
Fullstack Engineer - Y Combinator Travel / Airline SaaS
at Y Combinator Travel / Airline SaaS
NetSysCon is looking for a Full Stack Engineer for a travel/airline SaaS start-up. They have partnered with major airlines and entertainment brands such as Disney Theatrical Group, Qantas, Iberia, Alaska, Malaysia Airlines, Vistara, IndiGo, Volaris, and others. Their platform offers innovative tools to drive revenue, operational efficiency, and digital shopping conversion.
Job Profile
Work on all elements of the stack from data modeling and back end API's to UI implementation.
Working with airlines on integrations deep within their systems (in person, if you like!).
Assisting with key architecture, platform and infrastructure design.
Ensuring the system runs and scales smoothly, with high availability and resilience to failure.
What we use:
Python, Django, Celery
React, TypeScript
Scikit-learn, PyTorch, Tensorflow
Postgres, Redis
Kubernetes, Docker, AWS, Terraform, CDK, Github Actions
Our client is a tech company first so engineering is the largest, most important department. They care about developer ergonomics and believe investing time and effort in getting software and platform right is not-negotiable. They have:
A comprehensive automated unit test suite (frontend + backend);
Fully automated CI/CD (git push is all you need);
Fully containerized / reproducable dev environment (single-command bootstrap);
Redundant, self-healing, auto-scaling infrastructure;
Requirements
Full-stack engineering experience in at least one of the following languages/frameworks - Backend: Python/Django (preferred), Ruby/Rails, Node;
Frontend: React (preferred), Angular, Vue.
Evidence of exposure to architectural patterns of large, complex web applications (eg, well-designed APIs, asynchronous data pipelines/message queues, distributed systems).
Engineers who have experience with software best practices such as unit testing, reusable components, traceability.

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Location: Bangalore
Experience Level: 6–10 Years
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Key Responsibilities
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Required Skills & Qualifications
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Key Responsibilities
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Required Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, or a related field.
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Preferred Qualifications
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- 5-7 years of relevant product design, development and testing experience
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- Database – primarily Mongo DB, Knowledge of postgres /MySQL is good to have
- DevOps - Knowledge of DevOps will be good to have
- API - Preferred experience with one of API gateway platform (Apigee, Mulesoft, Kong, WSO2)
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- Ability to work under pressure and meet tight deadlines.
- Experience of working with globally distributed teams.
- Innovative and Self learner for mentoring and problem resolutions.
- Ability to mentor and manage product teams
development experience. Must be well conversant with latest design patterns.
● Very strong in Object Oriented Programming.
● Development model Server Side and Client Side. Hands on working experience with
HTML, JavaScript frameworks like Angular JS, Bootstrap, JQuery
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Github/Stockoverflow or Angel co Account will be added advantage
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Sr SDE’s take ownership of team architecture, providing a system-wide view and design guidance. They drive engineering best practices (e.g., Operational Excellence, Security, Quality, etc.) and set standards. They work to resolve the root cause of endemic problems which may require them to influence software decisions made by other teams. When confronted with discordant views, they are able to find the best way forward and influence others to follow that path (build consensus). They actively contribute in recruiting and help others leverage their expertise, by coaching and mentoring in organization or at their locations. They provide technical assessments for promotions in SDE job family.
As a norm, Amazon SDE’s have industry-leading technical abilities. They recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations. They write high quality, maintainable, and robust code, often in Java or C++. They solve problems at their root, stepping back to understand the broader context. They build flexible systems without over-engineering and choose simple, straightforward solutions over more complex ones. They understand a broad range of data structures and algorithms and know how, when and when not to use them; recognize and use design patterns to solve business problems. They understand how operating systems work, perform and scale. Sr SDE’s write software that is easy for others to contribute to.
Amazon SDE’s build software for business’ sake, not for technology’s sake. They have an understanding and empathy for Amazon’s customers and business objectives, particularly those aspects relevant to their teams and divisions. They work in a team, driving things forward, they collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
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