Senior Software Engineer

Now, more than ever, the Toast team is 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, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future.

Bready* to make a change?

Toast is scaling rapidly and with that growth comes an exciting new opportunity to join our new organization in Bangalore. Toast is looking for a Senior Software Engineer with a strong background in Data Engineering and understanding of AI to scale Toast AI platform and build highly impactful Fintech AI products.  We want to build a one stop shop for restaurants to make it easier, faster, and more enjoyable to manage a successful restaurant. You will enable restaurants to access data, draw meaningful insights, and take data-driven actions by leading the team to develop the best-in-class solution. 

About this roll* (Responsibilities) 

• You will help in building, maintaining and support our Data Platform and enterprise Data Warehouse as it scales to support a rapidly growing company
• You will work with engineers, data scientists and product managers in designing and implementing existing ETL pipelines for ascertaining, trans-forming, and storing restaurant orders, payments and pricing data. 
• Routinely interact with various partners such as Data Scientists, MLEs, Software Engineers, and Product managers/owners, to understand requirements for adding features to existing data pipelines and creating new data endeavors. 
• Aid in furthering development of existing optimization pieces of the ML pipeline of the underlying product engine and help turn machine learning models into business impact across Fintech product lines.
• Participate in table design of new hive tables as well as optimization of existing tables based on patterns of frequent user queries.
• Execute both tactical work fulfilling stakeholder requests for new data objects as well as strategic work planning and building infrastructure and tools to scale our analytical data capabilities
• Reoriented internal CI/CD methods to reflect best practices and promote autonomy of build and deployment. 
• Routine contributor to internal utility code base which is widely used and exhaustively reviewed by data engineers in the DIP (Data Integration Platform) and Software Engineering in the Data Platform teams.
• Extensive utilization of functional Scala methods and immersed in learning and further implementing libraries such as Cats-effect, http4s, pureconfig, and more in our code- base.
• Work with MLEs (Machine Learning Engineers) to help to create the infrastructure that enables data scientists to build, release, and monitor models at scale. 
• Mentor to junior engineers within the immediate team and those new to Toast Engineering organization.

Do you have the right ingredients*? (Requirements)

• 5+ years of experience as a Software or Data engineer.
• Strong data modeling skills - understanding the use case and delivering robust pipelines to answer questions of today and tomorrow
• Experience with cloud-based infrastructure, preferably with AWS tooling (SageMaker, DynamoDB, Athena, etc.)
• Proficient in object-oriented languages, such as Python, Java, Kotlin, Scala and expertise in SQL. No problems if you have experience with other languages. Good engineers can adapt.
• Experience designing and implementing complex and scalable data pipelines, data monitoring and quality control, and exposure to a variety of data infrastructure (data lakes, data warehouses, relational and NoSQL databases, etc.)
• You have a strong understanding of software engineering, distributed systems and Event Driven Platforms gained from hands-on experience building fault-tolerant and secure applications.
• You have experience working with product teams to invent solutions that deliver good outcomes to our customer and the company
• You demonstrate humility, empathy and respectfulness
• Enjoys building well-engineered, usable and accessible systems
• Experience working in a team with Agile/Scrum methodology

Bonus ingredients*:

• Experience with workflow orchestration tools like Apache Airflow, Mlflow and an open-source infrastructure-as-code tool such as Terraform is a plus
• Knowledge of how machine learning solutions are shipped in production environments and what tools and best practices are used for developing model deployment pipelines

• Foundational knowledge in statistical concepts (e.g. classification, regression, etc) and deep learning algorithms (e.g. CNN, RNN) is desirable
• Experience with enterprise integration patterns (e.g., message queues, publish-subscribe, event-driven architectures).

Our Spread* of Total Rewards We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

*Bread puns encouraged but not required