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.
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).
Create, validate, and maintain Grafana and Datadog dashboards for reporting, alerting, and trend analysis.
Integrate automated tests with CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
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.
Requirements
influxdb
redshift
python
grafana
aws
ci/cd
Proficiency with InfluxDB, Redshift, and SQL query optimization.
Strong programming/scripting skills in Python, Java, Shell, or JavaScript/TypeScript.
Hands-on experience testing REST APIs with Postman, Pytest, RestAssured, or similar tools.
Experience building and maintaining dashboards in Grafana and Datadog.
Experience integrating test automation with CI/CD workflows.
Strong analytical and problem solving skills, with a focus on data accuracy and observability.
7+ years of experience in QA Automation, preferably in cloud based or SaaS environments.
Familiarity with AWS services (S3, SQS, Lambda, Redshift, Cognito, EKS) and infrastructure tools (Docker, Kubernetes, Terraform).
Experience working in Agile/Scrum environments with modern DevOps and SRE practices.
Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
Benefits
Information not given or found
Training + Development
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Interview process
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Visa Sponsorship
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Security clearance
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Company
Overview
$178M
Funding Secured
Backed by $178M in funding, the company has strengthened its position in the market.
$16M-$57M
Revenue 2023
The company's estimated revenue for 2023 was between $16 million and $57 million.
650+
Systems Deployed
By 2024, the company had deployed over 650 systems across major metropolitan areas.
The company launched a breakthrough mobile perception platform, founded in 2019 by AI and transportation experts.
Its flagship solution automates bus lane and stop enforcement, enhancing transit efficiency and reliability.
The platform leverages deep learning and computer vision for digital twin modeling and spatial analytics.
The company is recognized as the largest provider of mobile bus-enforcement AI in the U.S., with global installations.
Their systems use edge-processed object detection, prioritizing privacy by saving only violations, not full imagery.
The company maintains an independent AI Ethics Oversight Board to guide deployment and data usage.
Culture + Values
Customer Focus
Passion
Collaboration
Empowerment
Transparency
Integrity
Environment + Sustainability
40% Speed Increase
Bus Route Efficiency
Enhanced bus route efficiency by increasing speeds, reducing idling time, and lowering CO₂ emissions in public transit systems.
Top GreenTech 2024
Innovative Recognition
Named a Top GreenTech Company by TIME Magazine for contributions to reducing transit emissions and promoting cleaner public transport.
Empowers governments to build sustainable cities via AI-driven traffic enforcement aligned with UN SDGs
Launched online emissions‑savings calculator using EPA and BTS data to quantify greenhouse gas reductions
Promotes cleaner public transport to reduce transit emissions and improve urban mobility
Inclusion & Diversity
No public DEI strategy or gender‑specific data found on official website or LinkedIn as of July 2025
No documented gender‑related statistics or targets available in public disclosures