Senior Software/Solutions Engineer

Selector Software•Santa Clara, CA

4d•$150,000 - $185,000

About The Position

Selector is building an operational intelligence platform for digital infrastructure. Its AI/ML-based analytics platform provides actionable, multi-dimensional insights to network, cloud, and application operators, helping operations teams meet KPIs through collaboration, conversational search, and automated data engineering pipelines. This backend-heavy role focuses on solving complex data and systems problems and delivering production work in customer environments. The engineer will build and maintain ETL pipelines, data models, and integrations that power Selector's platform, apply agentic AI workflows to infrastructure data, and provide technical leadership and mentorship. The role also involves working directly with customers to understand their data and environments and translate technical concepts into solutions suited to high-stakes infrastructure. The salary range is $150,000–$185,000. Final offer amounts depend on factors including prior experience and job location and may vary from the stated range.

Requirements

Bachelor's degree or higher in Computer Science, Engineering, or a related field.
3–7 years of professional experience in a technical or engineering role, including experience owning systems end-to-end.
Strong Python coding skills and deep experience building ETL pipelines and working with complex data structures.
Demonstrated technical leadership, such as leading projects, mentoring engineers, or setting technical direction, with or without a formal title.
Solid working knowledge of public cloud platforms such as AWS, GCP, or Azure.
Hands-on experience with containerization technologies such as Docker and Kubernetes.
Strong SQL skills for data extraction and analysis.
Experience with or strong interest in agentic AI workflows and applying them to real-world engineering problems.
Strong verbal and written communication skills and experience working in a customer-facing environment.
Solid understanding of networking concepts such as data center, WAN, and DNS/DHCP.
Self-starter attitude and ability to thrive in a fast-paced, collaborative environment.

Nice To Haves

Exposure to Ansible or Go.
Familiarity with Jupyter notebooks.

Responsibilities

Design, write, and maintain production-grade Python or Go code for ETL pipelines, data models, and platform integrations.
Apply agentic AI workflows to automate data engineering, correlation, and root-cause analysis across complex infrastructure data.
Provide technical leadership on architecture and design decisions and set technical direction for backend systems and integrations.
Mentor and guide junior and mid-level engineers, review code, and help raise the team's technical bar.
Build backend logic that connects Selector's platform to customer data sources, APIs, and existing tooling.
Work directly with customers to understand data structures, workflows, and analytics requirements and translate them into technical solutions.
Lead hands-on integration and deployment of Selector's platform to meet customer requirements in partnership with sales and customer teams.
Help ensure customers are enabled to use and make basic self-serve extensions to Selector's capabilities.
Drive pre-sales activities and proof-of-concept builds, shaping technical strategy with the sales team.
Document customer feedback and translate it into product and engineering improvement proposals.