Senior Software/Solutions Engineer

Senior Software Engineer

About Us

Selector 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. It helps operations teams meet their KPIs through seamless collaboration, a search-driven conversational experience, and automated data engineering pipelines.

Our solutions are used by leading Telecom, Media, Health Care, Finance, Retail, Professional Sports, and Fortune 500 enterprise organizations around the world. Our novel approach and rapidly expanding footprint position us for continued growth as a category leader.

Perks: discretionary PTO, health insurance, 401k, bonus potential, and more.

About the Role

This is a backend-heavy role for experienced engineers who want to solve complex data and systems problems — and see that work run in production, inside a customer's environment, not just in a sprint backlog. You'll build and maintain the ETL pipelines, data models, and integrations that power Selector's platform, applying agentic AI workflows to help infrastructure reason about itself at scale, while providing technical leadership and mentorship to engineers around you.

You'll also work directly with customers to understand their data and environment, translating complex technical concepts into solutions that fit their specific, high-stakes infrastructure — so your backend work isn't abstract, it's solving a real problem for a real team.

Responsibilities

Design, write, and maintain production grade Python/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, setting the technical direction for backend systems and integrations.

Mentor and guide junior and mid-level engineers, reviewing code and helping raise the technical bar across the team.

Build backend logic connecting Selector's platform to customer data sources, APIs, and existing tooling.

Work directly with customers to understand complex data structures, workflows, and analytics requirements, translating them into technical solutions.

Lead hands-on integration and deployment of Selector's platform to meet customer requirements, partnering with sales and customer teams.

Help ensure customers are enabled for use and basic self-serve extensions of Selector's capabilities.

Drive pre-sales activities and Proof of Concept (POC) builds, shaping technical strategy in collaboration with the sales team.

Document customer feedback and translate it into concrete product and engineering improvement proposals.

You Will Thrive If You

Enjoy backend engineering — especially ETL, data pipelines, and complex system design — and want to see your work run in front of real customers.

Like applying AI/agentic workflows to solve genuinely hard, ambiguous problems, not just well-defined ones.

Naturally lead by example and enjoy mentoring other engineers, without needing a formal management title to do it.

Remain hands-on with testing and automation even as you take on more architectural and leadership responsibility.

Can evaluate whether a system output is truly correct, not just whether a test passed.

Balance quality, speed, and pragmatism when building under real customer constraints.

Build processes that improve quality without introducing unnecessary overhead.

Enjoy solving complex technical problems and working closely with both engineering and customer teams.

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 coding skills in Python, with deep experience building ETL pipelines and working with complex data structures; exposure to Ansible or Go is a plus.

Demonstrated technical leadership experience — 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; familiarity with Jupyter notebooks is a plus.

Experience with or strong interest in agentic AI workflows and applying them to real-world engineering problems.

Strong communication skills, both verbal and written, with experience working in a customer-facing environment.

Solid understanding of networking concepts (e.g., Data Center, WAN, DNS/DHCP).

A self-starter attitude and the ability to thrive in a fast-paced, collaborative environment.

Compensation

The salary for this role is $150,000 – $185,000. Final offer amounts are determined by multiple factors, including prior experience and job location, and may vary from the amount listed.