Staff AI Developer

Overview

Staff AI Developer role in Arctic Wolf's Engineering organization, designing and building next-generation security operations automation platforms that improve detection reliability, incident response speed, and operational efficiency, while acting as a senior technical leader.

What you'll do

• Design, develop, and deploy scalable backend automation solutions for security operations.
• Build cloud-native services and microservices using Python, Go, and AWS technologies.
• Develop detection pipelines, incident response automation, and security orchestration frameworks.
• Integrate AI-powered capabilities, including LLMs, agentic frameworks, and intelligent workflows.
• Collaborate with threat researchers, data scientists, and engineering teams to deliver innovative security solutions.
• Implement CI/CD, Infrastructure-as-Code, and modern software engineering best practices.
• Provide technical leadership through architecture design, code reviews, and mentorship.
• Drive innovation in cybersecurity automation, AI adoption, and platform scalability.

What you'll need

• 10+ years of experience in backend software development, cloud infrastructure, or security-focused engineering.
• Strong expertise in distributed systems, cloud-native architectures, and automation platforms.
• Hands-on experience with Python, Go, Kubernetes, Docker, Terraform, and microservices.
• Experience working with AWS, Azure, or GCP environments.
• Proven experience integrating AI/ML capabilities into production systems.
• Experience developing applications using Model Context Protocol (MCP).
• Hands-on experience with AI Gateways (LLM & MCP).
• Experience with LangChain, LangGraph, Agentic AI Frameworks, and RAG architectures.
• Advanced knowledge of Generative AI, LLMs, and Small Language Models (SLMs).
• Working knowledge of cybersecurity concepts including Threat Hunting, Vulnerability & Exposure Management, MITRE ATT&CK, and Security Operations.

Nice to have

• Experience building security operations or cybersecurity automation platforms.
• Experience working with SOC, threat detection, or incident response teams.
• Familiarity with threat intelligence, security analytics, and detection engineering.
• Experience contributing to technical strategy and architecture leadership.

Details

• Location: Bengaluru, India.
• Candidates interviewing remotely are expected to be on camera during all video interviews.
• Employment may be subject to background verification and additional regulatory, security, or compliance requirements.