Software Development Engineer I
Safe Security1 year ago
Delhi, IndiaEntry Level
Responsibilities
- Own feature development and write clean, efficient, maintainable, production-quality backend code.
- Participate in architecture and design discussions and build scalable, secure, high-performance solutions.
- Conduct code reviews and provide constructive feedback to other engineers.
- Build and optimize cloud-based solutions using AWS Lambda, API Gateway, EC2, S3, RDS, and other AWS services.
- Troubleshoot complex technical problems, identify root causes, and implement scalable solutions.
- Collaborate with product managers, designers, engineers, and other stakeholders.
- Contribute to project planning and deliver features within agreed timelines and scope.
Requirements
- 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.
- Experience designing and building RESTful APIs and microservices architectures.
- Understanding of distributed systems concepts including concurrency, caching, asynchronous processing, and fault tolerance.
- Hands-on experience with AWS, GCP, or Azure.
- Experience deploying applications in containerized environments using Docker and Kubernetes.
- Understanding of SQL and NoSQL databases, including performance optimization.
- Experience participating in system design discussions and architecture decisions.
- Strong problem-solving, debugging, ownership, and collaboration skills.
- Working knowledge of generative AI and LLM fundamentals, including tokens, context windows, prompting, hallucinations, and common limitations.
Benefits
- Meaningful equity ownership.
- Unlimited leave.
- Medical insurance and wellness benefits.
- Career advancement opportunities in a rapidly growing company.
- Role based in New Delhi.
Categories
About Safe Security
Safe Security builds an AI-driven cyber risk quantification and management platform used by CISOs, GRC, and third-party risk teams to measure and prioritize enterprise, vendor, and AI-related risks. It sells its software to large enterprises as a subscription service, integrating with security and business systems to produce board-level, dollar-based risk insights. Founded in 2012 and headquartered in Palo Alto, it is privately held.