We are seeking a highly experienced Senior Backend Java Engineercombined with Data and Machine learning experience with a minimum of 8 years of industry experience. The ideal candidate will be an independent contributor, self-driven, and possess excellent communication and collaboration skills. This role requires close interaction with the Research team and Product Managers to bring machine learning models into production.
Requirements:
Collaborate and Integrate: Work closely with the Research team and Product Managers to understand requirements and translate them into robust backend solutions. Ensure seamless integration of machine learning models into production environments.
Design and Development: Architect, design, and develop distributed, scalable, and high-performance software solutions. Apply best practices in software engineering to ensure code quality, reliability, and maintainability.
Proactive Issue Resolution: Take initiative to identify potential issues and proactively resolve them. Ensure the robustness and reliability of the backend systems through continuous monitoring and improvement.
Operability Measures: Implement and maintain operability measures such as logging, monitoring, alerting, and debugging. Ensure that systems are always running smoothly and any issues are quickly addressed.
DevOps Practices: Embrace DevOps methodologies to streamline the development and deployment process. Utilize CI/CD pipelines and build tools like Maven and Gradle to ensure efficient and reliable software delivery.
Performance Optimization: Continuously analyze and optimize the performance of backend systems. Ensure that applications can handle high volumes of traffic and data efficiently.
Documentation and Best Practices: Create and maintain comprehensive documentation for the backend systems and processes. Share best practices with the team and contribute to a culture of continuous improvement.
Must Have:
Proficiency in Java: Demonstrable expertise in Java programming, with a deep understanding of its ecosystem and best practices.
Experience in Distributed Systems: Proven experience in designing, developing, and maintaining distributed, scalable, and high-performance software. Ability to handle complex system architectures.
Machine Learning and Big Data: Practical knowledge of machine learning algorithms and big data technologies. Experience with Hadoop, Oozie, Pig, Hive, HBase , Vertex AI and AutoML along with machine learning frameworks( TensorFlow, PyTorch) and libraries (e.g., scikit-learn)
Collaboration and Communication: Strong ability to work collaboratively with cross-functional teams, including researchers and product managers. Excellent communication skills to effectively convey technical concepts and ideas.
Proactivity: Ability to take initiative and be proactive in identifying and resolving issues. Strong problem-solving skills and a can-do attitude.
Operability Experience: Experience with implementing and maintaining operability measures such as logging, monitoring, alerting, and debugging. Ensuring system health and reliability.
DevOps Practices: Familiarity with DevOps practices, CI/CD pipelines, and build tools like Maven and Gradle. Experience with automation and continuous integration.
Performance Optimization: Ability to analyze and optimize system performance. Ensuring applications can handle high volumes of traffic and data efficiently.
Containerization: Knowledge of containerization technologies such as Kubernetes (K8S) and Docker. Experience with container orchestration and management.
GCP Vertex AI: Experience with Google Cloud Platform (GCP) Vertex AI. Ability to leverage cloud-based tools and services for machine learning and data processing.
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.
