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Industries
Industries We Serve
Cross-industry engineering experience across regulated and high-growth sectors.
All IndustriesSuccess Story
Engineering Capacity Extension
Zoolatech supported Grubhub's engineering expansion with senior talent across backend, data, and engineering leadership, strengthening platform, integration, and data initiatives.
Senior engineering talent
supported platform, integration, and data teams.
Large-scale platform support
with high-availability services for restaurants and diners.
Technologies
Java
Spring
Spring MVC
Python
Spark
SQL
AWS
Cassandra
MongoDB
CouchDB
Docker
Mesos
Kubernetes
Consul
Zookeeper
Eureka
JUnit
Mockito
JMeter
Gatling.io
Expertise
Back-end engineering
Data analysis / engineering
Highload
Client Overview
Grubhub
Grubhub is a leading online and mobile food ordering company that connects diners with local restaurants across the United States and London. Its platform supports restaurant partners, diners, corporate customers, and internal operations through a portfolio of brands that includes Grubhub, Seamless, AllMenus, and MenuPages.
Industries
Online food ordering and delivery
Headquarters
Chicago, IL, USA
Company size
3,000+ employees
The Challenge
Growing Integration Demands Increased Platform Complexity
Grubhub needed senior engineers to support its growing platform, distributed teams, restaurant integrations, and large-scale data initiatives.
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Platform scale and availability
The platform required highly available and fault-tolerant services capable of supporting large transaction volumes and continuous operation.
Restaurant integration complexity
Large restaurant chains and enterprise brands required custom integrations involving ordering systems, POS platforms, billing workflows, and invoicing capabilities.
Distributed team coordination
Engineering teams operated across multiple locations and required strong collaboration between product owners, leadership, architects, and engineers.
Data management challenges
Large volumes of unstructured and constantly changing menu information required scalable processing, classification, and quality controls.
Have a Similar Challenge?
Need engineering capacity for a large-scale digital platform?
Why They Chose Us
Access to Senior Engineering Expertise for High-Scale Systems
The engagement demonstrated Zoolatech's ability to provide senior engineering talent capable of contributing to platform, integration, and data-focused initiatives.
Experience with scalable systems
The required roles emphasized distributed systems, cloud technologies, automated testing, software architecture, and high-availability services.
Ability to support distributed delivery
Engineers joined existing Scrum teams and contributed within established Agile delivery processes and cross-functional environments.
Zoolatech is a senior-heavy engineering firm with Silicon Valley roots and a Miami HQ, specializing in legacy modernization, system re-architecture, and AI deployment to drive long-term, compounding value.
2017
Year Founded
600+
Employees
96%
Client Satisfaction
Workflow
Embedding Engineering Talent into Distributed Product Teams
Zoolatech supported Grubhub's engineering capacity by aligning senior technical roles with product, platform, integration, and data initiatives.
Phase 1
Role alignment
Reviewed hiring needs across Senior Java Engineer, Senior Data Engineer, Data Scientist, and Engineering Manager positions. The engagement focused on extending engineering capacity for platform, integration, and data-focused teams.
Phase 2
Technical capability mapping
Aligned role requirements with Grubhub's technology stack and delivery needs, including Java, Spring, Python, Spark, AWS, Cassandra, SQL, distributed systems, automated testing, and cloud-based infrastructure.
Phase 3
Scrum team integration
Supported engineers joining distributed Scrum teams operating between Kyiv and Chicago. Team members participated in planning, standups, demos, retrospectives, and backlog grooming activities.
Phase 4
Restaurant platform support
Supported teams responsible for developing and maintaining tools used by restaurant partners, diners, corporate customers, and internal operations. Work included menu integrations, ordering workflows, billing capabilities, and partner onboarding functionality.
Phase 5
High-availability services
Supported engineering initiatives involving multi-datacenter services, fault-tolerant architectures, highly available systems, and performance-focused backend services designed for large-scale transaction volumes.
Phase 6
Data and machine learning initiatives
Supported data engineering and data science functions focused on scalable data architectures, menu taxonomy challenges, machine learning enablement, data quality improvements, analytics infrastructure, and large-scale data processing.
Phase 7
Engineering leadership support
Supported leadership roles responsible for software architecture, Agile delivery, code quality practices, team mentorship, technical decision-making, and engineering process improvement.
Grubhub expanded engineering capacity across backend, data, and leadership functions supporting platform growth, restaurant integrations, and data-driven initiatives. Multiple engineering and data roles were successfully staffed to support distributed product teams.
Solution
Providing Specialized Engineering Support Across Platform and Data Initiatives
Zoolatech supported Grubhub's need for experienced engineers capable of contributing to backend services, restaurant integrations, data platforms, machine learning initiatives, and engineering leadership activities.
Backend engineering support
Supported development of scalable services, distributed systems, REST APIs, and high-availability applications using Java and Spring technologies.
Restaurant integration initiatives
Supported engineering efforts involving menu systems, ordering platforms, POS integrations, billing workflows, and onboarding capabilities for restaurant partners.
Data engineering and analytics support
Supported scalable data architectures, machine learning enablement, data quality initiatives, and large-scale data processing environments.
Engineering leadership capability
Supported technical leadership functions involving architecture decisions, Agile delivery, mentoring, code quality practices, and team development.
Results
Engineering Capacity Expanded Across Critical Product Areas
The engagement successfully supported staffing across backend engineering, data engineering, data science, and engineering leadership roles.
Backend engineering support added
Multiple Senior Java Engineer positions were staffed to support platform and integration initiatives.
Data expertise expanded
Senior Data Engineer and Data Scientist positions were staffed to support analytics, machine learning, and data platform initiatives.
Distributed delivery teams strengthened
Staffed engineers became part of distributed Scrum teams supporting product development across Kyiv and Chicago.
Empowerment & Value
Stronger Technical Foundations for Continued Platform Growth
The engagement increased access to senior technical expertise supporting platform scalability, data initiatives, and long-term product development.
Support for platform evolution
Engineering teams gained additional capacity to address integrations, service reliability, and growing platform demands.
Expanded technical depth
The organization strengthened capabilities across backend engineering, cloud technologies, distributed systems, data engineering, and machine learning.
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