ShyftLabs Tech Stack

AI-driven data platform for real-time enterprise decision-making

Business Consulting and Services Toronto, Ontario 201–500 employees Founded 2018 Privately Held

ShyftLabs operates a data and AI infrastructure practice serving enterprise customers on real-time decision systems. The tech stack reveals a hybrid Oracle-to-cloud migration in progress: heavy Oracle estate (Siebel, Database, SOA Suite, ODI, Fusion Middleware) paired with modern streaming (Kafka, GCP Dataflow, Pub/Sub) and containerization (Docker, Kubernetes). Active adoption of GCP and Kafka, combined with projects around cloud-native integration and legacy asset migration, signals a strategic shift from traditional enterprise integration toward cloud-native data pipelines. Engineering and data roles dominate the hiring mix (58 of 75 open positions), indicating the org is scaling platform and infrastructure capacity.

Tech Stack 200 technologies

Core StackOracle Database PL/SQL JavaScript Java Kotlin GraphQL PostgreSQL Hibernate MongoDB Kafka Docker Kubernetes Jira Confluence Siebel UNIX Shell SOAP REST JSON XML Oracle SOA Suite Oracle Service Bus Oracle Data Integrator Oracle Fusion Middleware Apigee Pub/Sub Google Cloud Functions Dataflow Salesforce Service Cloud Salesforce Field Service Cloud+170 more

AdoptingKafka GCP

What ShyftLabs Is Building

◆Challenges

Performance improvement and cost efficiency
Scalable data pipelines
Performance optimization across dashboards
Improving test coverage
Scaling ml models
Performance bottlenecks
Handling billions of monthly events
Optimizing regression suites
Migrating legacy integration assets to cloud
Ensuring consistent master data across platforms

▲Active Projects

Ai infrastructure
Scalable data pipelines
Ai automation pipelines
Enterprise automation framework development
Internal data product development
Central data warehouse
Curated bi data models
Ocr-based data extraction systems
Hybrid and cloud-native integration architecture design
Coordinating headcount and hiring status reports

Hiring Activity

Steady75 roles · 25 in 30d

Department

Engineering

Data

Product

Design

Marketing

Legal

Ops

Seniority

Senior

Mid

Lead

Manager

Intern

Principal

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About ShyftLabs

ShyftLabs is a Toronto-based consulting and platform firm founded in 2018, serving enterprises on data strategy, AI automation, and real-time analytics. The company operates across three primary areas: enterprise data strategy and transformation (leveraging its Oracle consulting heritage), AI infrastructure and automation platforms (new generation of products), and customer/retail analytics. With 201–500 employees and offices spanning Canada and India, ShyftLabs delivers both consulting services and proprietary products. Current focus areas include building scalable data pipelines, migrating legacy integration systems to cloud platforms, and developing AI automation frameworks for operations and customer analytics use cases.

HeadquartersToronto, Ontario

Company Size201–500 employees

Founded2018

Hiring MarketsIndia, Canada

Frequently Asked Questions

What tech stack does ShyftLabs use?

Oracle Database, Siebel, Kafka, PostgreSQL, MongoDB, GCP (Dataflow, Cloud Functions, Pub/Sub), Docker, Kubernetes, Salesforce (Service Cloud, Field Service), GraphQL, REST, and Oracle middleware (SOA Suite, Service Bus, ODI, Fusion).

What is ShyftLabs working on?

AI infrastructure, scalable data pipelines, AI automation frameworks, cloud-native integration architecture, OCR-based data extraction, central data warehouses, and migration of legacy integration assets to cloud platforms.