Staff Software Development Test Engineer

Ovii's Interpretation of the Role

The Staff Software Development Test Engineer will own quality, reliability, and performance testing for Tekion's AI Platform. You’ll design automated validation frameworks, drive root‑cause analysis, and leverage LLMs to accelerate test generation while collaborating with platform, ML, and product teams.

Role Snapshot

• Staff‑level SDET
• AI Platform quality ownership
• Automation framework design
• Performance & scalability testing
• Collaboration with ML & infrastructure engineers

Must-Have Requirements

• Python
• Java
• Go
• Automation frameworks for platform/infrastructure services
• Distributed systems testing
• Performance/load testing
• ML lifecycle understanding
• SDET
• quality engineering
• automation framework development

Nice-to-Have Signals

• MLflow
• Feast
• KServe / Seldon
• Ray
• Kubeflow
• SageMaker / Vertex AI
• Prometheus
• Grafana
• Datadog
• Milvus
• Pinecone
• CI/CD pipelines
• Docker
• Kubernetes
• AWS / GCP / Azure
• Chaos engineering
• ML platform tooling
• observability and monitoring

Work Setup

• Location: Bangalore, India
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Salary range
• Visa sponsorship
• Remote eligibility
• Education requirement
• Certifications

What You'll Likely Work On

• Develop deep knowledge of the AI Platform architecture, data flows, and ML lifecycle
• Own end‑to‑end quality for feature pipelines, model training/serving, registries, and LLM gateways
• Design and implement automated testing frameworks for APIs, SDKs, and infrastructure components
• Validate feature and model input/output correctness, latency, throughput, and scalability
• Build regression and reconciliation suites for platform migrations and version upgrades
• Define quality metrics, SLOs, and automated monitoring to detect platform anomalies
• Leverage AI/LLMs to generate tests, synthetic data, and automation scaffolding
• Drive root‑cause analysis for production issues and partner on preventive improvements

Good Fit If You Have

• Strong collaboration and communication across cross‑functional engineering teams
• Passion for building reliable, high‑throughput SaaS platforms
• Experience with AI/ML platform testing or strong ML lifecycle knowledge