Design and implement scalable microservices architecture for our new CAASM platform that unifies asset discovery with risk assessment
Build robust APIs and data pipelines to ingest, normalize, and correlate asset data with vulnerability feeds, threat intelligence, and security findings from multiple sources
Develop comprehensive integration frameworks to seamlessly ingest data from dozens of third-party security vendors, cloud providers, and enterprise tools
Optimize system performance to handle enterprise-scale asset discovery, vulnerability correlation, and risk assessment at speed
Develop APIs that enable seamless integration with existing security orchestration and GRC workflows
Be part of a global team of highly skilled and passionate engineers, building and maintaining cloud services
Collaborate with others across multiple teams to brainstorm, research, and build solutions that are driven by our Product roadmap
Understand business and engineering requirements so that you can be proactive in sharing ideas and solutions
Have a strong focus on quality of code through best practices, testing, logging and metrics
Mentor junior engineers and contribute to technical decision-making across the team
Have the autonomy to own your work in a high trust environment

A minimum of 5+ years of production-level experience in building, delivering, and maintaining systems at scale
Strong proficiency in Go, Python, or Java with experience in distributed systems
Hands-on experience with Kubernetes, Docker, and infrastructure-as-code tools
Background in building high-throughput data processing systems and ETL pipelines(Good to have)
Experience with event-driven architectures and message queuing systems
Familiarity with data correlation techniques and complex relationship modeling
Experience with data mapping and transformation languages (CEL, JSONPath, or similar expression languages)
Hands-on experience with AI tools such as ChatGPT, GitHub Copilot, Cloud code or similar platforms
Proven ability to integrate AI into daily workflows to improve efficiency and outcomes
Understanding of AI capabilities, limitations, and responsible usage practices
Bonus Points:
Previous experience in cybersecurity, vulnerability management, or GRC domains
Experience with graph databases and complex data modeling for security use cases
Expertise with GenAI/LLM technologies and their application in accelerating development workflows
Experience leveraging AI-assisted coding tools and techniques to enhance productivity and code quality

Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Great Place to Work Certified™ across the globe

Backend Engineer III

Key skills