Senior software Engineer

Sabre is a technology company that powers the global travel industry. By leveraging next-generation technology, we create global technology solutions that take on the biggest opportunities and solve the most complex challenges in travel. 

Positioned at the center of the travel, we shape the future by offering innovative advancements that pave the way for a more connected and seamless ecosystem as we power mobile apps, online travel sites, airline and hotel reservation networks, travel agent terminals, and scores of other solutions.

Simply put, we connect people with moments that matter.

Senior Machine Learning Engineer |Sabre

About Sabre

Sabre is the global leader in innovative technology that leads the travel industry. We are always looking

for bright and driven people with a penchant for technology, are hackers at heart and want to hone their

skills. If you are interested in challenging work, being part of a global team, and solving complex

problems through technology, business intelligence and analytics, and Agile practices. In that case, Sabre

is right for you! It is our people who develop and deliver robust solutions that meet the current and

future needs for our airline, hotel, and travel agency customers.

About Product

Sabre Retail Intelligence is a suite of retailing products that enable airlines to price, personalize and

package offers traveler’s want. Instead of static offers based on manual rules, airlines can

dynamically create personalized Air + Ancillary Offers. Retail Intelligence is the first suite of products

powered by Sabre Travel AI™ technology that uses advanced Machine Learning Models to test and

learn.

About the Role

The role of Senior Software Engineer offers an exciting opportunity to be part of and lead an innovative

team of experts involved in building class-leading solutions in the areas of Airline Offer Management

systems using cutting-edge technologies. The opportunity provides space to showcase creative intellect

and learn new trends in business, technology, and innovation.

Responsibilities

• Design, code, and develop new features/fix bugs/add enhancements.

• Analyze and improve the efficiency, scalability and stability of various system resources.

• Lead and Mentor junior engineers and drive a culture of technical perfection.

• Drive creative and innovative solutions to complex problems, exemplifying good technical

discernment.

• Drive improvements and new approaches to address potential systemic pain points and

technical debt, anticipate and avoid problems.

• Take a hands-on approach in developing prototypes, independently and with others, to establish

design decisions and/or technical feasibility.

• Evaluate, Install, Setup, Maintain and Upgrade, Data Engineering, Machine Learning and

CI/CD infrastructure tools hosted on Cloud (GCP/AWS)

• Drive the CI/CD infrastructure tooling-related work in collaboration with various internal teams

to get the user stories, epics, and goals to closure.

• Propose, participate, and implement architecture-level enhancements/changes

strategically through Dev/Stage/Prod environments.

• Design, evangelize, deliver comprehensive best practices & efficient usage of available

tooling resources/capabilities to run high-performance systems.

• Provide innovative & and strategic solutions, along with cost & risk analysis, to improve

the stability, scalability, and performance of the tools' infrastructure.

• Perform troubleshooting, analysis, and resolution of environmental issues.

• Innovate and automate processes/tasks to improve operational efficiency.• Document and maintain application setup, runbooks, administration, and troubleshooting

guides.

Required Skills:

• Proficient in Software Engineering and Data Engineering with a desire to learn Machine Learning,

Google Vertex AI, Tensor Flow, Data engineering, Google Big Query, & and Python

• Programming Skills

o Algorithms

o Design Skills

o Refactoring Skills

o Debugging Skills

o Unit testing Skills

• Database

o SQL Databases (Oracle/MySQL/MSSQL etc.,)

o No SQL Databases

o Data Lake, Snowflake

Education:

• Graduate in any discipline

Experience:

• 5 - 7 Years.

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.