About the job
This position is fully remote and available to candidates located in India.
About OpenTable: OpenTable, a prominent part of Booking Holdings, Inc. (NASDAQ: BKNG), has been a leader in the dining reservation industry for over 25 years, connecting millions of diners with more than 60,000 restaurant partners. Our innovative technology empowers restaurants to focus on their core values—serving their guests and enhancing their profitability—while facilitating diners in discovering and booking the ideal dining experiences.
At OpenTable, every team member plays a crucial role in shaping our mission and culture. We are a global team that values hospitality, which is central to our ethos.
About You:
You have a passion for coding and a relentless curiosity for improving code quality. You thrive on technology and are always seeking more efficient methods for problem-solving. You enjoy sharing knowledge and find inspiration in collaborating with peers. With a user-centric approach, you take pride in delivering reliable software, maintaining composure during production challenges, and evaluating issues across various service layers.
Responsibilities:
Join the OASIS team at OpenTable as an Engineer II, where you will contribute to the restaurant onboarding process, including onboarding, activation, and sales integration services. You will manage both front-end and back-end services within a team of six engineers (four back-end and two front-end). This hands-on role combines technical expertise with leadership and strategic insights.
You will be instrumental in designing and implementing OpenTable’s identity and access platform for restaurants globally, providing top-tier tools for our key customers and enterprise partners. We pride ourselves on fostering small, autonomous product development teams where product managers, designers, and engineers collaborate effectively.
As an Engineer II, your responsibilities will include participating in technical and architectural decision-making to ensure that our platforms are scalable, reliable, and perform optimally, especially during peak traffic periods.

