
Job Description
Ovii's Interpretation of the Role
Senior Software Engineer at Tekion, building a cloud‑native automotive platform. Lead end‑to‑end feature development, design scalable high‑performance services, and mentor junior engineers while driving engineering best practices.
Role Snapshot
- Lead feature development
- Design scalable cloud‑native systems
- Mentor junior engineers
- Drive engineering best practices
- Work with microservices & containers
- Optimize performance and reliability
Must-Have Requirements
- Java
- Python
- JavaScript
- C++
- Distributed systems
- Cloud‑native services
- Performance optimization
- Microservices
- Docker
- Kubernetes
- AWS
- GCP
- Azure
- Problem solving
- Mentorship
- Communication
- software engineering
- distributed systems
- cloud‑native services
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
Work Setup
- Location: Bangalore, India
- Work mode: ONSITE
- Employment type: Full-Time
Not Specified in JD
- Salary range
- Visa sponsorship
- Remote eligibility
- Relocation
- Travel
- Security clearance
- Coding test
What You'll Likely Work On
- Design and build scalable, high‑performance services supporting business growth.
- Lead feature development from concept through deployment, ensuring quality and maintainability.
- Collaborate with architects and senior engineers to shape system design and technical strategy.
- Mentor junior engineers, conduct code reviews, and promote engineering standards.
- Identify and resolve bottlenecks in production and development environments.
- Drive adoption of best practices across the team.
Good Fit If You Have
- Strong communication and mentorship abilities.
- Passion for solving complex, large‑scale technical challenges.
- Ability to influence architectural decisions and technical strategy.
- Experience thriving in fast‑paced, collaborative environments.
Skills
- Modern programming languages (Java, Python, JavaScript, C++)
- Distributed systems & cloud‑native architecture
- Microservices & containerization (Docker, Kubernetes)
- Cloud platforms (AWS, GCP, Azure)
- Performance optimization
- Problem solving & communication