As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking organization, we have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
Job Responsibilities:
- Design and implement CI/CD pipelines, infrastructure-as-code (IaC) frameworks, and container orchestration strategies leveraging tools such as Kubernetes, Docker, Terraform, and Spinnaker, while utilizing AI-driven automation to streamline deployment and management across cloud and on-premises environments.
- Lead the architecture, deployment, and management of cloud infrastructure in AWS, establishing and enforcing best practices for reliability, scalability, security, and cost optimization across all cloud environments.
- Drive the adoption of AI and machine learning capabilities within DevOps workflows, including intelligent monitoring, predictive analytics, and automated remediation, while evaluating and integrating AI-powered tools to continuously improve development velocity, system reliability, and operational efficiency.
- Lead the integration of intelligent agents for workflow automation, decision-making, and process optimization.
- Develop AI-powered observability solutions to monitor, analyze, and proactively manage application and infrastructure health, automating alerting, root cause analysis, and incident response using advanced ML techniques.
- Work closely with cross-functional teams including engineering, product, and operations to identify automation opportunities and deliver impactful solutions.
- Stay abreast of emerging AI/ML technologies, frameworks, and industry trends, driving continuous improvement by evaluating and implementing new tools, methodologies, and approaches.
- Provide hands-on technical guidance to a team of software and DevOps engineers, fostering a culture of innovation, accountability, and continuous learning.
- Conduct code reviews, architectural assessments, and design discussions to uphold engineering excellence.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years in AI/ML engineering, with proven expertise in agent-based systems and automation.
- Strong experience in automating IAC development (e.g., Terraform, Ansible, CloudFormation) using AI/ML.
- Deep understanding of observability tools (e.g., Prometheus, Grafana, ELK stack) and automation using AI/ML.
- Proficiency in Python, Java, or similar programming languages; experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Excellent problem-solving, communication, and collaboration skills.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Skills Required
- Formal training or certification in software engineering and 5+ years in AI/ML engineering with proven expertise in agent-based systems and automation
- Experience automating IaC development using AI/ML (e.g., Terraform, Ansible, CloudFormation)
- Deep understanding of observability tools (e.g., Prometheus, Grafana, ELK stack) and AI/ML-driven automation
- Proficiency in Python, Java, or similar languages and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
- Demonstrated experience leading use of AI-assisted software development tools and establishing validation expectations for AI outputs
- Strong understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs, and coaching engineers on safe, compliant adoption
- Excellent problem-solving, communication, and collaboration skills
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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