Live opening · Posted 7 days ago
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Description supplied by the original job listing.
Join an AI startup backed by top Silicon Valley VCs with a mission to help enterprises embrace Gen AI by providing a layer of security, safety, and trust. The team is building advanced AI-driven systems designed to secure and scale the future of enterprise AI adoption.
As a Software Engineer, you will play a key role across multiple areas of engineering including backend development, cloud infrastructure, AI operations, distributed systems, and production deployments. While the role has a strong backend focus, the environment requires engineers who are comfortable contributing across the stack and solving complex technical challenges in a fast-paced startup setup.
This role is ideal for high-IQ, low-ego engineers who enjoy ownership, speed, and building impactful technology from the ground up.
Key Responsibilities
Design, develop, and maintain scalable backend systems and APIs
Build cloud-native applications using Python or Golang
Work on infrastructure supporting AI operations and distributed systems
Develop and optimize RESTful APIs for high-performance applications
Collaborate with frontend, infrastructure, and product teams to deliver production-ready solutions
Improve scalability, reliability, and system performance across services
Work with SQL and NoSQL databases to manage large-scale data efficiently
Contribute to production deployments, debugging, monitoring, and operational improvements
Support DevOps initiatives including CI/CD automation and cloud infrastructure enhancements
Continuously improve engineering standards, code quality, and architecture
Technical Requirements
Core Skills
1–2 years of strong software engineering experience
Strong proficiency in Python (FastAPI/Django/Flask) or Golang
Solid understanding of backend development and API architecture
Experience building and consuming RESTful APIs
Good understanding of PostgreSQL, MySQL, MongoDB, Redis, or similar databases
Familiarity with React or frontend technologies is a plus
Strong understanding of Git workflows and software engineering fundamentals
Infrastructure & Cloud
Hands-on experience with Docker and Kubernetes
Familiarity with AWS, GCP, or Azure environments
Exposure to CI/CD pipelines and deployment practices
Understanding of microservices and distributed systems architecture
Nice to Have
Experience with Kafka, RabbitMQ, or asynchronous processing systems
Exposure to AI/ML infrastructure or model deployment workflows
Familiarity with event-driven architectures
Understanding of backend security best practices
Open-source contributions or strong side projects
Who You Are
Strong problem solver with excellent engineering fundamentals
Comfortable working in high-growth startup environments
Curious, adaptable, and eager to learn quickly
Able to take ownership and work independently
Collaborative with strong communication skills
Passionate about building scalable and impactful technology
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
Why Join
Work on cutting-edge AI and security challenges
High ownership and visibility from day one
Opportunity to build large-scale systems from an early stage
Fast learning environment with exceptional growth opportunities
Collaborate with highly experienced engineering and leadership teams
Work arrangement
Yes
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