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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer - **Company:** CDK Global, LLC - **Location:** Austin, TX, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Amazon Web Services, Amazon S3, Application Frameworks, Software Applications, Automation of Tests, Unit Testing, Cloud Engineering, Code Review, Databases, Computer Engineering, Continuous Delivery, Continuous Integration, Data Validation, Amazon DynamoDB, Fault Tolerance, Monitoring of Systems, Apache JMeter, Python (Programming Language), Load Testing, MongoDB, Node.Js, NoSQL, Amazon Simple Notification Service (SNS), Software Engineering, Software Requirements Analysis, SQL Databases, Data Processing, Performance Testing, Spring-boot, Backend, Amazon Relational Database Service, Blazemeter, Solid Principles, Kubernetes, Information Technology, Apache Kafka, Data Management, Cloudwatch, Api Gateway, Restful APIs, Amazon Simple Queue Service (SQS), Splunk, Data Pipelines, Api Management, Microservices - **Published:** June 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=704788e8c1ba32bd ## About the Role Do you have experience in Team leadership?, Do you have a Bachelor's degree?, This position requires a Bachelor's degree, or foreign equivalent, in Computer Science, Information Technology, Computer Engineering, Computer Applications, Applied Computer Science or related field. Plus 8 years of experience as a Software Developer or in an occupation involving Software Development. Additionally, the applicant must have professional experience with: (1) Using Java with Spring Boot to design and build scalable, highly available microservices that support complex business workflows and enterprise-scale platforms; (2) Using Python to develop data processing scripts, automation tools, and backend services, particularly for platform support, data validation, and operational workflows; (3) Using Apache Kafka platform to design event-driven architectures, build reliable data pipelines, manage schema evolution, and ensure ordered, scalable, and fault-tolerant message processing; (4) Using cloud-native design patterns and AWS services, including API Gateway, Lambda, SNS, SQS, S3, SSM, KMS, DynamoDB, and Cloud watch to build resilient, fault-tolerant applications and deploy secure, scalable solutions; (5) Using performance testing and load-testing tools, including JMeter and BlazeMeter, to validate system scalability, identify bottlenecks, and ensure platforms meet performance and reliability expectations; (6) Using observability and monitoring tools, including Splunk, and AppDynamic, to proactively detect production issues, perform root-cause analysis, and drive long-term system improvements; and (7) Providing technical direction, reviewing designs and implementations, acting as an SME for Kafka and data platforms, and enabling teams by creating reusable frameworks, shared libraries, and platform capabilities that improve consistency, quality, and delivery speed across the organization., Applicants must be legally authorized to work in the United States without the need for current or future employment-based visa sponsorship. ## Description Build and maintain scalable Restful APIs and communication with the down-stream systems using Java and Spring boot. Work with JavaScript, Node.js, Kafka, AWS. (API Gateway, Lambda, SNS, SQS, S3), Kubernetes, and cloud development. Collaborate with architects, designers, product owners, and other software engineers and work on shared libraries developed in Java. Analyze client requirements and translate system requirements to task specifications for junior engineers. Analyze system to improve design and performance. Conduct design reviews to ensure code developed meets coding standard methodologies guidelines, unit testing, security, and scalability and maintainability guidelines along with SOLID design principles. Review code and provide feedback relative to best practices and improve performance. Write automated tests for new and existing code and test and build CI & CD (continuous integration and continuous deployment). Provide technical leadership to and mentor fellow team members. Present technical API solutions to internal and external cross-functional teams. Work on critical production issues and conduct root cause analysis. Work with DBAs and design proper databases for the application using any of SQL, SQL Schemas, NoSQL environments; Amazon RDS, DynamoDB, Couch Base, MongoDB the database. 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