Software Engineer, Selector AI
$120-140k
3+ days a week in office (Santa Clara, CA)
AIOps platform for operational intelligence
Be an early applicant
AIOps platform for operational intelligence
101-200 employees
Be an early applicant
$120-140k
3+ days a week in office (Santa Clara, CA)
101-200 employees
Company mission
To help teams understand, troubleshoot, and operate complex infrastructure using AI-native observability and correlation.
Role
Who you are
- 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
What the job involves
- 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
Our take
Selector AI is an AIOps solution that provides 360-degree visibility across a company’s complex network, infrastructure and applications. Especially useful for cloud network providers and telecom companies with large, complex and connected customer bases, Selector’s clients include the likes of NBC and Lumen who leverage the technology to mine deep insights from problems across their networks.
Selector’s AI-powered event intelligence platform effectively diagnoses the root cause of network and infrastructure errors. The company’s 2024 Series B round is being used to expand its presence, with new offices across the US, Canada, Europe, Singapore, India and Japan. This indicates the company’s move into an ambitious period of growth after 5 years of developing its product.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Feb 2026
$32m
LATE VC
Nov 2024
$33m
SERIES B
Total funding: $98m
Company 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
Company HQ
Santa Clara, CA
Leadership
Nittin Kumar
(Co-Founder & CTO)Previously VP of Juniper Networks, Senior Software Engineer at Procket Networks and FORE Systems.
Kannan Kothandaraman
(Co-Founder & CEO)Previously VP of Product Line Management at Juniper Networks and Software Engineer at Cisco Systems.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 8 more jobs at Selector AI