4 Knative Jobs

You are a highly skilled Software Engineer (Backend) with 8+ years of experience in backend development. You have expertise in building cross-functional APIs, multi-platform applications, and a strong background in modern cloud technologies, containerization, and DevOps practices. Your technical skills and experience include strong hands-on experience in building and maintaining REST APIs, GraphQL, and serverless applications. You are proficient in Java, Quarkus, Python, JavaScript, and Kotlin. You have expertise in microservices architecture, including design, development, and deployment of microservices-based solutions. You have experience with cloud platforms such as AWS EC2, Azure AKS, and containerization technologies like Docker and Kubernetes. You are familiar with DevOps processes and tools like Jenkins, Git, and Ansible for continuous integration and deployment. Knowledge of KNative, Hasura, JWT, and Helm to support modern cloud-native application development is an added advantage. Your strong understanding of API security practices and best practices in scalable backend architecture will be essential in this role.,

As an AI Platform Engineer, you should have a minimum of 8 years of experience in the relevant field, with internships, prototypes, and personal projects not being considered. Proficiency in coding is essential, preferably in Python or Java. You should possess experience in DevOps Culture, including owning development and deployment processes end-to-end. Additionally, you should have hands-on experience in building or deploying solutions in the cloud, either using Cloud Native services like S3, Lambda, AWS Batch, and ECS, or Cloud Agnostic solutions such as Kubernetes services. Having experience in Continuous Integration and Continuous Deployment (CICD) is crucial, with familiarity in tools like Github Actions or Jenkins. Proficiency in Infrastructure as Code using Terraform is highly desirable. Moreover, you should have expertise in at least one of the following focus areas: 1. Big Data: Experience in building Big Data pipelines or platforms to process petabytes of data using technologies like Kafka, Debezium, Lakehouse (Hudi/Iceberg/Delta Lake), Spark, Glue, and EMR is preferred. 2. Graph Databases: Proficiency in ingesting and consuming data in Graph Databases like Neo4J, JanusGraph, or DGraph would be beneficial. 3. MLOps: Knowledge in infrastructure and operation, including technologies such as Kafka, KNative, KServe, Nvidia Triton, Ray Serve, MLflow, and Sagemaker, is advantageous. Your role as an AI Platform Engineer will involve leveraging your expertise in these areas to contribute to the development and deployment of cutting-edge AI solutions within a dynamic and innovative environment.,

You are a highly skilled Software Engineer (Backend) with 8+ years of experience in backend development. You excel in building cross-functional APIs, multi-platform applications, and have a solid background in modern cloud technologies, containerization, and DevOps practices. Your technical skills include expertise in building and maintaining REST APIs, GraphQL, and serverless applications. You are proficient in Java, Quarkus, Python, JavaScript, and Kotlin. Your experience extends to microservices architecture, encompassing design, development, and deployment of microservices-based solutions. You have worked with cloud platforms such as AWS EC2, Azure AKS, and containerization technologies like Docker and Kubernetes. Your familiarity with DevOps processes and tools like Jenkins, Git, and Ansible enables you to excel in continuous integration and deployment. Additionally, you possess knowledge of KNative, Hasura, JWT, and Helm to support modern cloud-native application development. Your strong understanding of API security practices and best practices in scalable backend architecture sets you apart in the field.,

You are a highly skilled Software Engineer (Backend) with 8+ years of experience in backend development. You should have expertise in building cross-functional APIs, multi-platform applications, and a strong background in modern cloud technologies, containerization, and DevOps practices. Your key responsibilities will include designing and developing REST APIs, serverless, and event-driven applications (FaaS). You will be responsible for owning the API technical implementation, collaborating with scrum teams to deliver high-quality features, and contributing to cross-functional API development and multi-platform application systems. Additionally, you will design and implement solutions with microservices architecture and collaborate with other teams to ensure integrated end-to-end design and delivery of projects. Your role will involve building scalable, robust, and highly available backend systems using Java, Quarkus, GraphQL, JavaScript, Python, and Kotlin. You will be expected to develop and maintain cloud-based infrastructure on platforms like AWS EC2 and Azure AKS, and utilize containerization technologies like Docker and Kubernetes for application deployment and orchestration. Implementing CI/CD pipelines using Jenkins, Git, and Ansible to streamline development and deployment processes will be part of your responsibilities. Furthermore, working with KNative, Hasura, JWT, and Helm to enhance the system architecture will be essential. In terms of technical skills & experience, you should possess 8+ years of experience in backend software development. Strong hands-on experience in building and maintaining REST APIs, GraphQL, and serverless applications is crucial. Proficiency in Java, Quarkus, Python, JavaScript, and Kotlin is required. Expertise in microservices architecture, including design, development, and deployment of microservices-based solutions is expected. Experience with cloud platforms (AWS EC2, Azure AKS) and containerization technologies (Docker, Kubernetes) is necessary. Familiarity with DevOps processes and tools like Jenkins, Git, Ansible for continuous integration and deployment is beneficial. Knowledge of KNative, Hasura, JWT, and Helm to support modern cloud-native application development is desirable. A strong understanding of API security practices and best practices in scalable backend architecture is also important.,