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Preferred Skills
•Experience with containers and container orchestration platforms such as Docker and Kubernetes.
•Proficiency in or exposure to machine learning frameworks such as TensorFlow, PyTorch, MXNet, or PaddlePaddle.
•Hands-on experience with monitoring tools and methodologies (e.g., Prometheus, Grafana).
•Soft Skills: Strategic thinking, exceptional communication, and the ability to collaborate effectively with cross-functional teams in a fast-paced environment.
Technical Requirements
•Coding: Proficient in at least one high-level programming language (e.g., Python, Go, C++, or Java) and shell scripting. Strong understanding of data structures and algorithms.
•Systems: Strong understanding of Linux operating systems and open-source technologies and a solid understanding of network architecture.
•Databases: Competent knowledge of relational database systems and database modeling.
Responsibilities
Key Responsibilities and Accountabilities
•Design, build, and maintain highly available, scalable, and fault-tolerant systems. Collaborate with software engineering teams to ensure applications are designed with reliability and performance in mind.
•Develop and maintain automation procedures to maximize system efficiency, minimize human intervention, and optimize routine tasks.
Job ID: 148687507
Skills:
Oauth, Saml, Prometheus, Datadog, Okta, Jenkins, Docker, Terraform, Teamcity, Helm, Kubernetes, Python, AWS, Go, EKS, OpenTelemetry, GitHub actions, Ingress networking, cni
Skills:
Unix, Gcp, Linux, MySQL, Kubernetes, Redis, Python, AWS
Skills:
Java, C, Prometheus, Grafana, Javascript, Docker, Terraform, Linux, Ansible, Network, Splunk, Kubernetes, Python, Database
Skills:
Java, Shell, Terraform, Linux, Network, Ansible, Containers, Python, Database, Big Data Analytics, Container management systems
Skills:
containerization , Java, Golang, Linux System Administration, Monitoring Tools, Networking Concepts, Google Cloud, automation, Azure, Scripting, Python, AWS, SLIs, DevOps practices, cloud environments, performance optimization techniques, SLOs, SRE principles, infrastructure as code
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