Software Development Engineer I

Job description

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**](https://jobs.safe.security/culture/) 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: - **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. - **Problem Solving:** Troubleshoot and resolve complex technical problems by identifying root causes and implementing effective, scalable solutions. - **Collaboration:** Work closely with product managers, designers, engineers, and other stakeholders to ensure technical solutions are aligned with product and business objectives. - **Project Execution:** Contribute to project planning and execution and take ownership of delivering features within agreed timelines and scope. ### Qualifications: - 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**. - Solid understanding of distributed systems concepts such as concurrency, caching, asynchronous processing, and fault tolerance. - 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**. - Ability to work effectively in a fast-paced environment with a high degree of ownership. - Strong problem-solving and debugging skills. - **Working knowledge of Generative AI and LLM fundamentals, including how LLMs work, tokens, context windows, prompting, hallucinations, and common limitations.**