Software Development Engineer I

Most boards and executives are currently flying blind when it comes to cyber risk. They are guessing. 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; we provide certainty.
We are a $170M Series C-funded category leader. We don’t play in the mid-market; we operate at the highest levels of global enterprise. 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.
The Culture Memo: Our Operating System
Safe is not a typical corporate environment. We are a high-intensity, mission-driven team. We value builders who want to define a category and work alongside people who are equally committed to excellence.
Extreme Ownership: We don’t do "not my job." We hire people who see a gap and own the solution from start to finish.
The Elite Standard: We serve the most sophisticated companies on the planet. Our work must be bulletproof. 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.
The Series C Hustle: We have the stability of a well-funded leader but the heart of a startup.
The Perks & Ownership:
We want our team to feel like owners because they are owners. We trust our people to manage their results and their time.
Meaningful Equity: Every "Safestar" is a shareholder. You aren’t just an employee; you are a partner in our success.
Unlimited Leaves: We don’t believe in clock-watching. We offer unlimited leave because we trust you to take the time you need to recharge while staying committed to the mission.
Comprehensive Benefits: We provide top-tier medical insurance and wellness benefits to ensure you and your family are well cared for.
Career Trajectory: We are growing aggressively. For high-performers, the path for advancement moves at the speed of your ambition.

Years of Experience: 1-3 years
 
Locations: New Delhi

Core Responsibilities:

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Code Mastery: Own feature development and write clean, efficient, maintainable, and production-quality code that drives the product forward.

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Technical Contribution: Participate actively in architecture and design discussions and contribute to building scalable, secure, and high-performance solutions.

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Code Review: Conduct thorough code reviews to maintain code quality, identify opportunities for improvement, and provide constructive feedback to other engineers.

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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.

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Problem Solving: Troubleshoot and resolve complex technical problems by identifying root causes and implementing effective, scalable solutions.

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Collaboration: Work closely with product managers, designers, engineers, and other stakeholders to ensure technical solutions are aligned with product and business objectives.

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Project Execution: Contribute to project planning and execution and take ownership of delivering features within agreed timelines and scope.

Qualifications:

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

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1–3 years of professional software development experience building scalable backend systems.

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Strong proficiency in Go, Python, or Node.js for backend development.

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Experience designing and building RESTful APIs and microservices architectures.

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Solid understanding of distributed systems concepts such as concurrency, caching, asynchronous processing, and fault tolerance.

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Hands-on experience with cloud platforms such as AWS, GCP, or Azure.

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Experience building and deploying applications in containerized environments using Docker and Kubernetes.

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Strong understanding of SQL and NoSQL databases, including performance optimization techniques.

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Experience participating in system design discussions and architecture decisions.

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Ability to work effectively in a fast-paced environment with a high degree of ownership.

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Strong problem-solving and debugging skills.

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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! 🚀

Department: Product and Engineering
Team: Engineering