Most boards and executives are currently flying blind when it comes to cyber risk. At Safe, we've built an AI-driven engine that finally gives the C-Suite a clear, quantified, and real-time view of their security posture. We don't just provide data; Today, we are proud to serve 10% of the Fortune 500 , protecting global icons such as Apple, Netflix, AT&T;, Verizon, and Victoria's Secret .

As we scale toward our next chapter, we are looking for high-performers who want to do the best work of their careers at the intersection of AI and Cybersecurity.
Whether it's a line of code or a sales deck, we aim for Tier-1 quality every time.
Methodology & Rigor: We don't wing it. From Force Management and MEDDICC in sales to data-driven sprints in engineering, we rely on proven frameworks to stay disciplined and predictable.
Radical Candor: We move too fast for politics or sugar-coating. We value direct, honest feedback that helps us find the right answer quickly.
Comprehensive Benefits: We provide top-tier medical insurance and wellness perks to ensure you and your family are well cared for.
For high-performers, the path for advancement moves at the speed of your ambition.

Years of Experience: 1-3 years
Code Mastery: Own feature development and write clean, efficient, maintainable, and production-quality code that drives the product forward.
Technical Contribution: Participate actively in architecture and design discussions and contribute to building scalable, secure, and high-performance solutions.
Code Review:



Conduct thorough code reviews to maintain code quality, identify opportunities for improvement, and provide constructive feedback to other engineers.
Cloud Integration: Work with cloud services such as AWS Lambda, API Gateway, EC2, S3, RDS, and other relevant AWS services to build and optimize cloud-based solutions.
Project Execution: Contribute to project planning and execution and take ownership of delivering features within agreed timelines and scope.

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

- 1–3 years of professional software development experience building scalable backend systems.
- Strong proficiency in Go, Python, or Node.js for backend development.
- Experience designing and building RESTful APIs and microservices architectures .
- Hands-on experience with cloud platforms such as AWS, GCP, or Azure .
- Experience building and deploying applications in containerized environments using Docker and Kubernetes .
- Strong understanding of SQL and NoSQL databases , including performance optimization techniques.
- Experience participating in system design discussions and architecture decisions .
- Working knowledge of Generative AI and LLM fundamentals, including how LLMs work, tokens, context windows, prompting, hallucinations, and common limitations.

If you're passionate about cyber risk, thrive in a fast-paced environment, and want to be part of a team that's redefining security, we want to hear from you!

📌 Software Development Engineer, AWS (Delhi)
🏢 Safe Security
📍 Delhi