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Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Engineering Manager - Linux Cloud Workload Security, you will be tasked with taking end-to-end ownership of product capabilities and strategic initiatives from ideation to production within the Linux & Cloud Workload Security ecosystem.
We require a leader with a proven track record of success in building and developing high-performing managers and teams, managing operational risks, and driving architectural excellence while fostering a world-class engineering culture.
What Will You Do?
Primary responsibilities include:
You will have the chance to lead a group of 10+ engineers and team leads on the Linux & Cloud Workload Security, solving the most complicated real-world problems.
You will continuously enrich your knowledge and experience with Linux OS architecture, kernel internals, and the Cloud Workload security landscape.
You will be a core part of designing and developing the capabilities that will improve the product's stability and make the user experience smoother.
You will be directly accountable for production stability and operational integrity while mentoring a global managerial bench.
Your mandate is to ensure reliable, high-quality delivery against strategic goals, making decisive trade-offs that balance innovation, security, and long-term organizational health.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Engineering Manager - Windows Endpoint, you will be tasked with taking end-to-end ownership of product capabilities and strategic initiatives from ideation to production within the Windows Endpoint Ecosystem.
We require a leader with a proven track record of success in building and developing high-performing managers and teams, managing operational risks, and driving architectural excellence while fostering a world-class engineering culture.
What Will You Do?
Primary responsibilities include:
You will have the chance to lead a group of 10+ engineers and team leads on the Windows Endpoint, solving the most complicated real-world problems.
You will continuously enrich your knowledge and experience with Windows OS internals and the EPP/EDR ecosystem.
You will be a core part of designing and developing the capabilities that will improve the product's stability and make the user experience smoother.
You will be directly accountable for production stability and operational integrity while mentoring a global managerial bench.
Your mandate is to ensure reliable, high-quality delivery against strategic goals, making decisive trade-offs that balance innovation, security, and long-term organizational health.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior FinOps Engineer, you will be tasked with being a key architect of our financial sustainability at our company. You won't just track spend, you will build the frameworks that transform complex cloud and usage data into clear, actionable strategies for the business. Joining our global FinOps team, you will act as the bridge between Product Engineering, Finance, and Leadership, ensuring our hyper-growth is matched by world-class unit economics and cloud efficiency.
What will you do?
Primary responsibilities include:
Advanced Analytics & Insights: Architect and maintain sophisticated data models that merge cloud billing data with customer usage metrics to drive deep-dive trend analysis and anomaly detection.
AI & ML Economics: Establish governance and unit-economic tracking for AI-related spend, including GPU utilization, LLM token consumption, and model training costs to ensure high ROI on AI initiatives.
Strategic Allocation: Design and govern complex cost-allocation frameworks (including Kubernetes and shared services) to ensure 100% accountability across product lines and engineering pods.
Cost Tracking & Accountability: Track and maintain critical cloud cost, identify increases and improve cost accountability across org.
Optimization & Commitment Management: Lead the strategy for Reserved Instances, Savings Plans, and CUDs across a multi-cloud environment. Proactively identify architectural rightsizing opportunities.
Forecasting & Capacity Planning: Build predictive models for cloud spend that account for customer acquisition rates, regional expansion, and product roadmap changes to safeguard company margins.
Cost Accountability: Improve cost accountability and mindset across org
Stakeholder Influence: Present quarterly business reviews (QBRs) to senior stakeholders, translating technical cloud complexities into clear financial impact.
Capitalization (CapEx) Reporting: Support the engineering capitalization process by correlating labor effort with project delivery data for financial compliance.

We are seeking a hands-on Cloud DevOps Team Leader to lead the design, deployment, and optimization of secure, scalable, and cost-effective cloud infrastructure for a live cybersecurity SaaS product. You will guide a DevOps team, set technical direction, and own cloud infrastructure strategy across AWS, GCP, and Azure, with a strong emphasis on security, cost-efficiency, and production reliability.
Key Responsibilities:
Lead and mentor a team of DevOps engineers across design, automation, deployment, and operations.
Architect and maintain secure, highly available cloud infrastructure (AWS, Azure, GCP).
Design and implement complex cloud networking infrastructure - VPCs, routing, VPNs, load balancers, firewall rules - across multi-cloud and hybrid environments.
Drive Infrastructure as Code adoption (Terraform, Kubernetes, Helm) and CI/CD optimization (Argo CD).
Lead production monitoring, incident response, and troubleshooting practices to ensure system resilience.
Oversee cloud cost optimization strategies while maintaining system performance.
Ensure adherence to cybersecurity, compliance (SOC2, ISO27001), and cloud governance best practices.
Work closely with engineering, product, and security teams to align infrastructure goals with business needs.
Champion continuous improvement through team mentoring, process enhancements, and technical leadership.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Hyperautomation Engineer - Wayfinder MDR, you will be tasked with designing, building, and operating the automation layer that powers Wayfinder MDR. Join our Wayfinder MDR organization, an elite Managed Detection & Response service protecting some of the worlds largest and most complex environments. You will work closely with Threat Service Engineers (TSEs), SOC analysts, Threat Hunters, and R&D teams to transform manual SOC processes into scalable, reliable, and efficient automation workflows. This role focuses on engineering and automation, not alert triage. You will help shape how MDR operates at scale by reducing manual workload, improving signal-to-noise ratio, and enabling faster and more consistent threat detection and response.
What Will You Do?
Primary responsibilities include:
Design, develop, and maintain hyperautomation workflows that support alert triage, enrichment, investigation, and response.
Convert SOC playbooks, investigation logic, and threat-hunting processes into automated, production-grade workflows.
Proactively identify repetitive or high-volume SOC tasks and implement automation to improve efficiency and consistency.
Build and maintain integrations with internal platforms and third-party security tools using APIs, webhooks, and event-driven mechanisms.
Collaborate closely with Threat Service Engineers (TSEs) and SOC teams to fine-tune existing detections and automation logic.
Improve and optimize MDR operational processes to ensure fast response times and effective threat mitigation.
Own automation workflows end-to-end, including design, deployment, monitoring, troubleshooting, and continuous improvement.
Create and maintain automation playbooks, templates, and best practices to support incident response at scale.
Work closely with R&D and product teams to provide operational feedback and help shape future detection and response capabilities.