Base Salary
$145k - $163k/yr
Responsibilities
- Develop, test, and maintain software components supporting AI/ML models, agentic processes, and data pipelines.
- Monitor, evaluate, and improve algorithms used in behavioral detectors.
- Build scalable, fault-resilient, highly available, and secure platform services.
- Collaborate with senior engineers, data scientists, and threat researchers to integrate AI/ML features into the product architecture.
- Develop APIs, address database scalability challenges, implement data migrations, and support configuration management across services.
- Participate in code reviews, technical discussions, documentation, and agile development processes.
- Implement well-scoped features with limited guidance and address technical debt while maintaining clean, efficient code.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- At least 4 years of professional software development experience, preferably in backend, cloud, or security-related systems.
- Strong knowledge of Python, Go, or an equivalent programming language and solid programming fundamentals.
- Experience or familiarity with distributed, highly available cloud-based systems, version control, containerization, and cloud infrastructure.
- Experience with or familiarity with AWS, Kubernetes, Docker, Git, APIs, databases, and infrastructure tooling.
- Strong problem-solving, ownership, communication, collaboration, and independent execution skills.
- Preferred qualifications include machine learning or statistics knowledge, AWS or Azure cloud services, HashiCorp tooling, PostgreSQL and SQL optimization, and cybersecurity or NDR experience.
- Preferred knowledge includes network detection and response tools, threat detection, intrusion prevention, and incident response strategies.
Benefits
- Health, dental, and vision benefits.
- Flexible PTO, prorated sick time, federal holidays in the US, and three paid volunteer days.
- Eligibility for an annual discretionary bonus plan for non-commissioned positions.
- FSA, dependent care accounts, EAP, educational reimbursement, 401(k) with employer match or pension where applicable, pet insurance, and parental leave.
- Hybrid and remote work model.
Tech Stack
Categories
About ExtraHop
ExtraHop is a leader in real-time network intelligence, empowering organizations with the high-fidelity context they need to power security and IT AI automation, detect risks faster, and respond with confidence. ExtraHop anchors AI agents with the real-time, ground-truth foundation they need to operate reliably in the SOC and NOC. For security, that means surfacing threats and providing definitive evidence to investigate and respond to novel AI attacks and unsanctioned usage at machine speed. For IT operations, it means identifying and resolving performance issues in seconds to keep critical systems running. Engineered for unmatched scale, the ExtraHop RevealX platform delivers a complete, unified view of the network for the largest enterprises in the world. Capturing and analyzing network data across data centers, campus, branch, cloud, and AI environments, ExtraHop combines behavioral analysis with deep visibility into encrypted traffic to uncover what others miss.