Design, build, deploy, and maintain cloud-native AWS solutions focused on cost optimization. Develop scalable data pipelines, automation, and AI agents for analysis and recommendations. Define engineering standards, governance, and security controls. Collaborate with product and domain teams, monitor performance using CloudTrail/Splunk, and apply IaC and CI/CD practices to improve cloud efficiency and reliability.
As a Lead Cloud Software Engineer at JPMorganChase within the Cloud Financial Management organization, you design and build modern, cloud-native software solutions with a strong focus on cost optimization. This role is hands-on and requires advanced engineering skills to develop scalable services, data pipelines, and automation that improve cloud efficiency, governance, and performance. You will also apply AI skills and develop/manage AI agents that enable natural-language querying and analysis of large-scale cloud financial data. You will collaborate across teams to deliver best-in-class outcomes and accelerate cloud adoption throughout the firm.
Our team delivers comprehensive financial management solutions for optimizing cloud resource usage, cost efficiency, and performance. We focus on leveraging cloud technologies and AI to drive digital transformation and cloud adoption throughout the firm.
Job Responsibilities
- Design, build, test, deploy, and maintain cloud-native AWS solutions (S3, EC2, Lambda, Glue, Step Functions) focused on cost efficiency and optimized resource usage.
- Define and maintain engineering/architecture standards, cloud resource management practices, governance frameworks, and security/compliance controls.
- Build and operate reliable pipelines that enable cost optimization, data flow, and scalable processing.
- Develop an optimization and recommendation engine, including AI agents and AI-driven workflow automation for large-scale processing and cost improvements.
- Partner with Product Managers and domain leads to understand needs, provide best-practice guidance, and deliver training/support to domain teams.
- Monitor and optimize performance, reliability, and scalability; write/analyze Splunk queries on AWS CloudTrail to support monitoring, alerting, and security visibility.
- Use SDLC toolchain capabilities, including enterprise-authorized AI-assisted development and modern coding productivity tools, and stay current on cloud/software engineering trends.
- Promote a culture of diversity, opportunity, inclusion, and respect.
Required qualifications, capabilities, and skills
- Proficiency in Python and SQL, able to write maintainable code for data processing and analysis (experience with performance/scaling is a plus).
- Working knowledge of AWS and cloud-native design, with hands-on experience in several services such as S3, EC2, ECS, Lambda, Glue (depth in all is not required).
- Experience using enterprise-approved AI-assisted development tools for coding and delivery tasks (e.g., code review, testing, troubleshooting), with sound judgment on when/how to validate AI-generated outputs.
- Understanding of responsible AI use in engineering workflows, including secure handling of inputs/outputs and awareness of data sensitivity, resiliency, and security expectations.
- Familiarity with Data Lake / Big Data concepts and technologies; experience working with large datasets is preferred.
- Experience with infrastructure as code (Terraform preferred; similar tools acceptable) for provisioning and managing cloud resources.
- Ability to contribute to resilient systems with solid engineering fundamentals (code quality, testing, and CI/CD); deep expertise in all areas is not mandatory.
- Exposure to workflow automation and/or AI agent patterns that can query and analyze data securely (hands-on experience preferred, openness to learn acceptable).
- Experience building RESTful APIs and microservices; familiarity with React/TypeScript is a plus but not required.
- Ability to write or learn Splunk queries; prior experience analyzing AWS CloudTrail logs is preferred.
- Nice to have: experience with cloud cost optimization strategies, and building pipelines/engines for resource efficiency.
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.
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