The Machine Learning Center of Excellence (MLCOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning.
As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector – AIML Data Platforms and Machine Learning Center of Excellence Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Design, develop, and maintain production-grade Python services and APIs.
- Architect and implement high-throughput, low-latency distributed systems in AWS environments.
- Build and manage scalable cloud-native applications leveraging Amazon EKS, ECS, MSK (Kafka), SQS, and S3.
- Develop reusable service frameworks, shared libraries, and modular application components.
- Design and implement infrastructure-as-code solutions using Terraform and CloudFormation.
- Create and maintain monitoring, alerting, and observability solutions utilizing Datadog, Dynatrace, and Splunk.
- Deploy and support applications in production environments while ensuring adherence to service-level objectives (SLOs) and service-level agreements (SLAs).
- Implement secure-by-design engineering practices, automated testing, and deployment strategies including blue/green and canary releases.
- Review code, provide architectural guidance, and mentor engineers on software engineering best practices.
- Collaborate with product managers, platform engineering teams, and site reliability engineers to deliver scalable business solutions.
- Drive adoption of enterprise-approved AI-assisted engineering practices to improve code quality, operational excellence, troubleshooting, and delivery efficiency.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Required qualifications, capabilities, and skills
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Advanced proficiency in Python programming, object-oriented design, and modular software architecture.
- Experience building and operating large-scale, high-performance cloud-native services within AWS environments.
- Hands-on experience with AWS technologies including EKS, ECS, MSK (Kafka), SQS, and S3.
- Strong experience implementing Infrastructure as Code (IaC) solutions using Terraform and/or CloudFormation.
- Expertise in designing, deploying, and supporting distributed systems in production environments.
- Experience with observability, monitoring, logging, and alerting platforms such as Datadog, Dynatrace, and Splunk.
- Strong understanding of API design, microservices architecture, and scalable system design patterns.
- Experience implementing automated testing, CI/CD pipelines, deployment automation, and secure software engineering practices.
- Demonstrated experience utilizing approved AI-assisted software development tools for coding, code review, testing acceleration, troubleshooting, and operational support.
- Strong understanding of responsible AI usage, application security, resiliency requirements, compliance standards, and mentoring engineers on engineering best practices.
Preferred qualifications, capabilities, and skills
- Strong knowledge of distributed systems reliability patterns, including resiliency engineering, self-healing architectures, backpressure management, and idempotency.
- Experience optimizing real-time and event-driven architectures at scale, particularly with Kafka-based messaging systems.
- Experience implementing end-to-end observability, automated operational runbooks, and proactive monitoring frameworks.
- Familiarity with CI/CD best practices, canary deployments, blue/green deployment strategies, and release automation within cloud environments.
- Familiarity with Generative AI and Large Language Model (LLM) technologies and experience building engineering solutions that leverage AI/LLM platforms.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Proficiency in Python coding
- Infrastructure design for large-scale machine learning model deployment using tools like Terraform or AWS Infrastructure as Code
- Building metrics and setting up AWS CloudWatch monitors and alarms for infrastructure and application performance
- Working with data lakes (Amazon S3) and data warehouses (AWS Redshift)
- Utilizing AWS services and CI/CD pipelines for deploying and maintaining machine learning applications
- Data manipulation, structuring, design flow, and query optimization using SQL and Python
- Processing large datasets with data containers, multithreading, and multiprocessing in PySpark and TensorFlow
- Using AWS Kinesis and Firehose for large-scale data ingestion and ETL with AWS Glue
- Demonstrated experience leading effective use of approved AI-assisted software development tools and setting team validation expectations
- Strong understanding of responsible AI use in engineering workflows and experience coaching engineers on safe, compliant adoption
- Familiarity with recent large language model technologies
- Familiarity with engineering systems using large language models
- Familiarity with LLM tools such as Langchain or Haystack
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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