
Software Engineer III (Full Stack)
JPMC · Jersey City, NJ, United States
Strong hiring record · median 28 days open
Hiring signal
Actively hiring
Posted 4 days ago · still listed on the employer's own board · How we score
All reasons
- This role has been posted 6 times
In its favour
- Posted 4 days ago
- Still listed on the employer's own board
- Publishes a salary range
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the the Digital Banking division, 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
- Executes standard software solution, design, development, and technical troubleshooting
- Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
- 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
- Develop backend services using Java, Spring Boot, Spring WebFlux, Python, or comparable technologies.
- Contribute to user-interface development using React or another modern JavaScript framework when required.
- Build RESTful APIs and event-driven integrations using technologies such as Kafka.
- Write clean, maintainable, secure, and well-tested code that follows established engineering standards.
- Build and support workloads running on technologies such as AWS ECS, EKS, Fargate, Lambda, S3, DynamoDB, RDS, MSK, ElastiCache, and Amazon Bedrock.
- Develop applications using cloud-native design principles, including scalability, resiliency, fault tolerance, high availability, and automated recovery.
- Support containerized workloads using Docker and Kubernetes.
- Contribute to infrastructure-as-code solutions using tools such as Terraform, AWS CloudFormation, or equivalent technologies.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Strong programming skills in Java, Python, JavaScript, or another modern programming language.
- Hands-on experience developing and deploying applications on at least one major public-cloud platform, preferably AWS.
- Knowledge of generative AI, large language models, prompt engineering, embeddings, vector databases, AI agents, and retrieval-augmented generation.
- Ability to learn new technologies quickly and apply them to practical business and engineering problems
- Experience with AWS services such as ECS, EKS, Fargate, Lambda, S3, DynamoDB, RDS, MSK, ElastiCache, CloudWatch, IAM, API Gateway, and Amazon Bedrock.
- Experience with Java, Spring Boot, Spring WebFlux, Python, or React.
- 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 across the whole Software Development Life Cycle
- Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
- Familiarity with OpenAI-compatible APIs, Amazon Bedrock, LangChain, LangGraph, Semantic Kernel, or similar AI frameworks.rise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
- AWS Certified Cloud Practitioner, AWS Certified Developer – Associate, AWS Certified Solutions Architect – Associate, AWS Certified AI Practitioner, or an equivalent cloud certification.
Skills
- Java
- Spring Boot
- Spring WebFlux
- Python
- React
- JavaScript
- Kafka
- ECS
- EKS
- AWS Fargate
- AWS Lambda
- S3
- DynamoDB
- RDS
- AWS MSK
- ElastiCache
- Bedrock
- Docker
- Kubernetes
- Terraform
- AWS CloudFormation
- AWS
- Generative AI
- LLM
- Prompt Engineering
- Embeddings
- Vector Databases
- Retrieval-Augmented Generation
- AWS CloudWatch
- IAM
- API Gateway
- OpenAI
- LangChain
- LangGraph
- Semantic Kernel
More jobs at JPMC
All 2,780- Software Engineer III, Glass Liquidity and Cash ManagementJPMC · Singaporetoday
- Lead Software EngineerJPMC · Atlanta, GA, United Statestoday
- Data Scientist LeadJPMC · Bengaluru, Karnataka, Indiatoday
- Network Engineer IIIJPMC · Ciudad Autónoma de Buenos Aires, Argentina · Buenos Aires, Argentinayesterday
- Site Reliability Engineer IIJPMC · Tampa, FL, United Statesyesterday
Similar roles
- Security Systems Programmer | Access Control & CCTV SurveillanceD6756bd9-e2bb-4a9f-8ebf-9f2e8b50aab8 · Houston, TX, United States · USD 27–32/yrjust now
- Lead Software Engineer - HybridBb244608-e6f4-40bb-bc83-efdedb8af462 · San Francisco, CA, United States · USD 145,000–190,000/yrtoday
- Platform EngineerDario.Health · New York, NY, United Statestoday
- Sr. Applied AI Engineer, Life Science MarketsVi · United Statestoday
- Software Engineering Practice LeadJobgether · US · USD 220,000/yrtoday
- Software Engineer - AI Evaluation & AutomationHonorVet Technologies · San Diego, CAtoday