Full-Time

Platform Developer

Data/ML

Updated on 8/23/2026

Priceline

Priceline

1,001-5,000 employees

Online travel agency offering discount deals

Compensation Overview

CA$100k - CA$120k/yr

+ Annual bonus + Equity grant

Toronto, ON, Canada

Hybrid

Two days on-site per week are required; remaining days may be remote or in the office.

Bachelor's

Category
DevOps & Infrastructure (1)
Required Skills
Bash
Kubernetes
Microsoft Azure
Python
Airflow
Incident Response
MySQL
Machine Learning
Docker
Role-based Access Control
Microservices
AWS
JIRA
New Relic
Terraform
Redis
MongoDB
REST APIs
DevOps
Splunk
Helm
Google Cloud Platform

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Requirements
  • A Bachelor's degree in Computer Science or a related field.
  • Three to five or more years of hands-on experience in DevOps, Cloud Engineering, Platform Engineering, or related fields.
  • Strong understanding of DevOps principles, continuous integration and continuous delivery practices, and automation frameworks.
  • Hands-on experience with cloud platforms such as Google Cloud Platform, Amazon Web Services, or Azure.
  • Familiarity with cloud-native data, compute, storage, and identity and access management services across major cloud providers.
  • Experience with orchestration and workflow management tools such as Airflow or equivalent platforms.
  • Experience with infrastructure as code tools such as Terraform.
  • Strong experience with container orchestration platforms including Kubernetes and Helm.
  • Exposure to continuous integration, continuous delivery, and deployment tools such as GitHub Actions.
  • Experience with monitoring and observability platforms such as Splunk, Cloud Logging, and New Relic.
  • Proficiency in scripting languages such as Python and Bash or shell scripting.
  • Experience working with Agile tools such as Jira.
  • Good troubleshooting, collaboration, and documentation skills.
Responsibilities
  • Design, build, and optimize continuous integration and continuous delivery pipelines and deployment workflows for data and artificial intelligence and machine learning platforms.
  • Develop and maintain internal tooling and self-service frameworks to improve developer productivity for data and artificial intelligence and machine learning workloads.
  • Implement GitOps-based workflows to manage infrastructure and application deployments.
  • Continuously analyze and improve existing continuous integration and continuous delivery processes with a focus on reliability, scalability, and operational excellence.
  • Design, implement, and support scalable cloud infrastructure primarily within the Google Cloud Platform ecosystem.
  • Support containerized and microservice-based platforms using Kubernetes, Helm, and Docker.
  • Manage declarative infrastructure-as-code systems using Terraform.
  • Ensure the scalability, reliability, and performance of data and artificial intelligence and machine learning platforms across cloud environments.
  • Implement and maintain logging, alerting, and monitoring solutions using Splunk, Cloud Logging, and New Relic.
  • Monitor, troubleshoot, and resolve production issues, including participating in incident response and root-cause analysis.
  • Build automation and operational improvements to enhance platform reliability, scalability, and developer experience.
  • Embed security, identity and access management, role-based access control, and policy controls into infrastructure and deployment workflows.
  • Partner with Data Architects, Data Engineers, machine learning and artificial intelligence teams, and Infrastructure teams to align infrastructure with enterprise standards and governance policies.
  • Facilitate collaboration between Data and artificial intelligence and machine learning engineering and operations teams to ensure smooth delivery and release readiness.
  • Participate in infrastructure design discussions, technical planning, and risk assessments.
Desired Qualifications
  • Familiarity with databases such as MySQL, MongoDB, Redis, or Couchbase.
  • Exposure to artificial intelligence, machine learning, or generative artificial intelligence pipelines in production, including training, serving, evaluation, monitoring, and retraining.
  • Familiarity with site reliability engineering practices such as service-level objectives, error budgets, and on-call rotations.
  • Background in high-traffic consumer or travel and e-commerce technology environments.

Priceline is an online travel marketplace that connects travelers with airlines, hotels, car rental companies, cruises, and vacation packages. It uses two business models: an agency model that earns commissions on bookings and a merchant model that buys travel services wholesale and resells them at a markup. It offers fixed-price listings and discount options such as Express Deals and Name Your Own Price, plus flexible options like free cancellations and pay-at-arrival, accessible via a mobile app. Under Booking Holdings, its goal is to help budget travelers access a wide range of options while giving consumers more negotiating power through transparent pricing and valuable deals.

Company Size

1,001-5,000

Company Stage

Series B

Total Funding

$77.4M

Headquarters

Norwalk, Connecticut

Founded

1998

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Simplify Jobs

Simplify's Take

What believers are saying

  • Priceline’s June 2026 Penny upgrade lifted conversion and saved ten minutes per trip.
  • Booking Holdings Q2 2026 revenue rose 8% to $7.35 billion, supporting Priceline.
  • Multi-language AI booking expands Priceline’s reach beyond English-speaking leisure travelers.

What critics are saying

  • Google, Booking.com, and TripAdvisor agents weaken Priceline’s search funnel by 2026.
  • Agency revenue fell 6.9% year over year in Booking’s Q2 2026 mix.
  • If Penny underperforms, Priceline becomes a feature inside rivals’ AI booking agents.

What makes Priceline unique

  • Priceline’s Penny now books trips in one conversation with Anthropic Claude, June 2026.
  • Booking Holdings’ 2026 scale gives Priceline inventory breadth across 100-plus countries and partners.
  • Priceline still wins budget travelers with Express Deals and opaque inventory pricing.

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Benefits

Hybrid Work Options

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

-2%

2 year growth

0%
PR Newswire
Jun 23rd, 2026
Americans cut alcohol, dining out to afford summer holidays despite rising costs

Priceline's 2026 State of Summer Travel Report reveals Americans are cutting back on nearly everything to fund summer holidays despite rising costs. The survey of 2,500 US adults found 79% plan to take at least one trip this summer, even though 44% say such a vacation feels out of reach. Eighty-four percent of Americans report paying more and getting less for travel, whilst 55% find it less affordable than last year. Over one-third have already cut everyday expenses to fund trips, with 83% of adults willing to give up alcohol before vacation. Parents and millennials face the most pressure, with 28% of millennials planning to spend $5,000 or more this summer. Sixty-nine percent regret past cost-cutting decisions, whilst half plan to use AI tools to find better deals.

PR Newswire
Jun 3rd, 2026
Priceline's Penny AI assistant goes fully agentic, booking trips in one conversation with Anthropic's Claude

Priceline has launched an enhanced version of Penny, its AI travel assistant, now powered by Anthropic's Claude. The agentic system allows travellers to move from trip planning to booking within a single conversation, handling complex requests like comparing flights across multiple destinations. The experience features an interactive map that updates during conversations, along with personalised recommendations called Penny's Pick and Penny's Take. Built on Priceline's proprietary AI stack, the system integrates Claude for conversational reasoning, whilst Google Cloud and OpenAI support search and voice capabilities. Penny connects to real-time inventory from thousands of partners across over 100 countries. Early testing shows travellers using Penny demonstrate higher conversion rates and save approximately ten minutes per trip compared to those calling customer support. The service now supports multiple languages.