
Job Description
Ovii's Interpretation of the Role
Tekion seeks a Staff Software Engineer to lead the architecture of its AI‑native platform, building large‑scale, cloud‑native services that power automotive retail solutions. The role combines deep technical expertise with mentorship and cross‑team collaboration in a fast‑paced, on‑site environment.
Role Snapshot
- Lead AI platform architecture
- Design AI gateway & Model Context Protocol
- Build and scale microservices
- Mentor engineers & set engineering standards
- Drive reliability, observability, and MLOps
Must-Have Requirements
- Java
- Object‑oriented development
- Spring Boot
- Kafka
- AWS technologies
- MongoDB
- MySQL
- ELK stack
- LLM systems
- Model Context Protocol
- AI gateway design
- Agentic AI frameworks
- Distributed systems
- Performance optimization
- Technical mentorship
- software engineering
- large‑scale applications
- microservices
- AI platform development
- Bachelor's or master's in computer science or related field
Work Setup
- Location: Bangalore, India
- Work mode: ONSITE
- Employment type: Full-Time
Not Specified in JD
- Visa sponsorship
- Salary range
- Remote eligibility
What You'll Likely Work On
- Define and own the technical vision for the AI Native Platform
- Architect and implement a highly‑available AI gateway that abstracts multiple LLM providers
- Design the Model Context Protocol ecosystem and related tooling
- Create agentic AI frameworks and ensure platform reliability and observability
- Collaborate with product, AI/ML research, and domain engineering teams to shape the roadmap
- Provide technical mentorship and enforce high code‑quality standards across the team
- Deliver end‑to‑end platform features on schedule in a fast‑paced startup environment
Good Fit If You Have
- Strong ownership mindset and technical leadership
- Excellent communication and cross‑functional collaboration
- Experience delivering large‑scale, cloud‑native microservices
Skills
- Java
- Spring Boot
- Kafka
- AWS cloud services
- MongoDB & MySQL
- ELK stack
- LLM systems & model evaluation
- Model Context Protocol (MCP)
- Agentic AI frameworks
- Distributed systems design
- Technical mentorship