
Software Engineer
Selector Software1 day ago
Santa Clara, CA, USAEntry Level / Mid Level
Base Salary
$120k - $140k/yr
Responsibilities
- 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 the 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.
- Support hands-on integration and deployment of the platform alongside senior engineers.
- Enable customers to use the platform and create basic self-serve extensions.
- Document customer feedback and translate it into product and engineering improvement proposals.
- Contribute hands-on testing, automation, quality processes, and system-output evaluation.
Requirements
- 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 Python coding skills, including ETL pipelines and complex data structures.
- Basic familiarity with public cloud platforms such as AWS, GCP, or Azure.
- Exposure to Docker and Kubernetes.
- Working understanding of SQL for data extraction and analysis.
- Strong verbal and written communication skills and interest in a customer-facing environment.
- General awareness of networking concepts such as data centers, WAN, and DNS/DHCP.
- Interest in or exposure to agentic AI workflows is preferred.
- Exposure to Ansible, Go, or Jupyter notebooks is a plus.
Benefits
- Discretionary PTO, health insurance, 401(k), and bonus potential.
- The salary range is $120,000–$140,000.
- The role involves working directly with customers and supporting platform integration and deployment in customer environments.
Tech Stack
Categories
BackendData Engineering
About Selector Software
Selector Software builds an AIOps analytics and observability platform (SelectorAI) that unifies telemetry across networks and applications to detect incidents, correlate signals, and automate troubleshooting for IT, NetOps, and SRE teams. It integrates with monitoring and network protocols such as SNMP and gNMI and operates across data center and cloud environments. Founded in 2019 and headquartered in Santa Clara, it sells enterprise subscriptions with professional services for deployment and customer success.