Java Backend SDET - Remote Opportunity with Relocation Support
About the Role
Join our team as a Java Backend SDET to build robust backend systems and lead testing automation with DevOps integration. This is an exciting opportunity for a Java Backend SDET remote position where you will be instrumental in developing and optimizing automation frameworks using Java.
What You'll Do
- Develop and optimize automation frameworks using Java with strong Data Structures (DS) knowledge.
- Design and implement CI/CD pipelines, DevOps practices, and Kubernetes (K8s) deployments.
- Lead test automation efforts with tools such as Selenium, JUnit, and TestNG.
- Integrate and manage TSDB, Redis, and Airflow for monitoring and orchestration.
- Collaborate on Big Data components including HDFS, Spark, Impala, Hive, and ETL processes.
- Administer PostgreSQL databases and work with VictoriaMetrics.
Requirements
- 10+ years of strong Java proficiency with Data Structures concepts.
- Experience with CI/CD, DevOps, and Kubernetes.
- Hands-on automation experience with Selenium, JUnit, and TestNG.
- Familiarity with TSDB, Redis, and Airflow.
Nice to Have
- Experience with Big Data technologies: HDFS, Spark, Impala, Hive.
- ETL development experience.
- PostgreSQL database administration skills.
- Experience with VictoriaMetrics.
What We Offer
- Competitive salary ranging from $120,000 to $150,000 annually.
- Relocation support to help you move and settle in your new role.
- Comprehensive benefits package including health insurance and PTO.
- Opportunities for professional development and career advancement.
- Flexible working conditions with remote work options.
This Java Backend SDET position offers a strong salary, relocation support, and the chance to work with cutting-edge technologies in a collaborative environment.
Who Will Succeed Here
Proficiency in Java development with hands-on experience in building automation frameworks using Selenium, JUnit, and TestNG, ensuring a strong focus on code quality and best practices.
Strong understanding of DevOps principles, particularly with Kubernetes for container orchestration and Airflow for workflow management, enabling seamless integration of testing processes into CI/CD pipelines.
Experience with big data technologies such as HDFS and Spark, along with a solid grasp of database management using PostgreSQL and caching strategies with Redis, fostering a data-driven approach to backend testing.
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