Data Developer

Priceline • Toronto, ON

11d • CA$100,000 - CA$120,000 • Hybrid

About The Position

This role is eligible for our hybrid work model: Two days in-office. As a Data Developer in the Product Operating Model (POM), your focus is on bridging the gap between data engineering and operational excellence. You are accountable for building and maintaining the CI/CD pipelines, automation tools, and infrastructure that ensure our data systems are reliable, scalable, and high-performing. You will collaborate closely with Data Architects, Product Managers, and Engineering teams to optimize the delivery and lifecycle of trusted data solutions.

Requirements

• Bachelor’s degree in Computer Science or a related field.
• 3–5+ years of hands-on experience in DevOps, Cloud Engineering, Platform Engineering, or related fields.
• Strong understanding of DevOps principles, CI/CD practices, and automation frameworks.
• Hands-on experience with cloud platforms such as GCP, AWS, or Azure.
• Familiarity with cloud-native data, compute, storage, and IAM 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 CI/CD 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/shell scripting.
• Familiarity with databases such as MySQL, MongoDB, Redis, or Couchbase is a plus.
• Experience working with Agile tools such as Jira.
• Good troubleshooting, collaboration, and documentation skills.
• Illustrated history of living the values necessary to Priceline: Customer, Innovation, Team, Accountability and Trust.

Nice To Haves

• AWS is a plus.

Responsibilities

• Design, build, and optimize CI/CD pipelines and deployment workflows for data and AI/ML platforms.
• Develop and maintain internal tooling and self-service frameworks to improve developer productivity for data and AI/ML workloads.
• Implement GitOps-based workflows to manage infrastructure and application deployments.
• Continuously analyze and improve existing CI/CD processes with a focus on reliability, scalability, and operational excellence.
• Design, implement, and support scalable cloud infrastructure primarily within the GCP ecosystem.
• Support containerized and microservice-based platforms using Kubernetes, Helm, and Docker.
• Manage declarative infrastructure-as-code (IaC) systems using Terraform.
• Ensure scalability, reliability, and performance of data and AI/ML platforms across cloud environments (GCP preferred, AWS is a plus).
• Implement and maintain logging, alerting, and monitoring solutions using tools such as 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.
• Partner with Data Architects, Data Engineers, ML/AI teams, and Infrastructure teams to align infrastructure with enterprise standards and governance policies.
• Facilitate collaboration between Data and AI/ML engineering and operations teams to ensure smooth delivery and release readiness.
• Embed security, privacy, and operational best practices into infrastructure and deployment workflows.
• Participate in infrastructure design discussions, technical planning, and risk assessments.

Benefits

• Health & wellness coverage including medical, dental, vision, and mental health resources
• Generous time off including PTO, holidays, a company-wide Priceline Pause reset week, and paid volunteer days
• Work/life support including the ability to work up to 4 weeks per year from anywhere, parental leave, dependent care and family support resources, Summer Fridays, and office perks like stocked kitchens and catered meals (varies by location)
• Financial security programs such as retirement plans with company contributions, life and disability coverage, and tax-advantaged accounts
• Signature travel perks including employee-only discounts on hotels and flights, VIP deals, and Big Deal Bucks credits
• Additional perks & discounts like travel and partner discounts, tuition support, legal support, and pet benefits
• A people-first culture with Employee Resource Groups (ERGs), social events, recognition programs, and service awards that help you connect, grow, and celebrate together

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level