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.
About the Role :
We are looking for a highly motivated AI Software Development Engineer in Test to join Tekion’s AI Platform team. Our team builds the infrastructure and tooling that powers every AI capability at Tekion — model training and serving infrastructure, feature and data pipelines, model registry and deployment, LLM gateways, vector stores, and the observability that ML Engineers and Data Scientists build on top of.
In this role, you will be responsible for building confidence in the quality, reliability, correctness, and performance of the AI Platform itself. You will work closely with Platform and Infrastructure Engineers, ML Engineers, and Product Management to define robust validation strategies, automate testing across platform services and SDKs, and ensure the platform behaves correctlyand scales under the demands of a growing fleet of AI agents.
As the platform expands to serve 100+ AI agents, you will help define quality and evaluation frameworks for platform-level AI services — validating model-serving correctness, feature integrity, and the reliability of the tooling teams depend on. You will also use AI and LLMs to accelerate test generation and automation across the platform.
What You’ll Do :
- Develop a deep understanding of Tekion’s AI Platform architecture, services, data/feature flows, and the ML lifecycle it supports.
- Own end-to-end quality for platform capabilities — feature pipelines, training and serving infrastructure, model registry, deployment pipelines, LLM gateways, and vector/data stores.
- Design and implement automated testing frameworks for platform APIs, SDKs, services, and infrastructure components.
- Validate the correctness, completeness, and consistency of features and model inputs/outputs as they move through the platform.
- Test model-serving and inference services for correctness, latency, throughput, scalability, and reliability under load.
- Build regression and reconciliation suites for large-scale platform changes, migrations, and
version upgrades. - Validate platform capabilities such as ingestion, feature computation, model deployment/rollback, multi-tenancy, and governance.
- Define quality metrics and SLO validation, with automated monitoring to detect platform anomalies before they impact ML teams or customers.
- Contribute to evaluation frameworks for platform-level AI services (e.g., serving correctness, feature integrity, eval-infrastructure reliability).
- Use AI/LLMs to accelerate quality engineering — generating tests, synthetic data, and automation scaffolding.
- Drive root cause analysis for production platform issues and partner with engineering teams on preventive improvements.
- Champion quality engineering and reliability best practices across the AI Platform organization.
What We’re Looking For
- 8+ years in SDET, quality engineering, or software engineering, with strong experience building automation frameworks for platform, infrastructure, or backend services.
- Strong programming skills in Python and/or Java/Go, with the ability to write productionquality automation and tooling.
- Experience testing distributed systems, APIs, data pipelines, or ML/data platforms.
- Solid understanding of ML lifecycle components — feature stores, training/serving, model registry, deployment — or a strong platform-testing background with ML fluency.
- Experience with performance, load, and scalability testing.
- Familiarity with CI/CD, infrastructure-as-code, containers (Docker, Kubernetes), and cloud (AWS/GCP/Azure).
- Understanding of LLM/ML failure modes and evaluation concepts.
- Strong debugging and root cause analysis skills across service, data, and infrastructure layers.
- Excellent collaboration and communication skills.
Nice to Have
- Experience with ML platform tools (MLflow, Feast, KServe/Seldon, Ray, Kubeflow, SageMaker/Vertex AI) or LLM infra (vLLM, model gateways, vector DBs such as Milvus/Pinecone).
- Experience with observability and monitoring stacks (Prometheus, Grafana, Datadog).
- Experience testing multi-tenant, high-throughput SaaS platforms.
- Contributions to internal test frameworks or developer tooling.
- Exposure to chaos or reliability engineering
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.
Skills Required
- 8+ years in SDET, quality engineering, or software engineering
- Strong programming skills in Python and/or Java/Go
- Experience testing distributed systems, APIs, data pipelines, or ML/data platforms
- Solid understanding of ML lifecycle components (feature stores, training/serving, model registry, deployment)
- Experience with performance, load, and scalability testing
- Familiarity with CI/CD, infrastructure-as-code, containers (Docker, Kubernetes), and cloud (AWS/GCP/Azure)
- Understanding of LLM/ML failure modes and evaluation concepts
- Strong debugging and root cause analysis skills across service, data, and infrastructure layers
- Excellent collaboration and communication skills
- Experience with ML platform tools (MLflow, Feast, KServe/Seldon, Ray, Kubeflow, SageMaker/Vertex AI) or LLM infra (vLLM, model gateways, vector DBs such as Milvus/Pinecone)
- Experience with observability and monitoring stacks (Prometheus, Grafana, Datadog)
- Experience testing multi-tenant, high-throughput SaaS platforms
- Contributions to internal test frameworks or developer tooling
- Exposure to chaos or reliability engineering
Tekion Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tekion and has not been reviewed or approved by Tekion.
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Healthcare Strength — Healthcare coverage includes 100% employer-paid medical, dental, and vision for many U.S. roles, often extending to families. Additional options like HSA/FSA and pet insurance are cited as part of a robust health offering.
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Fair & Transparent Compensation — Pay is considered competitive overall, with total rewards (pay, stock, equity, and benefits) frequently viewed favorably. Many accounts characterize compensation as strong alongside comprehensive benefits.
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Wellbeing & Lifestyle Benefits — Perks such as free meals/snacks, wellness resources, and on-site amenities are highlighted. Flexible or remote options are available for some roles, adding convenience and flexibility.
Tekion Insights
What We Do
At Tekion, we believe that business applications don’t have to be boring. In fact, they should be simple, fun and cool! They should be as delightful to use as your favorite social or consumer application, yet powerful enough to seamlessly and efficiently run global businesses that provide unparalleled consumer experience without compromise. Founded by visionary entrepreneur and innovator Jay Vijayan, we are building the world’s best business applications on the cloud starting with the automotive retail industry. We inherently use cutting-edge technologies like big data, machine learning/AI, and human computer interaction (voice, touch, vision, sensors and IoT). We are inventing new technology along the way to overcome barriers and solve big problems, all while having a blast doing it! Our flagship product offering, Automotive Retail Cloud ™- an industry-first cloud-native retail platform, including all functionalities of a Dealer Management System (DMS) launched recently.
