Software Engineer I

Software Engineer I

Bangalore, India

Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love.

Now, more than ever, we Toast-ers are committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, they can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future. 

Are you bready* to make a change?

Toast is scaling rapidly, and the growth is fuelled by its strong Fintech foundation. We are looking for a Senior Software Engineer to join our Fintech team, where you would be leading a functional charter and would get to build, innovate and upscale the next generation of our software solutions. You would be working with highly passionate people who thrive and live to learn and coach.

About this roll* (Responsibilities) 

• Design, build, deploy, and maintain highly resilient and scalable features across Toast’s Fintech Line-of-Products.
• Champion best practices for SDLC & CI/CD life-cycles.
• Write clean, maintainable code and help build automated tests to ensure software quality.
• Participate in the rollout of new features, ensuring successful deployment with support from senior team members.
• Collaborate with peer engineers to review code and provide feedback while learning from the process.
• Contribute to team discussions on technical decisions, while gaining experience in making sound engineering choices.
• Work closely with PM, UX, and QA teams to support feature development and gain insight into product requirements.

Do you have the right ingredients*? (Requirements)

• 1+ years of experience as a software engineer.
• Familiarity with Object-Oriented Programming (OOP) concepts and languages such as Java, Kotlin, or similar (prior experience in other languages is welcomed and transferable).
• Exposure to scripting languages like JavaScript and its frameworks (or a willingness to learn them).
• Basic understanding of data structures and algorithms, with a focus on building problem-solving skills.
• Initial experience or academic knowledge in building backend services and APIs.
• Exposure to Agile/Scrum methodologies and an eagerness to collaborate within an iterative development process.
• Familiarity with cloud platforms like AWS, or an interest in learning about cloud infrastructure.
• A strong team player who collaborates effectively with peers, asks for help when needed, and is open to feedback.
• Demonstrates humility, empathy, and a respectful attitude towards colleagues and team dynamics

We believe that competent engineers can adapt promptly with little help, so even if you don’t satisfy all the criteria but have a strong belief in your competencies, please do still apply!

Our Tech Stack

Toast’s products run on a stack that ranges from guest and restaurant-facing Android tablets to backend services in Java & Kotlin to internal, guest-facing and restaurant-facing web apps. Our backend services follow a microservice architecture written using Java and DropWizard, with services communicating in event-driven fashion using Apache Pulsar. We use Apache Camel for implementing Enterprise Integration Pattern. We use AWS extensively, ranging from S3 to DynamoDb to Lambda. We have our own platform for dealing with user management, service elevations and robust load balancing. Toast stores data in a set of sharded Postgres databases  & DynamoDb, and utilizes Apache Spark for large scale data workloads including query and batch processing. The front-end is built primarily using React and ES6. The main Toast POS application is an Android application written in Java and Kotlin. For data between tablets and our cloud platform we operate RabbitMQ clusters as well as direct tablet communication to the back end. We use Datadog for system and application metric and monitoring. We use Splunk for log aggregation.