S
Selector AI
Software Engineer
Skills
Google Cloud PlatformSQL QueriesData EngineeringDockerData MiningPythonData AnalysisAIAWSAnsibleKubernetesBambooHRAzure
2 months ago
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Important information
Contract type:
Permanent
Salary:
$120,000 – $140,000 / year
Location:
Santa Clara, CA, USA
Work mode:
Onsite
Published on:
8 August 2026
What they need
- This is a backend-heavy role for 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
- 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
- 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
Benefits
- Participate in Our Success - Selector offers competitive equity packages that allow employees to participate in the company’s success
- Healthcare - Along with comprehensive dental, vision, and health benefits, Selector employees also have optional participation in flexible spending and health savings account programs
- Flexibility - Taking time off keeps our team members fresh and engaged. We offer unlimited PTO in most geographies
- Retirement Benefits - Employees are eligible to participate in the company’s 401K and Roth 401K plans
- Insurance - Selector provides basic life insurance, an optional supplemental Life & AD&D insurance plan, and short and long-term disability benefits
- A Hybrid Work Environment - At Selector, our team members can combine in-office and remote work to meet their unique requirements. We also offer entirely remote positions- Lead by example and remain hands on with testing and automation
- Enjoy solving complex technical problems and working closely with both engineering and customer teams
- Build processes that improve quality without introducing unnecessary overhead
- 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
- Balance quality, speed, and pragmatism when building under real customer constraints
- Can evaluate whether a system output is truly correct, not just whether a test passed
- Eagerness to learn, a self-starter attitude, and the ability to thrive in a fast-paced, collaborative environment
- Solid coding skills in Python, with comfort building ETL pipelines and working with complex data structures; exposure to Ansible or Go is a plus
- General awareness of networking concepts (e.g., Data Center, WAN, DNS/DHCP) — deeper expertise can be developed on the job
- 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
- Basic familiarity with public cloud platforms such as AWS, GCP, or Azure
- Exposure to containerization technologies such as Docker and Kubernetes
- 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
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