Data Software Engineer

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January 8

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Selector

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Artificial Intelligence • Security • Enterprise

Selector is a leading company specializing in AIOps and network observability technology. By leveraging advanced AI and machine learning algorithms, Selector aims to eliminate downtime and enhance network resilience for the world's largest digital infrastructures. Its comprehensive platform includes solutions for analytics, synthetic monitoring, and device health analytics, providing operations teams with critical insights and automated incident management capabilities. The company’s offerings help reduce Mean Time to Repair (MTTR) and ticket volume, leading to improved system availability and productivity levels.

51 - 200 employees

🤖 Artificial Intelligence

🔐 Security

🏢 Enterprise

💰 $28M Series A on 2022-03

📋 Description

• Be a technical expert on Selector’s operational analytics solution for networks, applications & security workflows; • Take a hands-on role in the integration of product to meet customer requirements; • Deploy Selector’s solution at customers, including understanding their data, workflow & analytics requirements; • Ensure that customers are adequately enabled for use, understanding & self serve extensions of Selector’s capabilities; • Collaborate with sales team and partners for pre-sales activities; • Own design, development & execution plans for POC, and lead to completion of deployment; • Improve the product features and quality through enhancement proposals and customer reviews.

🎯 Requirements

• Bachelor’s degree or higher in a relevant field; • Experienced in coding with Python, Ansible, and Terraform; • Experienced in database technologies; • 3+ years of relevant hands-on coding experience; • Experienced with public cloud platforms such as AWS, GCP, and Azure; • Hands-on experience with Docker, Kubernetes, AWS CloudFormation Templates, and YAML; • Experienced with designing SQL queries to extract, validate, and analyze data using Jupyter notebook; • Strong communication and comprehension skills, both verbal and written; • Familiarity with data analytics