SDET 3 - Model Evaluation

ProducePay; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

AiDASH, headquartered in Bengaluru, seeks a senior QA engineer to own backend automation and ML validation across distributed systems. You will implement validation pipelines, drive data quality checks, and ensure robust performance testing in cloud environments.

Candidates should have 8–10 years of QA experience, strong Java or Python coding, and familiarity with CI/CD, Kubernetes, SQL/NoSQL, and agentic tools like Cursor and Claude. This is a hands-on role with high visibility.

Qualifications

• 8–10 years in software testing and test automation.

Responsibilities

• Own quality of backend systems and ML validation end-to-end.
• Build validation frameworks to catch regressions before release.
• Set up data quality checks including label accuracy and data drift.
• Design load and benchmark tests for inference services on AWS and Kubernetes.
• Improve automation frameworks and raise testing standards.

Skills

Backend automation

Java

Python

ML testing

Observability

Distributed systems

Testing fundamentals

RCA discipline

CI/CD

SQL/NoSQL

Containerization

Kubernetes

Jenkins/GitHub Actions

Performance testing

Cursor/Claude

Tools

RestAssured

pytest

AWS

JMeter

Locust

Cursor

Claude

Job description

About AiDASH
AiDASH is leading the PreventionFirst™movement for electric utilities and transforming grid resilience through its pioneering platform that unifies vegetation, asset, storm, and wildfire intelligence. Powered by SatelliteFirst™ Inspection & Monitoring, AiDASH delivers comprehensive visibility across the entire grid at the right frequency and budget, using the right data modality. More than 200 customers trust AiDASH to keep the lights on, spend where it counts, and defend every decision, Securing Tomorrow across every mile of the grid. Learn more at www.aidash.com.

The PreventionFirst movement is growing, and so is the recognition behind it. In 2026, Forbes named AiDASH one of America's Best Startup Employers for the 4th consecutive year, and TIME included AiDASH among America's Top GreenTech Companies for the 3rd year in a row. Deloitte Technology Fast 500™ ranked AiDASH No. 12 in the San Francisco Bay Area, and No. 59 overall in their selection of the top 500 for 2024.

Join us in Securing Tomorrow Together!

The Role

How You'll Make an Impact:

• Own model quality before production. Build validation frameworks for computer vision models (preferably satellite or geospatial). Catch regressions in accuracy, precision/recall, and IoU before they reach customers.

• Build version-aware model regression. Set up pipelines that compare inference outputs across model versions on curated golden datasets. Every release should come with a clear, data-backed go/no-go signal.

• Make data quality a first-class gate. Validate training and evaluation datasets for label quality, class balance, geographic and seasonal coverage, leakage, and drift. Ensure models are tested on data that reflects real-world conditions.

• Validate inference at scale. Design load and benchmark tests for inference services and batch pipelines. Find the throughput, latency, and cost limits on AWS and Kubernetes before customers do.

• Harden the platform end-to-end. Automate API, contract, and data-pipeline tests across distributed services. Use logs, metrics, and traces to speed up root-cause analysis.

• Raise the bar for the team. Strengthen the shared automation frameworks and set standards for maintainable, non-flaky tests. Show how tools like Cursor and Claude can speed up test authoring, triage, and reporting while staying under human review.

• Influence release decisions. This is a high-visibility role. Your quality signals will directly shape what ships across Aidash’s product lines

What we're looking for:

We are looking for a senior QA engineer with deep backend automation experience who can validate ML models and backend systems end-to-end, and who actively uses agentic AI development tools (e.g., Cursor, Claude) to accelerate test design, automation, debugging, and reporting — without compromising fundamentals, coverage, or engineering quality.

• 8–10 years in software testing and test automation, with strong ownership of backend system quality

• Hands-on backend automation experience using at least one of:

• Java + RestAssured Or Python + pytest

• Experience testing ML applications (model/service behavior, data quality, inference pipelines, evaluation/regression of model-backed features)

• Broader stack familiarity: observability (logs/metrics/traces), cloud (AWS), contract testing, data-pipeline validation

• Experience improving shared automation frameworks and raising team standards for maintainable tests

• Solid grasp of testing fundamentals and best practices (test design, risk-based coverage, isolation, maintainability, flaky-test control, clear defect/RCA discipline)

• Strong coding ability in Java or Python (proficient in at least one), with willingness to learn the other (or additional languages) as needed

• Good understanding of backend system design and how services interact in distributed systems

• Practical exposure to databases — SQL and/or NoSQL (at least one is mandatory)

• Working knowledge of application deployment and underlying orchestration (e.g., containers, Kubernetes, service rollout/health concepts)

• CI/CD pipelines — must have (Jenkins/GitHub Actions/Bitbucket Pipelines or equivalent): triggering suites, reading failures, improving pipeline reliability

• Performance testing — must have (JMeter/k6/Locust or equivalent): load/benchmark basics, interpreting results, flagging SLA/risk

• Exposure to agentic development tools such as Cursor and Claude (or similar) for coding, test authoring, log/triage assistance, and documentation — used with human review and quality gates

We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.

We are committed to providing an inclusive and accessible interview experience for all candidates. Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs. Read our Privacy Policy here: https://www.aidash.com/policy/privacy-policy/