Backend Cloud Engineer

San Francisco 26 days agoFull-time External
Negotiable
• NOTE*: This role is a full-time, on-site presence at our San Jose, California, office, 5 days per week. We're hiring for a Backend Cloud Engineer at an exciting cybersecurity Startup in the SF Bay Area. Are you passionate and eager to make a significant impact in the cybersecurity space? Join us at our cutting-edge startup in the San Francisco Bay Area, where we assemble a world-class team to tackle some of the most pressing cybersecurity challenges. Why Join Us? $25M Seed Funding: We are well-funded, having raised $25 million in our seed round, providing the resources to innovate and scale rapidly. Proven Early Success with the Fortune 500: We have begun partnering with Fortune 500 companies, achieving early success and building trust in our innovative solutions. This highlights the immense potential and reliability of our AI-powered cybersecurity offerings. Experienced Leadership: Our founding team comprises second- and third-time entrepreneurs, each with over 25 years of experience in cybersecurity. Their proven expertise and vision drive our ambitious goals, positioning us to lead in AI-powered cybersecurity. Management Team: Our Heads of AI, Engineering, and Product bring extensive experience from some of the world’s most influential companies, ensuring top-tier mentorship, direction, and vision. Cutting-Edge AI Solutions: Our team leverages the most advanced AI technologies, including Large Language Models (LLMs) and Generative AI. Competitive Compensation: We offer highly competitive salaries, equity options, and a supportive work environment. Your contributions will be valued and rewarded as we grow together. Cybersecurity Knowledge Preferred but Not Required: While experience in cybersecurity is a plus, we are primarily seeking top-tier talent in microservices architecture, software development, and/or DevOps who are passionate about solving complex problems. About the Role Responsibilities: • Collaborate with cross-functional teams building cloud backends and data pipelines. • Lead technical delivery from architecture and design to implementation, testing, deployment, and operations. • Work with product and design teams to deliver performant and reliable user experiences for backend services and APIs. • Champion software development best practices, including CI/CD, Infrastructure as Code, observability, and test automation. • Ensure reliability, scalability, and maintainability of backend and cloud systems. • Foster a culture of ownership, learning, and continuous improvement within the engineering team. Must Haves: • 7+ years of experience as a cloud or backend engineer. • Strong experience designing APIs and building asynchronous systems with robust error handling. • Hands-on experience with AWS, including serverless architectures. • Experience with Azure services and Infrastructure as Code tools such as API Management, Azure Functions, Azure SQL Database, Cosmos DB, Azure Active Directory, or Bicep/Terraform. • Familiarity with data pipelines and cloud-native data streaming tools such as Kinesis. • Strong Python experience for backend services, automation, and tooling. • Experience with AWS services and Infrastructure-as-Code tools, such as API Gateway, Lambda, RDS, DynamoDB, IAM, and CDK. • Knowledge of observability, tracing, and system performance best practices for distributed backend systems. • Excellent communication skills and the ability to collaborate with distributed teams. Nice to Haves: • Golang development for backend services. • Experience with data streaming tools such as Kafka. • Designing access control systems, such as Role-Based Access Control (RBAC). • Experience with version control, CI/CD, and build systems (e.g., GitHub Actions). • Familiarity with compliance and security standards such as ISO 27001, SOC 2, GDPR, or CPRA in cloud environments. • Startup experience and hustle. Why You’ll Succeed Attention to detail and craft: You care about pixel-perfect UIs and cohesive user experiences. Track record of high-velocity delivery: You move fast but don’t break things. Interest in scientific research, AI/LLMs, and a passion for leveraging technology to advance human knowledge.