Jobs at Priceline

As a Senior Site Reliability Engineer, you will enhance observability systems, support production reliability, and improve incident response times through effective monitoring and analytics strategies.

The Senior Data Scientist will translate business problems into ML challenges, develop scoring and ranking models, and design content personalization strategies while collaborating across teams.

Lead product discovery, define vision and outcomes, prioritize backlog, and drive delivery by partnering with design, engineering, data, and business stakeholders to reduce flight P&L risk and deliver measurable business value.

Lead cloud engineering projects to deliver high-traffic cloud services, support agile infrastructure development, and ensure enterprise architecture alignment with security and governance.

As an Analyst in Accommodations, you will analyze business performance, build dashboards, lead exploratory analyses, and collaborate with teams to enhance decision-making and outcomes.

As a Data Engineer, you will work on data systems, participate in cloud migration, analyze data for product performance, and maintain data infrastructure.

Design, build, and maintain low-latency, high-throughput backend services and REST APIs using Java and Spring Boot. Work in an agile, cross-functional team on microservices architectures, cloud platforms (GCP/AWS/Azure), and SQL-based data investigation; apply CI and automated testing practices.

Work on a cross-functional engineering team to design, build, and scale reusable frontend and backend systems for high-traffic search and booking experiences. Optimize client-side performance, improve rendering and failure recovery, enable real-time personalization, and collaborate across web and mobile platforms.

Lead and grow Data Engineering teams to deliver secure, scalable data solutions. Drive delivery execution, agile ceremonies, design reviews, and cross-functional alignment with Product and Architecture while championing quality, CI/CD, and performance.

Own and coordinate portfolio release planning, readiness checkpoints, and cross-team communications. Manage release risk, quality gates, CI/CD and automation improvements, and compliance controls. Track release health metrics, run retrospectives, and support stakeholder alignment and post-release analysis.

Build, operate, and evolve Priceline's developer platform: internal tools, CI/CD, deployment orchestration, and developer workflows. Design and maintain services/APIs integrating with GitHub, ArgoCD, Argo Workflows, Codefresh, Kubernetes and cloud. Collaborate cross-functionally, write well-tested code, debug platform issues, and improve developer productivity and governance.

Support legal operations by managing corporate filings, providing litigation support, overseeing intellectual property, and improving knowledge management processes.

Design and evolve scalable data architectures and frameworks for customer acquisition and retention. Lead technical decision-making, governance, and cross-functional collaboration; mentor engineers and introduce innovative data solutions like Data Mesh and real-time feature stores.

As a Software Engineer, you will develop scalable software, optimize automation, write maintainable code, and collaborate with cross-functional teams to enhance product delivery.

As a Software Engineer, you will develop and optimize scalable software, collaborate with cross-functional teams, and implement systems using Core Java and SQL.

The Associate Data Engineer will work on big data systems, support cloud migration, analyze data to improve products, and troubleshoot data infrastructure issues.

Build and scale centralized end-to-end testing platforms, CI/CD workflows, and AI-augmented internal tools to improve developer experience and automate test reliability for mobile and web applications. Integrate tests into pipelines, design execution strategies, observability dashboards, and provide strategic consulting and evangelism to product teams.

Build internal tools, automations, and LLM-powered workflows; embed with product teams to prototype and generalize solutions; create data pipelines and measurement layers to track AI and tool usage; ensure telemetry, reliability, and reusable platform patterns.

Build internal tools, automations, and AI-augmented workflows by embedding with product teams, generalizing solutions into shared platforms, integrating AI vendors, and creating measurement pipelines to track spend, adoption, and outcomes.

Build internal tools, automations, and AI-augmented workflows by embedding with teams, generalizing solutions into reusable platforms, integrating with vendors and internal systems, and creating measurement pipelines to track spend, adoption, and ROI signals.