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Description:
Oversee is reimagining how corporate travel is managed through cutting-edge technology and machine learning solutions.
The company aims to replace outdated, manual processes to unlock cost savings, efficiency, and smarter decisions for global enterprises.
As a Senior Full-Stack Software Engineer, you will design scalable systems, solve technical challenges, and impact how companies manage billions in travel spend.
Responsibilities include designing, building, and maintaining high-performance backend services, data pipelines, and distributed infrastructure.
You will develop front-end features in TypeScript/React, implement complex business logic, and optimize fare tracking solutions.
The role involves contributing to architectural decisions for high-scale applications and integrating with third-party APIs.
Collaboration with product and business teams is essential to deliver impactful features.
Requirements:
You must have 5+ years of experience in software engineering with a proven track record of building production systems.
A strong background in designing scalable, distributed applications is required.
Hands-on experience with Python/Django and Java/Kotlin (JVM stack) is necessary.
Familiarity with TypeScript/React is expected.
A solid understanding of Linux runtime environments is essential.
You should be skilled at identifying and solving performance bottlenecks.
Excellent collaboration skills and the ability to give and receive constructive feedback are required.
Fluency in English, with strong written and verbal communication skills, is necessary.
A proactive, curious attitude and eagerness to keep learning are important.
Benefits:
Oversee offers a dynamic, fast-paced, and positive work environment.
The company is experiencing exponential year-over-year revenue growth and has partnerships with Fortune 500 companies.
Employees have the opportunity to shape the future of business travel and make a meaningful impact.
The workplace is committed to being an equal opportunity employer, providing employment opportunities without regard to various personal characteristics.