Backend Engineer III (Hybrid)

Job description

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the RoleJoin our Falcon Exposure Management team as we evolve our Cyber Asset Attack Surface Management (CAASM) capabilities. You'll architect and develop cloud-native solutions that help organizations discover, inventory, and assess their digital attack surface at scale by correlating asset data with comprehensive risk intelligence — including vulnerabilities, misconfigurations, and threat indicators. A key part of the platform is building integration frameworks that connect with a wide range of third-party security vendors, cloud providers, and enterprise tools, producing a unified view of organizational risk from disparate data sources across the security ecosystem.You'll also contribute to AI-native engineering practices on the team — applying LLMs and agentic workflows to improve engineering velocity, code quality, and the team's ability to deliver complex backend work reliably and at pace.Learn more about Falcon Exposure Management: https://www.crowdstrike.com/en-us/platform/exposure-management/ Location - Pune - HybridWhat You'll Do: • Design and implement scalable microservices for the CAASM platform that unify 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 integration frameworks that ingest data from a wide range 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 • Apply LLMs and agentic workflows to enhance engineering productivity and code quality, with a strong focus on safe, reliable, production-ready outcomes • Design appropriate guardrails, validation, and human-in-the-loop checkpoints for any agentic workflow you build or operate • Be part of a global team of highly skilled and passionate engineers, building and maintaining cloud services • Collaborate across teams to brainstorm, research, and build solutions driven by our product roadmap • Understand business and engineering requirements and proactively share ideas and solutions • Maintain a strong focus on quality through best practices, testing, logging, and metrics • Mentor junior engineers and contribute to technical decision-making across the team • Own your work end-to-end in a high-trust environment What You'll Need: • A minimum of 5+ years of production-level experience 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 • 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) • Background in building high-throughput data processing systems and ETL pipelines (good to have) • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes Agentic & LLM experience: • Working knowledge of LLMs and agentic loops — practical experience designing or operating agents that invoke tools and act on real data • Understanding of ReAct and related agentic patterns (planning, reflection, tool use) and when each is the right choice • A clear grasp of the non-deterministic nature of LLM outputs and how to engineer around it: structured outputs, schema validation, retries, self-checks, and graceful fallbacks • Ability to design policies and guardrails around tool invocations — Experience designing safe and reliable agentic workflows. • Hands-on use of frontier-model SDKs (Anthropic, OpenAI, or similar) and AI-assisted development tools (Claude Code