Data Software Engineer

You are a Series-B startup that is building an operational intelligence platform for digital infrastructure using an AI/ML based analytics approach. The platform provides actionable multi-dimensional insights to network, cloud, and application operators, enabling operations teams to meet their KPIs through seamless collaboration, search-driven conversational user experience, and automated data engineering pipelines. **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 the 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 the sales team and partners for pre-sales activities. - Own design, development & execution plans for POC and lead to the 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.,