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.
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.
Hayden AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Hayden AI and has not been reviewed or approved by Hayden AI.
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Fair & Transparent Compensation — Pay is described as competitive for senior technical roles, with multiple posted ranges and wage baselines converging around high six figures. Equity and a company-wide bonus plan are also referenced as parts of the overall package.
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Healthcare Strength — Medical, dental, and vision coverage for employees and dependents is consistently listed, alongside FSA/DCFSA options. Some listings indicate very high employer premium coverage depending on role and location.
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Retirement Support — A 401(k) plan with an employer match is repeatedly cited as a standard component of the package. The presence of a stated match suggests a more structured retirement benefit than many early-stage startups.
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What We Do
Artificial intelligence is already impacting almost every aspect of our lives. But cities still rely on outdated technologies that are too expensive to scale and unable to deliver on their promise. As a result, streets are becoming unsafe, and cities are becoming unmanageable. Hayden AI was founded on the belief that by combining mobile sensors with artificial intelligence, we can help governments bridge the innovation gap while making traffic flow less dangerous and more efficient. Led by a team of experts in machine learning, data science, transportation, and government technology, we’ve developed the world’s first autonomous traffic management platform — simultaneously serving citizens and multi-agency missions to help cities become safer and more sustainable.
