Launchpad Technologies Inc. Tech Stack

Integration platform and nearshore services for digital transformation

IT Services and IT Consulting Vancouver, British Columbia 51–200 employees Founded 2018 Privately Held

Launchpad operates a dual-revenue model: an iPaaS platform (Passport) for application and data integration, plus a managed services arm providing nearshore technical staff. The tech stack—AWS, Azure, GCP, Kafka, Kubernetes, Apache Camel, Spring Boot—reveals infrastructure-heavy engineering. Active projects span real-time data pipelines, lakehouse migrations, and spend-management implementations, while pain points cluster around CI/CD optimization and legacy-to-cloud data warehouse transitions. Hiring is engineering-focused (7 of 12 roles) with mid-level seniority dominant, suggesting execution-stage scaling rather than architectural buildout.

Tech Stack 163 technologies

Core StackAWS Terraform Ansible CloudFormation Docker Kubernetes GitLab Python Prometheus Grafana Elasticsearch Datadog Java PostgreSQL Angular React Spring Okta Azure AD Azure GCP Bash PowerShell IAM Apache Camel Spring Boot Struts SOAP PingFederate SailPoint+131 more

ReplacingAzure SQL

What Launchpad Technologies Inc. Is Building

◆Challenges

Optimizing ci/cd pipelines
Building scalable secure environments in the cloud
Migrating legacy data warehouse to lakehouse
Optimizing real-time data performance
Reducing silos across data engineering and reporting teams
Scalable secure cost-efficient cloud infrastructure
Implementing spend-management platform
Optimizing financial workflows
Enhancing automation and process efficiency
Manual spreadsheet-based operations

▲Active Projects

Building modern data platform using microsoft fabric
Designing canonical data model
Building real-time data pipelines
Implementation of spend-management saas platform
Outbound outreach strategy for nearshore staffing
Discovery call qualification for ceo
Real-time train tracking and delay management
Crew scheduling analytics
Automated guest seating allocation

Hiring Activity

Accelerating10 roles · 10 in 30d

Department

Engineering

Data

Sales

Support

Seniority

Mid

Senior

Junior

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About Launchpad Technologies Inc.

Launchpad Technologies, founded in 2018 and based in Vancouver, delivers digital transformation services through two channels: a Passport integration platform (built on Apache Camel, MuleSoft, and cloud infrastructure) and a staffing practice providing nearshore engineers in aligned time zones. The company serves mid-market enterprises navigating application modernization, data integration, and cloud migration. Current project work includes real-time data platforms on Microsoft Fabric, canonical data modeling, lakehouse migrations from legacy warehouses, and custom implementations like spend-management and crew scheduling systems. The organization maintains a lean structure of 51–200 employees with concentrated engineering and data teams.

HeadquartersVancouver, British Columbia

Company Size51–200 employees

Founded2018

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Launchpad Technologies use?

Core: AWS, Azure, GCP, Kubernetes, Docker, Terraform. Integration layer: Apache Camel, MuleSoft, Spring Boot, Java. Data: PostgreSQL, Elasticsearch, Python. Observability: Prometheus, Grafana, Datadog. Identity: Okta, Azure AD, PingFederate. Migrating off Azure SQL.

What is Launchpad Technologies working on?

Real-time data pipelines, Microsoft Fabric platform builds, lakehouse migrations, canonical data models, spend-management SaaS implementations, train tracking systems, and crew scheduling analytics. Also scaling a nearshore staffing outreach program.

How this profile is built

Launchpad Technologies Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.