Sr. Solutions Engineer

About Us

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.

Our solutions are used by leading Telecoms, Media Providers, Retail, and Professional Sports organizations across the world. Our novel approach and rapidly expanding footprint put us in the unique position for continued growth to become a category leader. To fuel our growth, we are seeking passionate, high-energy, results-oriented individuals to join our team.

Our mission is to deliver world-class solutions on behalf of the large enterprise. Supported by leading investors, Selector is uniquely positioned to deliver a world-class solution to address large enterprise requirements across the globe. 

Selector offers a discretionary PTO policy, health insurance, 401k, the opportunity for a bonus, and more.

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

• Master's degree or higher in a relevant field.


• Experienced in coding with Python, Ansible, and Go.


• Engineering background or 7+ years of relevant hands-on coding experience.


• Experienced with public cloud platforms such as AWS, GCP, and Azure.


• Hands-on experience with Docker, Kubernetes, 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 $140,000 - $180,000.  Final offer amounts are determined by multiple factors, including prior experience, and may vary from the amount listed.