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For Employers

Premium Employer

Toast

Compare

3.7

based on 24 Reviews

2 Toast Senior Software Engineer Jobs

Senior Software Engineer

Toast

3.7

based on 24 Reviews

5-9 years

Bangalore / Bengaluru

1 vacancy

Senior Software Engineer

Toast

posted 4d ago

Job Role Insights

Flexible timing

Key skills for the job

Python SQL Machine Learning Analytical Chemistry Open Source Apache Nifi

+ 2 more

Job Description

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).

Employment Type: Full Time, Permanent

Read full job description

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