Senior Cloud Quality Assurance Automation Engineer
Hayden AI
Location
San Francisco HQ Office
Employment Type
Full time
Location Type
Hybrid
Department
Research & DevelopmentEngineering Operations
Compensation
- $144.8K – $188.3K • Offers Equity • Offers Bonus
We determine fair compensation for each position by considering market rates, qualifications, experience, and location.
This job posting reflects a salary range based on different levels within the position, which are primarily determined by location. Your interview performance will help us determine your base salary offer within this range.
Keep in mind that salary is just one piece of Hayden's total compensation package. We also offer equity and a company-wide bonus plan. Additional benefits are shared as part of this job posting.
Benefits and Perks
There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in a wide range of fields (AI, Computer Vision, Government Contracting, Systems & Device Engineering, Operations, Communications, and more!)
Options for medical, dental, and vision coverage for employees and dependents (for US employees)
Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)
401(k) with 3% company matching
Unlimited PTO
Daily catered lunches in our San Francisco office
At Hayden AI, we are committed to creating an inclusive and diverse workplace where everyone is treated with respect and dignity. We believe that our differences make us stronger and drive innovation. As an equal opportunity employer, we do not discriminate against any employee or applicant based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status. We are dedicated to fostering a work environment that celebrates diversity and ensures that every individual has the opportunity to contribute to our mission and achieve their full potential.
Please do not forward resumes to our jobs alias, Hayden AI employees or any other company location. Hayden AI is not responsible for any fees related to unsolicited resumes.
About Us
At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
What the job involves:
We are seeking a highly motivated Cloud Automation QA Engineer to join our Quality Engineering team. In this role, you will be responsible for designing and implementing automated validation frameworks for complex, data-driven, and cloud-native systems deployed in AWS environments.
You will play a crucial role in ensuring our cloud platforms, data pipelines, and observability systems provide accurate, reliable, and high-performing insights to end users. This position involves working in a fast paced, dynamic environment that values innovation, continuous improvement, and automation at scale. You will collaborate closely with the Cloud Infrastructure, DevOps, SRE, and Data Engineering teams to embed quality and automation into every stage of our CI/CD lifecycle.
Key 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.
Required Qualifications:
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.
Compensation Range: $144.8K - $188.3K