Senior Streaming Engineer (GCP)
United States - Remote
Requirements:
- Driven and self-motivated to thoroughly clarify problem statements and develop well-structured plans to effectively solve challenges.
- Proficiency in Java with solid experience in asynchronous programming paradigms, including a strong understanding of API futures and the ability to implement asynchronous APIs for scalable solutions.
- Hands-on experience with reactive programming techniques, focusing on non-blocking data flow and real-time data handling.
- Ability to design, debug, and optimize concurrent processes within distributed systems.
- Adopt a proactive problem-solving approach by thoroughly analyzing problem statements, anticipating corner cases, and devising a comprehensive solution plan prior to coding. Begin coding with a clear algorithmic strategy to ensure efficient and effective solutions.
- Expertise in public cloud services, particularly in GCP.
- Experience in building reusable and reliable code for stream and batch processing systems at scale.
- Experience with GCP managed services and understanding of cloud-based messaging/stream processing systems (e.g., Data Proc, Cloud Composer, GCS, DataFlow).
- Experience in Infrastructure and Applied DevOps principles, including CI/CD and IaC (e.g., Terraform).
- Knowledge in containerization technologies like Docker and Kubernetes to enhance scalability and efficiency.
- Ability to tackle complex challenges and devise effective solutions, using critical thinking and innovative approaches.
- Proven ability to work effectively in a remote setting, maintaining strong written and verbal communication skills.
- Proven experience in engineering stream/batch processing systems at scale.
- Strong programming abilities in Java and Python.
- Hands-on experience with public cloud platforms, particularly GCP. Experience with other cloud technologies is a plus.
Must Have:
- Strong experience with Java-based frameworks and libraries for building scalable data processing and streaming applications.
- Strong Java 11-17 experience.
- Dataflow (Managed Apache Beam).
- Pub/Sub.
- Google Associate Cloud Engineer Certification or other Google Cloud Professional level certification.
- 4+ years of experience in customer-facing software/technology or consulting.
- 4+ years of experience with “on-premises to cloud” migrations or IT transformations.
- 4+ years of experience building and operating solutions on GCP (ideally) or AWS/Azure.
- Technical degree in Computer Science, Software Engineering, or related field.
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About Rackspace TechnologyWe are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future. More on Rackspace TechnologyThough we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
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Job Profile
Must be in specific states for pay transparency
Benefits/PerksDiscretionary payments Variable Compensation
Tasks- Build reusable and reliable code
- Design and develop scalable data processing solutions
- Implement automation/devops best practices
- Security
Applications Asynchronous Programming Automation AWS Azure Big Data CD CI CI/CD Cloud Messaging Cloud Services Cloud Technologies Communication Dataflow DevOps Distributed Systems Docker Flink GCP Google Cloud Hadoop Hive IaC Infrastructure Java Kafka Kubernetes Oozie Pig Problem-solving Public Cloud Pub/Sub Python Reactive Programming Spark Stream processing Terraform
Experience4 years
EducationBusiness Computer Science Engineering Related Related Field Software Engineering
CertificationsGoogle Associate Cloud Engineer Google Cloud Professional Level Certification
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9