DESCRIPTION:

Duties: Lead the execution of software solutions, design, development, and technical troubleshooting to build solutions or break down technical problems. Create secure and high-quality software and maintain 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. Proactively 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 Computer Science, Computer Engineering, Computer Information Systems, Management Information Systems, Information Technology, or related field of study plus 3 years of experience in the job offered or as Software Engineer or related occupation. The employer will alternatively accept a Bachelor's degree in Computer Science, Computer Engineering, Computer Information Systems, Management Information Systems, Information Technology, or related field of study plus 5 years of experience in the job offered or as Software Engineer or related occupation.

Skills Required: This position requires experience with the following: Design and development of systems and applications, ensuring they meet both functional and non-functional requirements; Creating robust architectures that support scalability and maintainability; Conducting comprehensive testing to ensure the stability and reliability of applications, using the following testing methodologies: automated testing, black-box testing, functional testing, manual testing, performance testing, regression testing, smoke testing, system integration testing, and unit testing; Developing, debugging, and maintaining code within large corporate environments, utilizing one or more modern programming languages; Writing clean, efficient, and well-documented code that adheres to industry standards; 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; Building distributed applications using the core Java Spring framework and developing RESTful microservices with Spring Boot, including designing microservices architectures that promote modularity and reusability; 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; Utilizing message brokers including Kafka to facilitate communication between distributed systems; Designing and implementing cloud architecture solutions using AWS Cloud Services, ensuring scalability, security, and cost-effectiveness; Applying best practices in application architecture to design systems that are robust, scalable, and maintainable; Leveraging tools and frameworks including Apache Kafka, Jenkins, Spring, Java, SQL, REST, Maven, JSON, Kubernetes, and Apache Zookeeper; Using Unix-based systems for development and deployment; Leveraging Unix commands and scripting to automate tasks and manage system resources efficiently; Using GIT for version control to manage code changes and collaborate with team members; Implementing continuous integration and deployment pipelines using Jenkins to automate the build and deployment process; Utilizing tools including Splunk for monitoring and logging to ensure applications are running smoothly and to quickly identify and resolve issues; Setting up dashboards and alerts to track system performance and application logs; Employing testing frameworks and tools including Cucumber and JUnit to automate testing processes and ensure high-quality software delivery; Performance tuning of cloud-based applications involved in data pipelines and testing frameworks in payment systems; AI/ML techniques with practical applications in payments; Working with leading-edge frameworks including Spring Integration, Kubernetes, and Elasticsearch to architect innovative, resilient solutions; and Working with big data and analysis using Apache Spark (MLlib, DataFrames, PySpark, Spark-Job-Scheduler). This position requires knowledge of the following: TensorFlow, Pandas, Scikit-learn, Weka Tool, and SARSOP (Markov Decision Processes).  

Job Location: 3223 Hanover Street, Palo Alto, CA 94304.

Full-Time. Salary:  $163,800 – $185,000 per year.