---
title: 'Senior Software Development Test Engineer at Tekion'
canonical: 'https://feeny.ai/job/senior-software-development-test-engineer-tekion-bengaluru-bgm57cp50r2y'
type: 'job'
last_seen: '2026-09-13'
---

# Senior Software Development Test Engineer at Tekion

- **Company:** Tekion
- **Location:** Bengaluru, India
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-17
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/tekion/f9e2b20f-90d7-4f02-afbf-df120601e825

## Job description

About Tekion: Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.

## Key Role & Responsibilities

Generative AI & LLM Evaluation

- Build automated testing suites to detect hallucinations, bias, toxicity, and prompt injection vulnerabilities across LLM-powered products
- Implement automated evaluations for RAG systems measuring context relevance, groundedness, and answer faithfulness using frameworks like RAGAS or DeepEval
- Design test beds to validate multi-agent workflows — tool-calling accuracy, multi-step reasoning, memory, and autonomous decision loops
- Build and run automated conversation simulations — scripted and synthetic user journeys — to stress-test agent behaviour across intents, edge cases, and multi-turn dialog flows
- Create prompt regression frameworks to assess how changes in system prompts, temperature, and sampling parameters impact output consistency

Data Quality Assurance

- Statistically validate AI data outputs — distributions, precision/recall, error pattern analysis — to catch silent data quality failures before production
- Programmatically audit data ingestion, transformation, and feature store pipelines for schema drift and data corruption
- Validate vector DB indexing, embedding semantic similarity accuracy, and retrieval latency
- Verify quality, diversity, and privacy compliance of synthetic datasets used for model training and evaluation

Classical ML & Deep Learning Validation

- Maintain automated suites tracking ML metrics — Precision, Recall, F1, ROC-AUC — and deep learning loss curves across model versions
- Implement continuous monitoring scripts to detect data and concept drift on live inference endpoints

Automation Engineering & CI/CD

- Build and maintain scalable test automation frameworks for APIs, backend services, and model endpoints
- Embed AI evaluation and data QA suites into MLOps and CI/CD pipelines so quality failures block releases automatically
- Define and track AI quality KPIs and communicate release readiness to engineering and product teams

## Basic Qualifications

## Experience of 5+ years SDET role

Technical Skills & Frameworks Core Programming

- Python — expert level; test automation, eval pipelines, data analysis (Pandas, NumPy, Pytest)
- SQL — data output validation, ground truth querying, pipeline data quality checks

GenAI & Evaluation

- RAGAS / TruLens / DeepEval / Promptflow etc — LLM evaluation frameworks for measuring faithfulness, hallucination rate, and task success
- LangChain / LangSmith / LlamaIndex — agent workflow testing, prompt tracing, and LLM response debugging
- OpenAI / Anthropic / Hugging Face APIs — direct LLM endpoint testing and output consistency validation
- Vector DBs — retrieval quality testing, embedding validation, and latency benchmarking
- Pandas / NumPy etc. — statistical analysis for output validation and error pattern investigation, data profiling, schema validation, and pipeline integrity checks

API & Automation

- Pytest — modular, reusable test framework for AI eval and automation suites
- Postman / REST Assured / Requests — API contract validation and service-level integration testing

MLOps & CI/CD

- MLflow — tracking model versions and eval runs to detect regressions across updates
- Docker / GitHub Actions / Jenkins — containerised test environments and deployment pipeline automation

Observability

- Grafana / Kibana / OpenTelemetry — monitoring AI system health, output drift, and distributed tracing across agent pipelines

## Preferred Qualifications

- Cloud AI Services — AWS Bedrock, Azure OpenAI, or GCP Vertex AI for testing managed model endpoints and cloud-deployed agents
- MLOps Platforms — MLflow, Kubeflow, Weights & Biases, or Feast feature stores for experiment tracking and model governance
- ML Frameworks — Scikit-learn, TensorFlow, or PyTorch familiarity for understanding model internals and validating training pipelines
- Infrastructure as Code — Docker, Kubernetes, Terraform for managing containerised test environments at scale
- UI Automation — Playwright or Cypress for end-to-end conversational AI application testing
- Performance Engineering — Locust or JMeter for load testing heavy AI inference endpoints under peak traffic
- Statistical Hypothesis Testing — t-tests, confidence intervals, significance testing to distinguish real quality signal from noise
- Synthetic Data Generation — using LLMs to generate diverse test cases and evaluation datasets at scale

## Perks & Benefits

- Opportunity to work with some of the smartest minds to solve complex challenges at scale.
- Impactful role in shaping and securing a global, cloud-native & AI driven platform.
- Innovative, collaborative, and fast-paced culture

Current Tekion Employees: Please apply via the Internal Job Board in Ashby Note: Tekion recently transitioned to a new recruiting tool and we appreciate your patience and feedback as we adjust to our new system!

Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics.

For more information on our privacy practices, please refer to our Applicant Privacy Notice [here](https://tekion.com/legal/privacy/applicant-and-candidate-privacy-notice).

## About Tekion

## Company Overview
- **One-liner**: Tekion provides an end-to-end, AI-native platform that unifies dealerships, OEMs, and partners for modern automotive retail.
- **Entity Type**: Private (growth stage; $200M growth equity raise in 2024 at a $4B+ valuation)
- **Headquarters**: Pleasanton, California, USA
- **Founded**: 2016
- **Founders**: Jay Vijayan (CEO) and Guru Sankararaman (COO)

## Core Business
- **Primary industries**: Automotive retail technology, cloud-based dealership management, vertical AI.
- **Target customers**: B2B – automotive dealerships (retail groups and independents) and original equipment manufacturers (OEMs).
- **Mission**: To create a connected, convenient, and consistent consumer experience by unifying dealers, OEMs, and partners on a single AI-native platform.

## Products & Services
- **[Automotive Retail Cloud (ARC)](https://www.tekion.com/)**: AI-native operating system for dealerships covering sales, service, parts, accounting, and analytics. SaaS.
- **[Automotive Partner Cloud (APC)](https://www.tekion.com/)**: Next-gen platform for OEMs and partners to integrate and collaborate with the dealer ecosystem. SaaS.
- **[Tekion AI Agents](https://www.tekion.com/)**: Role-aware AI tools including Service Scheduler AI (automates booking), Technician AI (surfaces repairs), and Service Advisor AI (turns notes into customer-facing recommendations). Embedded in the platform.

## Market Standing
- **Valuation**: $4B+ (as of the 2024 growth equity round) [[tekion.com/about-us](https://www.tekion.com/about-us)]
- **Key Metric**: 3,000+ dealerships powered by Tekion; 235M+ annual transactions processed.
- **Notable Investors/Partners**: The specific lead investor for the $200M round is not publicly named in available materials. Key partners include General Motors (OEM), Ken Garff Automotive Group, and a Fortune 500 dealer group (largest in the country). [[tekion.com/about-us](https://www.tekion.com/about-us)]
- **Growth Signals**: Secured $200M in growth equity in 2024; crossed 1,100 ARC dealers in 2024; launched Service AI in 2025; earned recognition from Goldman Sachs Builders & Innovators (2022–2025), Forbes Cloud 100 (2023), and Fast Company Best Workplace for Innovators (2025).

## Competitive Advantages
- **AI-native, unified platform**: Unlike legacy point solutions, Tekion is built on a single data foundation, enabling real-time context across sales, service, accounting, and analytics.
- **Vertical AI specialty**: Purpose-built for automotive with ISO 42001 certification (responsible AI) and trained on dealership/OEM data.
- **High adoption & trust**: Customer approval rate for AI recommendations is 95%, and dealers report additional revenue generated from AI in 2025.
- **OEM certifications**: Certified with all major OEMs.

## Strategic Focus
- Expanding agentic AI capabilities (Service AI launched 2025) to further automate dealership workflows.
- Deepening enterprise partnerships with large dealer groups and OEMs globally.
- Continuing to scale the platform to more dealers and markets worldwide.

## Why Work Here
- **Culture**: Recognized as a Great Place To Work® (2026–2027) and Fast Company Best Workplace for Innovators (2025). Values include "One Team," collaboration, and continuous learning. [[tekion.com/careers](https://tekion.com/careers)]
- **Work flexibility**: Primarily in-person culture at Pleasanton HQ, but some fully remote positions exist in US, Canada, and EMEA. India offices (Bangalore, Chennai) are onsite with flex days. Roles are marked as remote/hybrid/onsite in job listings.
- **Perks**: 100% employer-paid medical/dental/vision, unlimited PTO (varies by role), stock options, flexible time off, wellness programs, recognition culture.
- **Growth & learning**: Tek-Learn program with Udemy, Frontend Masters, skill workshops, AMAs, and fireside chats.
- **Engineering culture**: AI-native, startup environment focused on disrupting automotive retail; described as "Silicon Valley Startup Environment" with a global team.

## Sources
1. [tekion.com](https://www.tekion.com/) – Product overview, platform details, metrics
2. [tekion.com/about-us](https://www.tekion.com/about-us) – Company history, leadership, funding, awards, partnerships
3. [tekion.com/careers](https://tekion.com/careers) – Culture, benefits, work policy, values
4. [linkedin.com/company/tekion](https://www.linkedin.com/company/tekion) – Entity summary and recent updates
5. [tekion.com/job-openings](https://tekion.com/job-openings) – Current job listings (via careers page)

## Other roles at Tekion

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- [Cloud Finops Analyst II](https://feeny.ai/job/cloud-finops-analyst-ii-tekion-bengaluru-e4f1c5t1bz3c) — Bengaluru, India
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