Tekion
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Chennai · On-site · 4-7 Yrs · Oct 14
Enterprise Software & Network Solutions · 1001 to 5000 Employees · Pleasanton, US
Tekion is redefining automotive retail with its end-to-end AI platform purpose-built for the industry. By embedding AI into every workflow, Tekion delivers intelligent automation, real- time insights, and advanced decision support - driving efficiency, revenue, and modern consumer experiences. As the first and fastest cloud-native platform for automotive, Tekion brings OEMs, dealers, partners, and consumers together through its revolutionary suite: Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and large automotive enterprises, and Automotive Partner Cloud (APC) for technology and industry partners. With AI-native technology, Tekion enables the most seamless, transparent, and profitable retail experiences in the industry. At Tekion, we Outpace Possibility. This means we move fast, constantly innovate, grow together, and build something of incredible value for everyone involved. A shared purpose bonds Tekionites and they have opportunities to expand their passion, learn, create, collaborate, and work as a team; a place where diversity is celebrated, courage and kindness walk hand-in-hand, hard work and contributions are rewarded equally, and wealth creation is for everyone. We are “Tekionites”, ONE team and together we win! Join us, and let us Outpace Possibility together!
Hiring: Engineering
What employees say
+ Working on different cloud infrastructure tools
− Priorities can change during production cycles
More reviews on the company profile.
Interview experience · Asociate Software Developer
1 coding round (20mcq+2dp questions one hard, one medium) + 4 interview rounds (3technical+1HR) 2 technical rounds were focused on projects and 1 was focused on DSA and HR round was about 30 minutes covering background c
Easy difficulty · Bengaluru · 330 reports
More interview insightsJob description
Overview
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.
Qualifications
- 4–6 years of experience in database engineering or administration
- Bachelor’s degree in Computer Science, Information Systems, or a related field
- Proficiency in SQL, scripting (e.g., Python, Bash), and data management tools
- Experience with database performance tuning, monitoring, and recovery strategies
- Familiarity with relational and NoSQL platforms (e.g., PostgreSQL, MySQL, MongoDB, DynamoDB)
- Strong problem-solving skills and ability to work across engineering and infrastructure teams
- 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.
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Database Engineer II at Tekion?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Tekion may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Database Engineer II role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Database Engineer II remote or on-site in Chennai, Tamil Nadu?
- This listing is marked on_site with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Database Engineer II role at Tekion?
- This is a mid-level Database Engineer II role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.