using state machines - Build streaming and batch data pipelines that ingest, index, and enrich communications content and alerts
- Design data models on Databricks for surveillance, search, retention, and life cycle management at scale
- Develop and optimize large-scale batch and streaming data pipelines using Databricks, Apache Spark, and Delta Lake
- Build robust unit, integration, and performance tests following Test-Driven Development. Leverage Databricks Workflows, notebooks, and CI/CD pipelines to automate data processing and deployments. Troubleshoot and tune Databricks jobs, clusters, and data pipelines for efficiency and performance
Drive adoption of Databricks best practices for data engineering, software engineering, observability, and platform operations - Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Partner with product management and compliance SMEs to monitor and improve alert accuracy and reliability. Proactively identify hidden problems and patterns in communications data to improve detection quality
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Expertise in building resilient, scalable, enterprise-grade cloud-native products, with strong exposure in compliance for the financial industry
- Hands-on Databricks experience including development of production workloads using Spark, Delta Lake, and Databricks Workflows. Expert Java/Kotlin and Python programmer with experience building headless, externally consumable APIs. Experience building cloud-native microservices for streaming and batch architectures using Spark and/or Flink
- Proficient with AWS services including EC2, ECS, EKS, EMR, S3, and Glacier. Hands-on with Semantic search, Kafka, and PostgreSQL. Experience integrating and operationalizing ML/LLM models and pipelines in production. Experience with observability and monitoring tools such as Prometheus, Grafana, and OpenTelemetry
- Experience building CI/CD pipelines using ArgoCD, Helm, Terraform, Jenkins, and GitHub Actions
- Prior experience in Test-Driven Development, delivering products with well-defined SLI/SLO/SLAs
- Strong ownership mentality with excellent communication skills and a collaborative mindset. Experience mentoring engineers and providing technical leadership at a senior level
- Exposure to Unity Catalog, and Databricks Workflows
- Exposure to building and optimizing large-scale batch and streaming data pipelines in cloud-native environments
- Understanding of distributed systems, data engineering best practices, and operationalizing data and ML workloads in production
Skills Required
- Formal training or certification in software engineering concepts and 5+ years of applied experience
- Hands-on experience delivering system design, application development, testing, and operational stability
- Experience building resilient, scalable, enterprise-grade cloud-native products
- Strong exposure to financial-industry compliance
- Production Databricks experience with Spark, Delta Lake, and Databricks Workflows
- Expert Java or Kotlin and Python programming experience
- Experience building headless, externally consumable APIs
- Experience building cloud-native microservices for streaming and batch architectures using Spark or Flink
- Proficiency with AWS EC2, ECS, EKS, EMR, S3, and Glacier
- Hands-on experience with semantic search, Kafka, and PostgreSQL
- Experience integrating and operationalizing ML or LLM models and pipelines in production
- Experience with Prometheus, Grafana, and OpenTelemetry
- Experience building CI/CD pipelines using ArgoCD, Helm, Terraform, Jenkins, and GitHub Actions
- Experience with Test-Driven Development and products using defined SLI, SLO, and SLA targets
- Excellent communication, collaboration, ownership, mentoring, and senior-level technical leadership skills
- Exposure to Unity Catalog
- Exposure to large-scale batch and streaming data pipeline optimization in cloud-native environments
- Understanding of distributed systems, data engineering practices, and production data and ML operations
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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