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At ExtraHop, we're on a mission to help organizations achieve complete visibility, real-time threat detection, and proactive security through cutting-edge network detection and response (NDR) technology. Our NDR product is a market leader, providing our customers with the ability to detect, investigate, and respond to threats faster than ever before.
We’re proud of the work we do and the recognition we’ve received, including our recent Gartner Peer Insights award, which reflects the trust and satisfaction our customers have in our solutions.
If you're passionate about innovation, dedicated to protecting digital infrastructures, and ready to make a real impact, we invite you to join our team and help us shape the future of cybersecurity.
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.
The Machine Learning Infrastructure team owns the tools that empower the development of new machine learning models and data intelligence at Extrahop. Scalability, efficiency and experimentation is the lifeblood of machine learning. Come help build tools that simplify the processes that make all this possible.
Our goal on the Machine Learning Infrastructure team is to make it fast, easy, and cost effective to design, code, deploy, perform experiments, and to develop and support the production environment to deliver cybersecurity detections in a timely manner. As an engineer on this team, you will design and build infrastructure and tooling to support ongoing research and scalability efforts.
We have a global and diverse user base—we believe in actively investing in a diverse engineering organization. We are seeking highly talented software engineers from all backgrounds, who offer dynamic perspectives, influences, and experiences. Are you as passionate as we are about positive culture and amazing technology? If you are, we can't wait to chat with you.
Requirements
- Lead the architecture, design, development, and deployment of machine learning systems, ensuring they meet performance, scalability, and security requirements.
- Provide assistance and mentorship to software engineering teams, guiding them in best practices for infrastructure design, microservices architecture, and modern software engineering techniques.
- Design and develop secure and scalable models in Python.
- Stay current with industry trends, emerging technologies, and best practices related to machine learning infrastructure and software development.
- Collaborate closely and effectively with cross-functional teams including data science research, detection engineering, cloud services and quality assurance.
- Participate in code reviews, design discussions, and provide insightful feedback to team members to maintain code quality and adherence to best practices.
- Utilize cybersecurity best practices to enhance the security posture of our cloud infrastructure, applications, and data.
- Willingness to participate in oncall rotation and drive to improve customer and developer.
Desired Skills
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5 or more years of hands-on software development experience using Python, with a significant focus on infrastructure, scalability, and availability.
- Proven track record of designing and implementing complex, scalable, highly available, and secure cloud architectures.
- Expert in Python programming language.
- Experience with containerization technologies like Docker and orchestration platforms such as Kubernetes.
- Experience mentoring junior engineers and leading design discussions.
- In-depth knowledge of DevOps practices, CI/CD pipelines, and strategies for achieving scalability and availability.
- Familiarity with cybersecurity best practices and the ability to implement security measures in cloud environments is a plus.
- Familiarity with machine learning models, such as LLMs, Clustering and Anomaly Detection.
$136,600 - $180,360 + bonus + benefits
#LI-CS1
ABOUT EXTRAHOP
ExtraHop is the cybersecurity partner enterprises trust to reveal the unknown and unmask the attack. We’re on a mission to protect and propagate trust by revealing the cybertruth, and we partner with every customer, every day, to uncover it. Our Reveal(x) 360 platform is the only network detection and response solution delivering the 360-degree visibility needed to see everything on the network. When organizations have full network transparency with ExtraHop, they can see more, know more, and stop more cyberattacks.
ExtraHop is recognized by leading organizations for both its innovation in the market and its commitment to building a world-class team. We’ve been recognized as a “Customer’s Choice” by Gartner Peer Insights™ Voice of the Customer, and as a Leader in the Forrester Wave®: Network Analysis and Visibility, Q2 2023. ExtraHop has won AI Breakthrough Awards four times (2018-2020, 2023) and our Channel Partner program has received a 5-star rating from CRN for our 2023 Partner Program Guide. Our flagship product, Reveal(x), has received numerous accolades, including a 2022 Edison Award for Cybersecurity.
Employees' wellbeing is top of mind for the ExtraHop team. Employees and their families will have the option to participate in the following benefits:
- Health, Dental, and Vision Benefits
- Flexible PTO, Sick Time Prorated Based on Date of Hire, and All Federal Holidays (US Only) + 3 Days of Paid Volunteer Time
- Non-Commissioned Positions may be eligible to participate in the Annual Discretionary Bonus Plan
- FSA and Dependent Care Accounts + EAP, where applicable
- Educational Reimbursement
- 401k with Employer Match or Pension where applicable
- Pet Insurance (US Only)
- Parental Leave (US Only)
- Hybrid and Remote Work Model
*Candidates should note that the Company may modify reporting relationships, job titles and compensation, including commissions and benefits, from time to time at its sole discretion, as it deems necessary, with or without prior notice.
We are intentional about our culture, diversity, and inclusion, and we welcome everyone to come ready to participate in contributing to this truly unique environment. At ExtraHop, we believe that the best products, services, and companies are built by strong teams that include a diversity of backgrounds, perspectives, ideas, and experiences. We are committed to supporting and enabling growth and opportunity for every employee at every level. This is the foundation of our success.
We are equally committed to equal employment opportunity, and it is foundational to how we recruit and hire our talented team. Employment is determined based upon capabilities and qualifications without discrimination on the basis of race, color, religion, sex, gender identification and expression, marital status, military status, pregnancy (including but not limited to potential pregnancy and pregnancy-related conditions), sexual orientation, age , national origin, ancestry, citizenship or immigration status, disability ,, genetic information, or any other protected class as established by law.
Our people are our most important competitive advantage, leading the charge cyber criminals and insider threats.
Ready to join us? #Extrahop #Security #NDR #informationsecurity #cybersecurity #cloudsecurity #infosec #LI-Remote
Top Skills
What We Do
ExtraHop secures the hybrid enterprise through network detection and response. ExtraHop provides cloud-native network detection and response for the hybrid enterprise. Our breakthrough approach analyzes all network interactions and applies cloud-scale machine learning for complete visibility, real-time detection, and intelligent response.
Why Work With Us
We are ExtraHoppers. We like what we do and the people we do it with. We don't just solve problems for our customers, we help them rise above the noise of threats, alerts, and corporate gridlock to realize true security and exceptional performance.
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