Senior Software Engineer

• 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.

• 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.

• 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.

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.