Test Automation Engineer - AI Network & Observability Platform

Santa Clara, California, United StatesNullFull Time$140,000–$160,000 /yrPosted 2 months agoVisa sponsorship available

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Role summary

Selector AI is seeking a Lead Automation Engineer to join their Engineering team in Santa Clara, CA. This role is pivotal in ensuring the reliability, performance, and scalability of their AI/ML-based network observability platform. The engineer will design, develop, and maintain automated testing frameworks, collaborate with cross-functional teams, integrate tests into CI/CD pipelines, and analyze test results. The ideal candidate will have 8+ years of experience in software testing, with at least 5 years in test automation, strong programming skills in Python, Java, or Go, and experience with network technologies and observability tools. The role involves driving quality initiatives and mentoring other engineers.

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Test Automation Engineer - AI Network & Observability Platform
Selector AI
Software Engineering, Data Science, Quality Assurance
Santa Clara, CA, USA
USD 140k-160k / year
Posted on Mar 27, 2026
Apply now
About Us
Selector is building an operational intelligence platform for digital infrastructure. By adopting an AI/ML-based analytics approach, the platform provides actionable multi-dimensional insights to network, cloud, and application operators. It enables operations teams to meet their KPIs through seamless collaboration, search-driven conversational user experience, and automated data engineering pipelines.
Our solutions are used by leading Telecoms, Media Providers, Retail, and Professional Sports organizations across the world. Our novel approach and rapidly expanding footprint put us in the unique position for continued growth to become a category leader. To fuel our growth, we are seeking passionate, high-energy, results-oriented individuals to join our team.
Our mission is to deliver world-class solutions on behalf of the large enterprise. Supported by leading investors, Selector is uniquely positioned to deliver a world-class solution to address large enterprise requirements across the globe.
Job Overview
We are looking for a highly skilled Lead Automation Engineer to join our Engineering team. You will play a pivotal role in ensuring the reliability, performance, and scalability of our network observability solutions by designing, developing, and maintaining automated testing frameworks. You will collaborate closely with engineering, SRE, DevOps, Sales Customer Support teams to improve test coverage, accelerate delivery, and enhance product quality.
Key Responsibilities

Design, develop, and maintain robust automated test frameworks and test suites for network and observability platforms.
Define test strategies for functional, integration, performance, scalability, and regression testing.
Collaborate with engineering teams to understand requirements, design test cases, and identify potential risks.
Integrate automated tests into CI/CD pipelines to enable continuous testing and faster delivery cycles.
Analyze test results, identify root causes of failures, and provide actionable feedback to development teams.
Mentor and guide other engineers on best practices for test automation and observability testing.
Drive quality initiatives across the platform, including test coverage metrics, automation metrics, and reporting.
Work with observability tools (logs, metrics, traces) to validate network behaviors and ensure platform reliability.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
8+ years of experience in software testing, with at least 5 years in test automation.
Strong programming skills in languages such as Python, Java, or Go.
Experience with test automation frameworks (e.g., Selenium/Playwright, Pytest, Robot Framework, JUnit).
Experience with network technologies, protocols (TCP/IP, BGP, SNMP), and observability tools (Prometheus, Grafana, ELK).
Experience integrating tests with CI/CD pipelines (Jenkins, GitLab CI, or similar).
Strong analytical, debugging, and problem-solving skills.
Excellent communication skills and ability to influence quality practices across teams.

Preferred Qualifications

Experience with large-scale distributed systems and cloud-native architectures.
Knowledge of container orchestration (Kubernetes, Docker) and microservices testing.
Familiarity with network performance testing and monitoring.
Experience with test data management and simulation of network traffic.
Prior experience mentoring or leading automation teams.

Compensation

The salary for this role is $140,000 - $160,000. Final offer amounts are determined by multiple factors, including prior experience, and may vary from the amount listed.

Apply now
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