We are looking for a motivated and experienced Senior Developer to join our Cloud and K8s Group. The successful candidate will possess a strong technical background in Kubernetes and different cloud environments, and will excel in developing advanced k8s-related features. Proficiency in NodeJS (Typescript), MongoDB, Kubernetes, Docker, and data queues is essential for this role, as you will be instrumental in refining our cloud CTEM offering.
Key Responsibilities:
Design and implement advanced k8s-related features to enhance our existing offerings.
Streamline deployment processes and ensure system reliability by demonstrating expertise in Kubernetes and Docker.
Develop modular and scalable solutions while leveraging microservices and jobs architecture.
Utilize advanced data processing techniques with tools such as Spark , Flink, written in Scala to improve system performance.
Contribute to the enhancement of system reliability at scale through hands-on experience with large-scale applications.
Develop attack techniques for K8S, cloud and AI technologies.
Requirements:
Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
Minimum of 5 years of experience in software development, with a strong focus on cloud technologies.
Familiarity with at least one cloud platform (GCP, AWS, Azure).
Familiarity with Kubernetes is a big advantage.
Familiarity with networking concepts.
Proficient in Scala (Or alternatively Java, Kotlin), NodeJS (Typescript), Kubernetes, Docker, and data queue technologies (Kafka/RabbitMQ/SQS).
Understanding of microservices and jobs architecture.
Experience with data processing frameworks such as Flink, Spark is a big advantage.
Experience working on large-scale applications is an advantage.
Knowledge of cybersecurity principles and practices is a plus.
Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
Minimum of 5 years of experience in software development, with a strong focus on cloud technologies.
Familiarity with at least one cloud platform (GCP, AWS, Azure).
Familiarity with Kubernetes is a big advantage.
Familiarity with networking concepts.
Proficient in Scala (Or alternatively Java, Kotlin), NodeJS (Typescript), Kubernetes, Docker, and data queue technologies (Kafka/RabbitMQ/SQS).
Understanding of microservices and jobs architecture.
Experience with data processing frameworks such as Flink, Spark is a big advantage.
Experience working on large-scale applications is an advantage.
Knowledge of cybersecurity principles and practices is a plus.
This position is open to all candidates.
