JPMorgan Chase & Co.
Software Engineer [Multiple Positions Available]
JPMorgan Chase & Co., Palo Alto, California, United States, 94306
Description
Duties: Execute software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Create secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems. Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development. Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems. Identify hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.
Qualifications Minimum education and experience required: Master's degree in Engineering Science, Computer Science, Computer Engineering, Computer information Systems, Management Information Systems, Information Technology, Electrical Engineering, and Electronic Engineering or a related field plus 1 year of experience in the job offered or as Software Engineer, Software Development Engineer, Technology Analyst, or related occupation. The employer will alternatively accept a Bachelor's degree in Engineering Science, Computer Science, Computer Engineering, Computer information Systems, Management Information Systems, Information Technology, Electrical Engineering, and Electronic Engineering or a related field plus 3 years of experience in the job offered or as Software Engineer, Software Development Engineer, Technology Analyst, or related occupation.
Skills Required
Experience in applications using automated testing, black box testing, functional testing, manual testing, performance testing, regression testing, smoke testing, system integration testing, and unit testing
Experience in implementing Agile methodologies to enhance collaboration, flexibility, and efficiency in the software development process and participating in sprints, stand‑ups, and retrospectives to continuously improve the development workflow
Experience in building distributed applications using the core Java Spring framework; developing RESTful microservices with Spring Boot and designing microservices architectures
Experience in working with relational databases (RDBMS) and NoSQL databases including Cassandra, performing tasks including database design, querying, and optimization to ensure efficient data storage and retrieval
Experience in utilizing message brokers including Kafka to facilitate communication between distributed systems
Design and implement cloud architecture solutions using AWS Cloud Services, ensuring scalability, security, and cost‑effectiveness
Leveraging tools and frameworks Apache Kafka, Jenkins, Spring, Java, SQL, REST, Maven, JSON, Kubernetes, and Apache Zookeeper to design systems
Experience in using Unix‑based systems for development and deployment, leveraging Unix commands and scripting to automate tasks and manage system resources
Use GIT for version control to manage code changes
Implement continuous integration and deployment pipelines using Jenkins to automate the build and deployment process
Utilize Splunk for monitoring, logging, setting up dashboards and alerts to ensure smooth application performance and quick issue resolution
Employ testing frameworks and tools such as Cucumber and JUnit to automate testing processes and ensure high-quality software delivery
Experience in performance tuning of cloud‑based applications, especially in data pipelines and testing frameworks in payment systems
Experience in AI/ML techniques and technical knowledge in TensorFlow, Pandas, Scikit‑learn, Weka Tool, and SARSOP (Markov Decision Processes)
Experience in working with frameworks such as Spring Integration, Kubernetes, and Elasticsearch to architect innovative, resilient solutions
Experience in working with big data and analysis using Apache Spark (MLlib, DataFrames, PySpark, Spark‑Job‑Scheduler)
Job Location 3223 Hanover Street, Palo Alto, CA 94304.
Employment Full‑Time. Salary: $175,500 - $185,000 per year.
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Qualifications Minimum education and experience required: Master's degree in Engineering Science, Computer Science, Computer Engineering, Computer information Systems, Management Information Systems, Information Technology, Electrical Engineering, and Electronic Engineering or a related field plus 1 year of experience in the job offered or as Software Engineer, Software Development Engineer, Technology Analyst, or related occupation. The employer will alternatively accept a Bachelor's degree in Engineering Science, Computer Science, Computer Engineering, Computer information Systems, Management Information Systems, Information Technology, Electrical Engineering, and Electronic Engineering or a related field plus 3 years of experience in the job offered or as Software Engineer, Software Development Engineer, Technology Analyst, or related occupation.
Skills Required
Experience in applications using automated testing, black box testing, functional testing, manual testing, performance testing, regression testing, smoke testing, system integration testing, and unit testing
Experience in implementing Agile methodologies to enhance collaboration, flexibility, and efficiency in the software development process and participating in sprints, stand‑ups, and retrospectives to continuously improve the development workflow
Experience in building distributed applications using the core Java Spring framework; developing RESTful microservices with Spring Boot and designing microservices architectures
Experience in working with relational databases (RDBMS) and NoSQL databases including Cassandra, performing tasks including database design, querying, and optimization to ensure efficient data storage and retrieval
Experience in utilizing message brokers including Kafka to facilitate communication between distributed systems
Design and implement cloud architecture solutions using AWS Cloud Services, ensuring scalability, security, and cost‑effectiveness
Leveraging tools and frameworks Apache Kafka, Jenkins, Spring, Java, SQL, REST, Maven, JSON, Kubernetes, and Apache Zookeeper to design systems
Experience in using Unix‑based systems for development and deployment, leveraging Unix commands and scripting to automate tasks and manage system resources
Use GIT for version control to manage code changes
Implement continuous integration and deployment pipelines using Jenkins to automate the build and deployment process
Utilize Splunk for monitoring, logging, setting up dashboards and alerts to ensure smooth application performance and quick issue resolution
Employ testing frameworks and tools such as Cucumber and JUnit to automate testing processes and ensure high-quality software delivery
Experience in performance tuning of cloud‑based applications, especially in data pipelines and testing frameworks in payment systems
Experience in AI/ML techniques and technical knowledge in TensorFlow, Pandas, Scikit‑learn, Weka Tool, and SARSOP (Markov Decision Processes)
Experience in working with frameworks such as Spring Integration, Kubernetes, and Elasticsearch to architect innovative, resilient solutions
Experience in working with big data and analysis using Apache Spark (MLlib, DataFrames, PySpark, Spark‑Job‑Scheduler)
Job Location 3223 Hanover Street, Palo Alto, CA 94304.
Employment Full‑Time. Salary: $175,500 - $185,000 per year.
#J-18808-Ljbffr