Solutions Engineer

Selector is building an operational intelligence platform for digital infrastructure. By adopting an AI/ML based analytics approach, the platform provides actionable multi-dimensional insights to network, cloud and application operators. It enables operations teams to meet their KPIs through seamless collaboration, search-driven conversational user experience and automated data engineering pipelines.

We are an early-stage startup and looking for strong solutions engineers to join us and help drive customer satisfaction.

Responsibilities

• 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;
• Sales engineering/Solutions Engineering background or 2+ 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;
• Experience with networks (e.g. Data Center, WAN, SD-WAN, Wifi, DNS/DHCP, Load Balancing)
• Familiarity with network analytics

Compensation

• The salary for this role is $155,000 - $165,000.  Final offer amounts are determined by multiple factors, including prior experience, and may vary from the amount listed.