Staff Developer - Endpoint - Cloud

Job Summary

Lead the technical vision for Arctic Wolf's cloud security platform while architecting scalable backend systems that protect thousands of organizations from cyber threats.

As a Staff Software Engineer, you'll drive technical excellence across our cloud engineering teams, leading the design and implementation of mission-critical backend services that power Arctic Wolf's endpoint security solutions. This role combines deep technical expertise with strategic leadership to shape our cloud architecture and mentor engineering teams.

Responsibilities

• Lead design of scalable, resilient backend services supporting endpoint security
• Drive architectural decisions for distributed systems, microservices, and cloud infrastructure
• Design and implement complex backend systems for cybersecurity data processing
• Build high-performance APIs and services handling millions of security events
• Lead implementation of cloud-native architectures using AWS, microservices, and containers
• Mentor Senior and Mid-level engineers on technical design and best practices
• Lead technical discussions across multiple engineering teams
• Drive engineering standards, practices, and tooling adoption
• Lead proof-of-concepts for new architectural approaches and technologies
• Drive adoption of AI-powered development tools and AI-assisted engineering practices to enhance developer productivity, code quality, and system design

Experience & Requirements

• 9+ years in backend engineering with 3+ years in technical leadership roles
• Expert Programming: Advanced proficiency in Go, Python, or Java for backend development; C#/.NET experience is a nice-to-have
• Cloud Architecture: Deep expertise in AWS including Lambda, ECS, EKS, RDS, DynamoDB, SQS/SNS, distributed systems, and cloud-native design patterns
• Security Domain: Understanding of security architecture, cybersecurity principles, threat detection, and security data processing
• Observability: Monitoring, logging, distributed tracing, and system reliability practices.
• Performance: Experience with high-throughput systems, caching strategies, and optimization
• DevOps: CI/CD, automation, and production system management
• Infrastructure: Kubernetes, Docker, Terraform, Infrastructure as Code practices
• Data Systems: Experience with databases, data streaming, and large-scale data processing

On-Camera Policy

To support a fair, transparent, and engaging interview experience, candidates interviewing remotely are expected to be on camera during all video interviews. Being on camera fosters authentic connection, improves communication, and allows for full engagement from both candidates and interviewers. We understand that technical, bandwidth, or location-related challenges may occasionally prevent video use. If this applies, candidates are required to notify us in advance so we can explore appropriate accommodations.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.