Software Engineer
A cutting-edge AI research company with offices in New York City, San Francisco, and Seattle is looking for a Software Engineer specializing in Security Observability. This role is ideal for someone passionate about securing large-scale systems while building reliable, scalable infrastructure that supports detection, forensics, and compliance. The company offers remote flexibility and relocation support for those looking to work on-site.
Role:
🔧 Design and implement scalable observability systems focused on security and reliability
🛠️ Build and maintain robust data pipelines for collecting and analyzing security-related data
📊 Improve system resilience to support platform availability and performance
🤝 Collaborate closely with detection and incident response teams to reduce organizational security risks
🕵️ Support forensic investigations and compliance reporting through thoughtful engineering
Requirements:
🐍 Proficient in software engineering with strong skills in Python, Go, or similar languages
☁️ Experience working with cloud platforms (especially Azure) and Infrastructure as Code tools like Terraform
📈 Background in building scalable data pipelines, ideally with a focus on security observability
🧠 Generalist mindset with the ability to contribute across SRE, data engineering, and system design
🤝 Strong cross-functional collaboration skills with a proactive, security-first approach
🔍 Detail-oriented, with a drive to improve visibility, reliability, and security infrastructure
Benefits:
🌍 Remote-friendly with relocation assistance to major U.S. tech hubs if desired
💰 Salary range: $255,000 – $325,000 USD, depending on experience and location
🩺 Competitive benefits package including health, dental, and vision coverage
🏝️ Flexible time off and strong support for work-life balance
🧠 Join a high-caliber engineering team working on some of the most advanced AI challenges
Skills:
software engineering, Python, Go, cloud security, data pipelines, Terraform, observability, Azure, security infrastructure, forensic engineering, detection and response, SRE, compliance, remote, AI infrastructure