Software Engineer

• Design, write, and maintain production grade Python 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.
• 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.
• Support hands on integration and deployment of Selector's platform to meet customer requirements, working alongside senior engineers.
• Help ensure customers are enabled for use and basic self-serve extensions of Selector's capabilities.
• Document customer feedback and translate it into concrete product and engineering improvement proposals.

• Enjoys coding and data analysis — 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.
• Lead by example and remain hands on with testing and automation.
• 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.
• 0–3 years of professional experience in a technical or engineering role.
• Solid coding skills in Python, with comfort building ETL pipelines and working with complex data structures; exposure to Ansible or Go is a plus.
• Basic familiarity with public cloud platforms such as AWS, GCP, or Azure.
• Exposure to containerization technologies such as Docker and Kubernetes.
• Working understanding of SQL for data extraction and analysis; familiarity with Jupyter notebooks is a plus.
• Interest in or exposure to agentic AI workflows and applying them to real-world engineering problems is a plus.
• Strong communication skills, both verbal and written, with a desire to work in a customer-facing environment.
• General awareness of networking concepts (e.g., Data Center, WAN, DNS/DHCP) — deeper expertise can be developed on the job.
• Eagerness to learn, a self-starter attitude, and the ability to thrive in a fast-paced, collaborative environment.

The salary for this role is $120,000 – $140,000.

Final offer amounts are determined by multiple factors, including prior experience and job location, and may vary from the amount listed.