Position Summary

Do you like securing complex cloud services and infrastructure? Want to be a part of a collaborative team that builds solutions that protect some of the biggest networks in the world? ExtraHop is seeking a Sr. Product Security Engineer, experienced with modern cloud system development and infrastructure-as-code practices to build and operate product security program capabilities, tools, and processes that allow us to keep pace with a rapidly changing security landscape, reduce security risk and enable organizational success.

We're looking for candidates with a mix of cloud security, infrastructure security, security information and event management (SIEM) technologies, DevOps, and software development experience, who enjoy working in a collaborative environment and taking direct action to identify, remediate and prevent vulnerabilities and security issues.

You must have experience securing cloud environments and modern computing infrastructure, deploying and operating SIEM tools, and strong familiarity with Infrastructure-as-Code and container technologies.

Key Responsibilities

• Implement and operate Splunk Cloud Platform and Enterprise Security, including setting up log ingestion from required source systems and ensuring correct parsing and categorization of log events for effective SIEM operations
• Implement and operate endpoint detection and response (EDR) and network detection & response (NDR) solutions
• Develop system configuration and hardening standards and coordinate with other teams to ensure compliance with those standards
• Define standards for secure configuration of application and infrastructure components
• Perform threat modeling, security design reviews, code reviews, and consultations with other staff
• Build and improve vulnerability management processes and tooling to support system owners to successfully remediate issues
• Perform, automate and streamline patching and vulnerability remediation activities
• Develop and deliver training on cloud security issues, best practices and internal policies
• Select, implement and manage cloud security tools including cloud security posture management (CSPM), network/host/container/IaC vulnerability scanners and configuration auditing
• Participate in manual pen testing of new + existing systems
• Perform and/or lead security investigation and incident response activities
• Participate in an on-call rotation with occasional after-hours paging to review carefully prioritized security detections

Required Qualifications

• Bachelor’s degree or equivalent experience in computer science, engineering, or information technology
• 8+ years of experience in security engineering, software development and/or DevOps, with a focus on securing complex systems and modern cloud infrastructure
• Strong experience securing AWS cloud platform and services, including the implementation of guardrails using service control policies (SCPs), IaC policies, CSPM, or similar strategies
• Experience implementing Splunk Enterprise Security to monitor cloud-based systems
• Experience working with container-based environments (Kubernetes, Docker, LXC, etc.)
• Experience securing cloud-based web applications, APIs, data and infrastructure
• All R&D Employees will be required to attend 2 mandatory in-person events every year. These events are typically held in our offices in downtown Seattle and run 4-5 days each
• Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder) or lawfully admitted into the U.S. as a refugee or granted asylum
• Note: employees, including fully remote staff, are expected to attend two in-person events every year. These events are typically held in our offices in downtown Seattle and run 4-5 days each

Preferred Qualifications

• Experience securing software-as-a-service (SaaS) and cloud service offerings
• Experience with meeting FedRAMP, NIST SP 800-53 and similar compliance requirements
• Experience deploying or managing EDR and NDR solutions (such as ExtraHop RevealX)
• Experience securing Google Cloud Platform (GCP) and Azure 
• Experience working in a security operations center (SOC) and/or leading security incident response activities
• Solid knowledge of Kubernetes, Git, Python, Terraform, Ansible, and the use of scripting in support of security automation, CI/CD pipelines

The salary range for this role is $150,000 - $180,000 + bonus + benefits. 

Position Summary

An ideal candidate will have strong software engineering, networking, and cybersecurity fundamentals. This position works with security researchers and developers, developing systems to make them more efficient and effective. You'll deliver impactful solutions that empower research and development, as well as working directly with network data to emulate adversary behavior.

ExtraHop offers an exciting, high-energy, and versatile environment in which people are encouraged and supported to collaborate on industry-leading technology and create a world-class engineering team while they develop and enrich their individual growth. And we're doing it with creativity, intellectual curiosity, and deep critical thinking.

ExtraHop R&D supports fully-flexible work options that include full-time onsite, hybrid, and fully remote working arrangements. Except for a few roles that require physical access.

Key Responsibilities

• Support Threat Research and Detection Engineering teams by providing tools and automation to accelerate Research & Development.
• Develop and support internal systems, including:
• Software deployment pipelines supporting continuous delivery
• Pipelines for ingestion of new network identifiers to enable fingerprinting of device, software, and cloud services
• Threat Intelligence acquisition and sharing
• On-demand threat research labs using modern Infrastructure-as-Code and Cloud-based technologies
• Continuous Testing and Validation pipelines 
• Work with a collaborative, dedicated and seasoned team of engineers
• Mentor and coach other Security Engineers regarding detector development and network threats 
• Actively participate in code review to ensure quality and uplevel other engineers

Required Qualifications

• Excellent engineering chops
• 7+ years of experience in software and/or detection engineering in a team environment
• Solid knowledge of Python
• Experience developing and deploying code for enterprise software applications with emphasis on code quality and maintainability
• In-depth knowledge of networking fundamentals, including the OSI model and excellent working knowledge of the key protocols from Layer 2 through Layer 7
• Self-starter with a strong problem-solving track record and ability to grow and learn
• Excellent teammate and collaborator who can iterate on problems quickly.
• Proficient at communication in both spoken and written forms, including documentation.

Preferred Qualifications

• Experience working with network packet-level data using tools like tshark, tcpdump, tcprewrite, and Scapy to directly interact with this data.
• Strong understanding of TCP/IP and Layer 7 protocols

The salary for this role is between $150,000 - $180,000 per year + bonus

Position Summary

An ideal candidate will have strong software engineering, networking, and cybersecurity fundamentals. This position works with security researchers and developers, developing systems to make them more efficient and effective. You'll deliver impactful solutions that empower research and development, as well as working directly with network data to emulate adversary behavior.

ExtraHop offers an exciting, high-energy, and versatile environment in which people are encouraged and supported to collaborate on industry-leading technology and create a world-class engineering team while they develop and enrich their individual growth. And we're doing it with creativity, intellectual curiosity, and deep critical thinking.

ExtraHop R&D supports fully-flexible work options that include full-time onsite, hybrid, and fully remote working arrangements. Except for a few roles that require physical access, we believe in supporting you in making the choice that works best for you and makes the team successful.

Key Responsibilities

• Support Threat Research and Detection Engineering teams by providing tools and automation to accelerate Research & Development.
• Develop and support internal systems, including:
• Software deployment pipelines supporting continuous delivery
• Pipelines for ingestion of new network identifiers to enable fingerprinting of device, software, and cloud services
• Threat Intelligence acquisition and sharing
• On-demand threat research labs using modern Infrastructure-as-Code and Cloud-based technologies
• Continuous Testing and Validation pipelines 
• Work with a collaborative, dedicated and seasoned team of engineers
• Actively participate in code review to ensure quality and uplevel other engineers

Required Qualifications

• Excellent engineering chops
• 5+ years of experience in software engineering
• Solid knowledge of Python
• Experience developing and deploying code for enterprise software applications with emphasis on code quality and maintainability
• In-depth knowledge of networking fundamentals, including the OSI model and excellent working knowledge of the key protocols from Layer 2 through Layer 7
• Self-starter with a strong problem-solving track record and ability to grow and learn
• Excellent teammate and collaborator who can iterate on problems quickly.
• Proficient at communication in both spoken and written forms, including documentation.

Preferred Qualifications

• Experience working with network packet-level data using tools like tshark, tcpdump, tcprewrite, and Scapy to directly interact with this data.
• Strong understanding of TCP/IP and Layer 7 protocols

The salary range for this role is $125,000 - $149,000 + bonus + benefits.

Position Summary

At the heart of our Cloud team is a mission to build a secure, scalable, and high-performance platform that powers our cybersecurity products. As a Senior Software Engineer, Cloud, you will own the design, delivery, and operation of critical cloud services, driving architectural decisions and ensuring systems meet the highest standards of reliability, security, and scalability.

This role goes beyond implementation. You will lead complex technical initiatives end-to-end, influence system design across teams, and set the standard for engineering excellence within the cloud domain. You’ll partner closely with engineering, security, and product teams to solve deeply technical challenges and evolve our cloud platform to meet the demands of a rapidly growing business.

Key Responsibilities

• Own the architecture, development, and operation of scalable, secure, and fault-tolerant cloud services, with accountability for performance and reliability in production.
• Drive technical design and architectural decisions for distributed systems, influencing patterns, standards, and long-term platform evolution.
• Lead complex initiatives end-to-end, from design through deployment and ongoing optimization, ensuring alignment with business and technical priorities.
• Build and scale cloud infrastructure using infrastructure-as-code (Terraform, Helm) and container orchestration (Kubernetes), improving system resilience and efficiency.
• Advance cloud security and compliance practices, embedding secure design principles, IAM controls, and encryption into all layers of the platform.
• Improve system observability and operational excellence, implementing robust monitoring, alerting, and incident response strategies.
• Drive DevOps maturity, optimizing CI/CD pipelines and deployment strategies to support rapid, reliable delivery.
• Collaborate cross-functionally with engineering, product, and security teams to define solutions and resolve complex system-level challenges.
• Mentor and guide engineers, providing technical direction, code reviews, and support for skill development while raising the bar for engineering quality.
• Continuously evaluate and adopt new technologies, making pragmatic decisions that improve system performance, scalability, and developer productivity.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 6–8+ years of software engineering experience, with significant focus on cloud infrastructure and distributed systems.
• Proven ability to independently design, build, and operate production-grade systems at scale.
• Strong proficiency in Go, Python, or similar languages, with experience building distributed services.
• Deep expertise in Kubernetes and infrastructure-as-code (Terraform, Helm).
• Strong experience with AWS services (EKS, EC2, RDS, S3, SQS, IAM), including designing and operating systems in production.
• Demonstrated ownership of systems, including on-call, incident response, and long-term reliability improvements.
• Strong problem-solving skills and the ability to navigate ambiguous, complex technical challenges.
• Effective communication skills with the ability to influence technical decisions across teams.
• Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder) or lawfully admitted into the U.S. as a refugee or granted asylum.

Preferred Qualifications

• Expertise in cloud security best practices, including identity, encryption, and compliance frameworks.
• Experience designing and scaling high-availability distributed systems with automated failover and self-healing capabilities.
• Strong knowledge of observability tooling (Prometheus, Grafana, ELK).
• Experience with event-driven architectures and microservices.
• Familiarity with HashiCorp ecosystem tools (Vault, Consul, Packer).
• Experience contributing to or defining engineering standards, patterns, or platform strategy.

The salary range for this role is $150,000 - $180,000 + bonus + benefits. 

Submit your resume here to express interest. We review general engineering applicants regularly and will reach out as relevant roles become available.

Our engineering organization builds the foundation, services, and capabilities that power ExtraHop’s industry leading products. Engineers at ExtraHop work across a wide range of challenges that include systems level development, performance optimization, distributed services, network data processing, and user facing features.

We offer an engaging and collaborative environment where engineers are encouraged to design thoughtfully, communicate clearly, and deliver high quality solutions. We value curiosity, ownership, and a willingness to dive deep into complex technologies while contributing to a positive, inclusive culture.

General Key Responsibilities

• Design, build, and maintain high quality software components that contribute to ExtraHop’s core platform and product capabilities.
  
  
• Collaborate closely with engineering peers, product management, UX, QA, and other partners to define requirements, architecture, and implementation details.
  
  
• Participate in code reviews, technical discussions, and architectural planning to ensure quality, stability, scalability, and long term maintainability.
  
  
• Debug, troubleshoot, and improve software running in real world customer environments.
  
  
• Support performance, scalability, and reliability initiatives through measurement, analysis, and optimization.
  
  
• Contribute to test automation, CI/CD processes, and modern engineering practices.
  
  
• Participate in agile development methodologies and help continuously improve team processes.
  
  
• Demonstrate ownership, technical curiosity, and a commitment to continuous learning.
  
  
• Model ExtraHop’s core engineering values which include collaboration, kindness, customer focus, and building technology that matters.
  
  

Often Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
  
  
• Strong programming skills in one or more of the following languages: Go, Python, C, C++, Rust, JavaScript, or TypeScript.
  
  
• Experience developing software on Linux or Unix environments, including debugging, tooling, and common developer workflows.
  
  
• Understanding of networking fundamentals and common Layer 2 through Layer 7 protocols.
  
  
• Familiarity with secure development concepts including encryption fundamentals and modern authentication ideas such as TLS, SAML, or OIDC.
  
  
• Ability to design and implement software with an emphasis on code quality, maintainability, and reliability.
  
  
• Strong problem solving skills, clear communication, and the ability to work both independently and collaboratively.
  
  
• Demonstrated ability to learn new technologies and navigate large or complex systems.
  
  

General Preferred Qualifications

• Experience with cloud providers such as AWS, GCP, or Azure.
  
  
• Familiarity with containers and orchestration technologies such as Docker and Kubernetes.
  
  
• Experience with Infrastructure as Code tools including Terraform or Ansible.
  
  
• Experience with databases such as PostgreSQL, MySQL, Redis, or other distributed storage technologies.
  
  
• Exposure to observability or monitoring tools including Prometheus, Grafana, Elastic, or similar systems.
  
  
• Experience working with CI/CD tools such as GitLab CI, GitHub Actions, or Jenkins.
  
  
• Experience building or supporting software at enterprise scale with considerations around throughput, latency, memory, and resource constraints.
  
  
• Awareness of cybersecurity practices, packet analysis tools such as Wireshark or tcpdump, or general familiarity with detection concepts.
  
  
• Ability to mentor others and contribute to a positive, collaborative engineering culture.
  
  

Position Summary

ExtraHop is seeking a Senior Engineering Manager to lead the Applied Machine Learning team responsible for behavioral detections within the ExtraHop Network Detection and Response (NDR) platform.

This team develops machine learning systems that analyze large-scale network telemetry and surface meaningful behavioral signals for Security Operations Center (SOC) analysts. The work sits at the intersection of applied machine learning, cybersecurity, and high-volume time-series data.

This role owns the applied machine learning strategy for behavioral detection within the product. You will lead a team responsible for designing, evaluating, and operationalizing models that identify anomalous or suspicious patterns in complex network activity. The position combines technical leadership, scientific rigor, and product influence to ensure machine learning capabilities translate directly into actionable security insights.

Key Responsibilities

• Lead and grow a multidisciplinary team of data scientists and software engineers building production machine learning models and supporting systems for behavioral detection.
• Drive the research, development, evaluation, and operational monitoring of models that analyze large-scale network telemetry, including time-series and behavioral anomaly detection.
• Establish high standards for experimental rigor across the team, including statistically sound experimentation, clear evaluation methodologies, and disciplined model validation.
• Own the technical direction for production ML systems supporting behavioral detections, including experimentation frameworks, model lifecycle management, data pipelines, and monitoring.
• Collaborate closely with Product Management and Security Research to translate machine learning capabilities into practical detection signals that improve SOC analyst workflows.
• Influence the product roadmap by identifying opportunities where applied machine learning can materially improve detection quality and analyst productivity.
• Mentor senior data scientists and engineers while fostering a culture of scientific rigor, intellectual curiosity, and technical ownership.
• Represent the machine learning function in cross-organizational discussions and communicate technical strategy and outcomes to senior leadership.
• Stay current with advances in machine learning research and engineering practices and guide the team in adopting techniques that meaningfully improve detection performance.

Required Qualifications

• Bachelor’s degree or equivalent experience in Computer Science, Statistics, Machine Learning, or a related quantitative field; advanced degree preferred.
• 5+ years experience leading applied machine learning or machine learning engineering teams delivering production systems.
• Strong background in machine learning, statistics, or a related quantitative discipline.
• Experience guiding experimental design, model evaluation strategies, and statistically rigorous decision making.
• Experience building or operating production ML systems, including model lifecycle management, data pipelines, and monitoring.
• Experience working with large-scale telemetry, time-series data, or behavioral modeling problems.
• Demonstrated ability to partner with product and domain experts to translate machine learning capabilities into user-facing value.
• Strong technical judgment and the ability to guide architecture and modeling decisions.
• Experience mentoring senior individual contributors and building high-performing ML teams.
• Exceptional communication skills; able to translate model performance, technical tradeoffs, and data science concepts for product, executive, and cross-functional audiences.
• Consistent, reliable, and accountable in attendance and execution.

Preferred Qualifications

• Experience with network security, NDR, or related security domains; familiarity with tools and frameworks commonly used in threat detection.
• Experience building ML systems on AWS cloud infrastructure, including data pipelines and model deployment at scale.
• Familiarity with compliance requirements such as FedRAMP or NIST SP 800-53 and their implications for data science workloads.
• Experience with containerization technologies (Docker, Kubernetes) for ML workload deployment.
• AWS certification such as AWS Certified Solutions Architect or Machine Learning Specialty.
• Understanding of threat detection, intrusion prevention, and incident response strategies.

The salary range for this role is $200,000 - $218,000 + bonus + benefits 

Position Summary

We are seeking an Engineering Manager in QA to lead and scale our Quality Engineering function: driving strategy, execution, and organizational excellence across automation, testing frameworks, and product quality outcomes. This is a leadership role, responsible not only for leading teams but for shaping the direction of quality engineering across the organization.

You will operate as a systems-level thinker, connecting product architecture, engineering workflows, and customer experience to build a cohesive, scalable quality strategy. You will lead multiple engineers and/or teams, define standards, and ensure quality is embedded across the software development lifecycle, not treated as a downstream activity.

This role requires a balance of technical depth, organizational leadership, and strategic influence, with a focus on building high-performing teams and delivering resilient, high-quality products across on-prem, cloud, and hybrid environments.

Key Responsibilities

• Lead, develop, and scale a high-performing QA/Automation engineering organization.
• Define and execute a comprehensive quality engineering strategy aligned to product and engineering goals.
• Establish best practices for test automation, framework development, and validation at scale.
• Ensure quality is embedded across the entire SDLC, CI/CD pipelines, and release processes.
• Drive measurable improvements in product quality, release confidence, and defect reduction.

• Collaborate closely with Product, Engineering, SRE, and Support teams to align on quality goals and priorities.
• Influence roadmap decisions by bringing data-driven insights on risk, coverage, and quality gaps.
• Act as a thought leader in modern QA practices, tooling, and methodologies.
• Foster a collaborative, high-performing team culture focused on ownership, accountability, and continuous improvement.
• Hire and retain high-quality engineering talent through high contact, regular reviews, and career development planning.
• Establish and track key quality metrics (e.g., defect rates, test coverage, release health).
• Drive operational rigor in planning, execution, and delivery across teams.
• Improve scalability and efficiency of QA processes in a fast-paced, evolving environment.

Required Qualifications

• Bachelor’s degree in Computer Science or related technical field (or equivalent experience).
• 6+ years of experience in software quality engineering or software development. 
• 2+ years of experience managing or leading engineering or QA teams.
• Strong understanding of modern SDLC practices, CI/CD, and Agile methodologies.
• Demonstrated ability to operate at both strategic and tactical levels; driving automation strategy and framework development at scale.
• Experience influencing cross-functional stakeholders and driving alignment across teams.
• Strong technical foundation with the ability to engage in architectural discussions and trade-offs.

Preferred Qualifications

• Experience with automation and orchestration in large-scale distributed systems (AWS, Azure, etc.).
• Familiarity with API and UI testing frameworks (e.g., Python, Selenium, BDD/Behave).
• Background in networking, security, or data-intensive systems.
• Experience building or scaling QA functions in high-growth or enterprise environments.

The salary range for this role is $170,00 - $180,000 + bonus + benefits