Principal Software Engineer, Data Platform
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?
The Data Platform team builds and manages key parts of Toast’s infrastructure. Today we support tens of thousands of restaurants that see timely and insightful data quality as critical to their success. We also work closely with other internal teams to enable them to build services and products that leverage the massive amounts of data we’ve collected. By this point next year, we are expecting to have doubled our data and traffic volume. The Data Platform builds and operates the scalable streaming data plane that will help us get there.
Are you interested in building tools on top of this data that help our customers improve their businesses? Do you believe that extraordinary products differentiate themselves by moving beyond a simple "report" into a data-rich experience? If so, we'd like you to join us.
In this role*, you will:
Technical leader of the Data Platform, connect with stakeholders, build partnerships and grow the Data Platform team in Bangalore
Own the APIs that services at Toast use to query and retrieve data
Operate and maintain our batch and streaming data processing workflows in production
Build infrastructure and services to deliver meaningful data assets to our customers and stakeholders
Collaborate with teams across the company from Engineering to Customer Success and Marketing to enhance the quality of data products.
Automate manual processes, such as data extraction and testing to streamline data processing, reduce development time and increase data reliability.
Design & develop frameworks to operationalize production pipelines and other data assets.
Optimize and improve data workflows by continually striving to reduce wasted effort, identify and correct gaps, and improve data development and deployment processes.
Own the APIs teams at Toast use to access, process, and retrieve data from implementation to productionalization (autoscaling, resiliency, etc…)
Ensure compliance with applicable data security and privacy policies, procedures, guidelines, and agreements.
Be involved in complex, high-impact projects that span multiple teams with direct business impact.
Champion best practices for development, deployment, and quality life cycles.
Do you have the right ingredients?
10+ years of experience as a Software Engineer with 5+ years working with data
Familiarity with microservice-based architecture operating at scale, preferably in a cloud environment such as AWS.
Knowledge of command line tools and the ability to jump in and assist with ops as necessary to keep the pipeline moving.
Experience in diagnosing and working with partner teams - infra, engineering, etc. to resolve data warehouse access and performance issues.
Hands-on experience in gathering and inspecting metrics from operating systems and data pipelines to assist in performance tuning and fault finding
Strong foundations in diagnosing performance bottlenecks and implementing optimizations across infrastructure, databases, web, and mobile applications
Experience in implementing strategies to increase the reliability and performance of databases, pipelines, and various systems through process optimization
Experience in software engineering best practices and tools including object-oriented programming, test-driven development, CI/CD, etc.
Strong foundations in data processing flowcharting techniques, developing data information flows, business process modeling, and scanning business requirements.
Hands-on experience with data structures, algorithms, data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis.
Experience with Java, Kafka, Groovy, Kotlin, or JVM-based language is a plus.
Experience working within the data analysis ecosystem on top of platforms such as Hadoop, Spark, Streaming Data, or Snowflake.
We are Toasters
Diversity, Equity, and Inclusion is Baked into our Recipe for Success.
At Toast our employees are our secret ingredient. When they are powered to succeed, Toast succeeds.
The restaurant industry is one of the most diverse industries. We embrace and are excited by this diversity, believing that only through authenticity, inclusivity, high standards of respect and trust, and leading with humility will we be able to achieve our goals.
Baking inclusive principles into our company and diversity into our design provides equitable opportunities for all and enhances our ability to be first in class in all aspects of our industry.
Bready* to make a change? Apply today!