Senior Software Engineer (Automation)

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 21 hours ago

Vacancies: 1 Vacancy

Job Summary

Powering the agentic revolution in travel. Sabre is an AI-native technology leader backed by one of the worlds largest travel data clouds. Built on an open modular cloud-native architecture Sabre serves as the backbone for both established leaders and bold new disruptors guiding them to the next age of travel retailing through intelligent connected and personalized experiences. With AI at its core and operating at unparalleled scale Sabre transforms insights into innovation empowering airlines hoteliers agencies and other partners to retail distribute and fulfill travel worldwide.

Senior Software Engineer Automation (Data Engineering Python BigQuery)

Overview

Sabre is the global leader in innovative technology that leads the travel industry. We are always looking for talented and driven engineers who are passionate about building scalable cloud-native software solutions. If you enjoy solving complex technical problems working with modern cloud technologies and collaborating in Agile teams to deliver high-quality productsthen Sabre is the place for you.

We are seeking a Senior Software Engineer Automation with 68 years of experience in backend and data engineering test automation. This role is ideal for an experienced automation engineer who has strong expertise in Python PySpark and BigQuery and a deep understanding of data validation ETL testing and large-scale data platform quality engineering.

While the role includes some UI automation using Playwright it is predominantly focused on backend API and data pipeline automation. The ideal candidate should have strong programming skills solid SQL expertise (especially BigQuery) and experience validating complex data engineering workflows in cloud environments.

You will work closely with Data Engineers Backend Engineers Product Managers and DevOps teams to ensure high data quality reliability scalability and performance of modern data platforms.

Responsibilities

Automation Strategy & Framework Development

Design develop and maintain robust automation frameworks for backend systems and data pipelines.
Build scalable automation solutions using Python and PySpark for validating large datasets.
Develop automated validation suites for ETL/ELT pipelines and data transformations.
Create reusable libraries for data quality checks schema validation reconciliation and regression testing.
Define automation best practices for data engineering quality assurance.

Data Engineering & BigQuery Testing

Write complex SQL queries in BigQuery for data validation transformation verification and reconciliation.
Validate data ingestion transformation aggregation and reporting layers.
Perform large-scale data comparisons across systems and environments.
Ensure correctness of partitioned tables clustered tables and performance-optimized queries.
Validate data quality metrics such as completeness consistency accuracy and timeliness.
Optimize test queries for performance and cost efficiency in BigQuery.

Backend & API Automation

Automate REST API testing using Python-based frameworks.
Validate business logic data contracts and service integrations.
Perform contract testing and integration testing for distributed systems.
Implement end-to-end automated regression suites for backend services.

UI Automation (Playwright)

Develop and maintain UI automation scripts using Playwright.
Automate critical user journeys and data-driven UI validation scenarios.
Integrate UI tests into CI/CD pipelines.
Ensure cross-browser automation coverage where required.

(Note: UI automation is a secondary responsibility; primary focus is backend and data automation.)

CI/CD & DevOps Integration

Integrate automation suites into CI/CD pipelines.
Enable automated test execution for pull requests releases and scheduled runs.
Work with DevOps teams to ensure reliable test environments and test data management.
Monitor automation results and improve test stability and coverage.

Quality Engineering & Collaboration

Participate in requirement reviews to identify test scenarios early.
Collaborate with Data Engineers to validate complex transformations and business rules.
Mentor junior engineers on automation best practices.
Contribute to continuous improvement of automation standards tooling and processes.

Required Skills

Experience

68 years of experience in software engineering with a strong focus on automation.
Proven experience in backend and data engineering automation.

Technical Skills

Strong programming expertise in Python.
Hands-on experience with PySpark for data validation and large-scale dataset testing.
Deep expertise in Google BigQuery including:
- Complex SQL queries
- Data modeling validation
- Query optimization
- Partitioning and clustering concepts
Experience validating ETL/ELT data pipelines.
Strong understanding of data warehousing concepts and distributed data processing.
Experience in API automation and backend testing frameworks.
Experience with Playwright for UI automation.
Familiarity with Git-based version control systems.

Cloud & Platform Knowledge

Experience working in cloud environments (preferably GCP).
Understanding of cloud-based data architectures.
Familiarity with CI/CD pipelines and automated test execution.
Experience working with containerized environments is a plus.

Quality & Engineering Practices

Strong understanding of test design principles and automation patterns.
Experience in data reconciliation schema validation and data quality frameworks.
Ability to design scalable and maintainable automation frameworks.
Strong debugging and root cause analysis skills.

Soft Skills

Strong analytical and problem-solving skills.
Excellent communication skills and ability to work in cross-functional teams.
Ability to take ownership of quality outcomes.
Proactive mindset toward improving automation maturity and coverage.

Qualifications

Bachelors Degree in Computer Science Engineering or related field (required).
Masters Degree in Computer Science or related field (preferred).
Experience working in high-scale data platforms or enterprise-grade systems is strongly preferred

We will give careful consideration to your application and review your details against the position criteria. You will receive separate notification as your application progresses.

Please note that only candidates who meet the minimum criteria for the role will proceed in the selection process.

#LI-Hybrid#LI-NG1

Required Experience:

Senior IC

Powering the agentic revolution in travel. Sabre is an AI-native technology leader backed by one of the worlds largest travel data clouds. Built on an open modular cloud-native architecture Sabre serves as the backbone for both established leaders and bold new disruptors guiding them to the next age...