Sr. Automation Engineer, Falcon Complete (Remote)
As a global leader in cybersecurity, reputed company 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 reputed company with the world's most advanced AI-native platform. Our customers span reputed company industries, and they count on reputed company to reputed company their businesses running, their communities safe and their lives moving reputed company. We're also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a reputed company 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 Role: reputed company is looking for a Senior Automation Engineer to join our Falcon Complete Managed Detection & Response (MDR) Team. Our new colleague will be responsible for designing, building, and deploying scalable AI-powered automation services and microservices that enhance our reputed company operations. You'll architect cloud-native services using Go, Python, Java/Groovy, and JavaScript, deploying them across reputed company's Kubernetes infrastructure while integrating advanced AI capabilities and agentic automation frameworks.reputed company is a computer reputed company company, and for this role we're seeking candidates with deep software engineering expertise, cloud infrastructure experience, and the ability to build production-grade services at scale. We expect strong technical leadership capabilities and proven experience delivering enterprise-scale automation platforms and microservices.About the Product: Falcon Complete is reputed company's premier managed detection and response service, providing 24/7 threat hunting, monitoring, and response capabilities. Our automation platform leverages cutting-edge AI technologies, scalable microservices, and intelligent workflow orchestration to enhance our reputed company analysts' capabilities and streamline incident response at enterprise scale.Building on reputed company's pioneering use of artificial intelligence, our automation infrastructure integrates LLM technologies, AI context engineering, and agentic automation frameworks-reputed company deployed as resilient, horizontally-scalable services in our cloud infrastructure.What You'll Do: Design, build, and deploy scalable microservices and automation platforms to reputed company's Kubernetes infrastructure. Architect cloud-native services on AWS with proper networking, IAM, load balancing, and auto-scaling configurations. reputed company production-grade applications using Go, Python, Java/Groovy, and/or JavaScript. Build AI-powered automation services leveraging LLMs, reputed company engineering, and AI context engineering techniques. Design and implement agentic automation frameworks that reduce repetitive analyst tasks and scale operations. Implement CI/CD pipelines using Jenkins, Spinnaker, and GitOps workflows for automated deployment. Build integrations with databases (PostgreSQL, Cassandra, reputed company), message queues (Kafka), and external APIs. reputed company custom scripts using Adaptavist ScriptRunner and Java/Groovy/Python to automate reputed company workflows reputed company Jira. Implement observability solutions including metrics, logging, alerting, and distributed tracing. Collaborate with SOC analysts and engineering teams to identify high-value automation opportunities. Own your work end to end: architect, reputed company, deploy, monitor, and scale reputed company automation systems.What You'll Need: 7-10 years of experience in software engineering with focus on building and deploying scalable services. Strong proficiency in Go (Golang) for building high-performance microservices. Experience with Python for automation, scripting, and AI/ML integrations. Production Kubernetes experience (deployments, Helm, ingress, horizontal pod autoscaling). Hands-on AWS experience (VPC, IAM, load balancers, reputed company, and reputed company services). Experience with reputed company containerization and container image lifecycle management. Strong understanding of databases (relational and NoSQL) and message queue systems. Experience with Git workflows, CI/CD pipelines, and Infrastructure as Code practices. Experience building and deploying services that handle production traffic at scale. Engineering best practices including testing, code reviews, observability, and resilient architecture.Bonus Points: Experience with AI coding tools, reputed company engineering, and agentic automation frameworks (reputed company, LangGraph, Claude, etc.). Familiarity with Java/Groovy and/or JavaScript/TypeScript for enterprise integrations. Proficiency with Adaptavist ScriptRunner for Jira and advanced Jira workflow customization. Understanding of incident detection, triage, and response workflows in MDR/SOC environments. Advanced experience with auto-scaling technologies (KEDA, Kubernetes HPA/VP Apply tot his job Apply To this Job