Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- 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.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Adds to team culture of diversity, opportunity, inclusion, and respect
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Proficient experience in system design, testing, and operational ownership
- Advanced Python and cloud-native engineering on AWS (e.g., IAM, VPC, KMS, CloudWatch)
- Proven delivery of production ETL/ELT pipelines (batch and/or streaming) on AWS using services such as AWS Glue, Amazon EMR, AWS Lambda, and orchestration via Amazon MWAA (Airflow) and/or AWS Step Functions
- Strong data engineering fundamentals: CDC/incremental processing, backfills, idempotency, late-arriving data handling, and schema evolution
- Data platform experience with AWS analytics and storage services (e.g., Amazon S3, Amazon Redshift, Amazon Athena, AWS Lake Formation/Glue Data Catalog) and streaming/messaging (e.g., Amazon Kinesis, Amazon MSK)
- Data reliability practices: data quality controls, monitoring/alerting, CI/CD for pipelines (e.g., CodePipeline/CodeBuild), performance & cost optimization, and security/governance compliance (e.g., CloudTrail, least-privilege access)
- 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
- Practical experience leveraging Large Language Models (LLMs) to accelerate advanced coding workflows
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 in software engineering concepts
- 5+ years of applied software engineering experience
- Experience with system design, testing, and operational ownership
- Advanced Python experience
- Cloud-native engineering experience on AWS, including IAM, VPC, KMS, and CloudWatch
- Production ETL/ELT pipeline delivery on AWS using batch or streaming technologies
- Experience with AWS Glue, Amazon EMR, AWS Lambda, and orchestration using Amazon MWAA/Airflow or AWS Step Functions
- Strong data engineering fundamentals, including CDC, incremental processing, backfills, idempotency, late-arriving data, and schema evolution
- Experience with AWS analytics and storage services such as S3, Redshift, Athena, Lake Formation, or Glue Data Catalog
- Experience with streaming and messaging technologies such as Amazon Kinesis or Amazon MSK
- Experience implementing data quality controls, monitoring, alerting, CI/CD, performance optimization, cost optimization, security, and governance
- Experience leading approved AI-assisted software development tools and validating AI outputs for correctness, performance, and security
- Understanding of responsible AI use, data sensitivity, secure input/output handling, resiliency, and security expectations
- Experience coaching engineers on safe and compliant AI-assisted development practices
- Practical experience using Large Language Models to accelerate coding workflows
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.
-
Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
-
Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
-
Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
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.
Gallery
