Senior Cloud Quality Assurance Automation Engineer at Hayden AI

San Francisco, California, United States

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$144,800 – $188,300Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, TransportationIndustries

Requirements

Bachelor’s degree in Computer Science, Electrical Engineering, or a related field
7+ years of experience in QA Automation, preferably in cloud based or SaaS environments
Strong programming/scripting skills in Python, Java, Shell, or JavaScript/TypeScript
Proficiency with InfluxDB, Redshift, and SQL query optimization
Experience building and maintaining dashboards in Grafana and Datadog
Hands-on experience testing REST APIs with Postman, Pytest, RestAssured, or similar tools
Familiarity with AWS services (S3, SQS, Lambda, Redshift, Cognito, EKS) and infrastructure tools (Docker, Kubernetes, Terraform)
Experience integrating test automation with CI/CD workflows
Strong analytical and problem solving skills, with a focus on data accuracy and observability
Experience working in Agile/Scrum environments with modern DevOps and SRE practices

Responsibilities

Design, develop, and maintain end-to-end automated test suites for Frontend, APIs, data pipelines, and AWS cloud components
Build and manage test automation frameworks using Python, Pytest, or Java based tools (e.g., TestNG, RestAssured)
Automate testing for AWS based microservices, ETL workflows, and monitoring systems while testing AWS data pipelines (Glue, Lambda, S3, Redshift) and API-based ingestion flows
Integrate automated tests with CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI
Validate data integrity and accuracy across InfluxDB, Redshift, and other data sources
Write and optimize SQL and time series queries to validate KPIs, metrics, and aggregated data
Create, validate, and maintain Grafana and Datadog dashboards for reporting, alerting, and trend analysis

Skills

Python

Pytest

Java

TestNG

RestAssured

AWS

Glue

Lambda

Redshift

Jenkins

GitHub Actions

GitLab CI

SQL

InfluxDB

ETL

CI/CD

Microservices

Hayden AI

Autonomous traffic management platform using AI

About Hayden AI

Hayden AI has created an autonomous traffic management platform that uses artificial intelligence to turn vehicles into mobile street sensors, collecting real-time data to improve urban mobility. This data helps transit agencies enforce dedicated bus lanes, enhancing rider safety and making public transportation more efficient. Unlike competitors, Hayden AI combines mobile sensors with citizen-driven data for a comprehensive view of traffic conditions. The company's goal is to make cities safer and more efficient through its patented technology.

Oakland, CaliforniaHeadquarters

2019Year Founded

$187.9MTotal Funding

SERIES_CCompany Stage

Data & Analytics, Automotive & Transportation, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Health Savings Account/Flexible Spending Account

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Risks

Increased competition from partners like Verra Mobility may lead to market share loss.

AI-powered enforcement systems may face public backlash over privacy concerns.

Expansion into Europe may encounter regulatory challenges and require local adaptation.

Differentiation

Hayden AI offers the first autonomous traffic management platform for urban mobility.

The company uses AI to convert vehicles into mobile street sensors for real-time data.

Hayden AI's platform creates a digital twin of cities for traffic monitoring and management.

Upsides

Recent $90 million Series C funding boosts technology expansion and market reach.

Partnership with Verra Mobility enhances comprehensive traffic solutions and platform capabilities.

Winning European awards positions Hayden AI as a leader in innovative urban mobility.

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