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we are looking for a Software Engineer Team Leader.
Responsibilities:
Provides guidance and leadership to design and develop reliable, cost-effective, and high-quality solutions for assigned systems portions or subsystems and advise on dealing with high-risk situations.
Identifies and evaluates new technology innovations to ensure alignment with the technology roadmap and business value; creates plans for integration and update into architecture.
Reviews and evaluates designs and project activities for compliance with development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
Provides mentoring to others to set an example of software systems design and development innovation and excellence.
Analyzes science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or network concerns.

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 Backend Engineer - Windows Endpoint, you will be tasked with helping to develop the platform that serves as an enterprise next-generation endpoint protection (EPP) + endpoint detection & response (EDR) solution that runs on Windows (as well as macOS, Linux, servers, etc.). It comes as a single, unified agent designed to prevent, detect, respond, and remediate cyber threats, including malware, ransomware, fileless attacks, and advanced persistent threats -all in real time.
We are looking for a Python + Java Backend Engineer to join a collaborative product team of around 8 engineers working on a complex, high-impact software platform.
Youll contribute across the stack's backend services, building scalable, high-performance services and APIs, while actively using AI-powered development tools to improve productivity and code quality.
The team follows Agile best practices, values clean architecture, ownership, and continuous improvement.
What Will You Do?
Primary responsibilities include:
Design, develop, and maintain high-performance, scalable backend services in Python and Java
Lead the implementation of robust and secure RESTful APIs
Collaborate closely with frontend, DevOps, and QA engineers in an Agile/Scrum environment
Participate in sprint planning, reviews, and retrospectives.
Write clean, testable, and well-documented code, focusing on code quality and performance optimization
Integrate and work with various data stores (e.g., SQL, NoSQL) and third-party services
Use AI-assisted development tools (e.g., code assistants, testing tools, analysis tools) to improve delivery speed and quality
Contribute significantly to architectural discussions and technical decisions, driving best practices
Support production systems, troubleshoot complex issues, and ensure system reliability.

Were looking for a strong hands-on senior Backend Engineer (Tech lead) with a passion for technical excellence and leadership.
The Tech Lead serves as the technical owner of one or more domains within the product - driving architecture, design, and code quality while mentoring developers and fostering a culture of innovation and continuous improvement.
In this role, youll lead by influence, not hierarchy - partnering closely with Product Leads and Domain Architects to ensure scalable, maintainable, and high-performing solutions. Youll balance hands-on technical work with guiding others, setting engineering standards, and shaping the technical roadmap.
The team is comprised of 3-5 seasoned and expert engineers, with a focus on code quality and data-driven decision-making. The team owns the most critical component of the product and holds our core intellectual property (IP).
What Youll be Doing:
Own the technical quality, design, and roadmap for your domain(s).
Drive engineering best practices through design reviews, code reviews, and technical mentoring.
Collaborate with Product Leads on prioritization, backlog, and feasibility decisions.
Contribute to architectural discussions and cross-domain alignment.
As the technical authority in your team youll be partnering with managers to shape hiring decisions, provide feedback/input for performance reviews, and contribute to other team-related decisions.
Foster a culture of learning, innovation, and technical excellence.
Tackle technical challenges - performance, fault-tolerance, and live production issues.

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.

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 Software Engineer, you will be tasked with exploring new technologies to design and develop innovative ideas from scratch in the Linux security domain. You will drive new detection capabilities and infrastructure at scale for our products, leveraging your deep technical expertise. We are looking for a talented individual who can turn complex security challenges into scalable, high-impact solutions.
What will you do?
Primary responsibilities include:
End-to-end responsibility for new detection capabilities, from researching Linux/Containers security landscapes to designing detection strategies and algorithms.
Designing and delivering innovative security solutions at scale.
Working on diverse technical challenges, ranging from low-level Kernel hooks to complex detection engines and pure system engineering.
Enhancing the security of various Linux and cloud workload platforms protected by our product.
Supporting a global impact, serving thousands of users, including enterprise, public sector clients, and some of the largest companies worldwide
Software Development (70-80% of time)
Conduct low level research and Design of new features
Peer code reviews; Participate in teams design review
Learn new technologies in the Linux and Cloud workloads security domain
Architect end-to-end security solutions for complex features with loose problem definition
Modeling and POC of solutions for complex problems
Support customers with issues and requests within the teams domain

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 Staff Software Engineer, you will be tasked with owning the architecture of our company's self-hosted (on-prem) Endpoint Protection platform across multiple teams - a distributed, mission-critical security system deployed inside customer-controlled enterprise, government, and regulated environments. You will set the standard for how the platform achieves high availability, scalability, and reliability on infrastructure we don't operate ourselves, while influencing the engineering roadmap for the product line. In this role, you will act as a recognized subject-matter expert who reviews and elevates the work of other senior engineers and drives complex, cross-team designs to completion.
What Will You Do?
Primary responsibilities include:
Own and evolve the architecture of the self-hosted platform across multiple teams - backend services, data pipelines, control logic, and the deployment topology shipped to customers (containerized microservices on bare metal, delivered as an appliance/OVA) - and implement improvements to existing architecture.
Set the standard for high availability and resilience in customer-controlled deployments: clustering, replication, failover, consensus/leader election, and graceful degradation across single-node and multi-node topologies, and drive infrastructure cost analysis and optimization.
Define scalability and capacity-planning strategies that hold across a wide range of customer scale and hardware, and establish frameworks for performance, observability, and operational excellence in constrained and air-gapped environments.
Lead the translation of SaaS/cloud-native capabilities into on-prem architecture, refine vaguely specified complex requirements into robust, future-proof end-to-end designs, and define coding patterns and standards that span multiple teams.
Influence the engineering roadmap, drive medium-to-large initiatives that span teams, mentor staff and senior engineers, and act as a cross-team technical authority sought out to review the work of others.

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 Windows Kernel Engineer - Windows Endpoint, you will be tasked with working on our Windows EDR product and handle a wide range of tasks. You will have the chance to design, develop primarily in modern C++ (23), test, and debug the most complicated real-world problems.
What Will You Do?
Primary responsibilities include:
Our team designs and executes significant new features, as well as rewrites and reimplements the existing ones from scratch. You will also face extraordinary stability & optimization challenges given the scale of our agents. Your work will influence the security of tens of millions of Windows devices that we protect at enterprise & government customers across the globe (incl. 5 of Fortune 10 and hundreds of Global 2000).

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 Staff SW Engineer on the Customer Lifecycle Management team, you will be tasked with joining our dedicated platform team committed to providing essential services that support the success of other developer teams. Your primary customers will be fellow company developers who rely on our department's key services, including identity and user management, metering, and license management; in this role, you'll play a crucial role in ensuring the smooth functioning of these critical components and empower our users to achieve their goals.
We are seeking a seasoned colleague with the ability to lead epics, features, and inspire others, while participating extensively in the architecture of the new solutions we're building to elevate the entire journey of our customers-creating new features and scalable systems, rebuilding existing ones from scratch, and providing comprehensive, robust APIs that help both S1 and our customers/partners manage customer-centric interactions within our flagship SaaS platform.
Join our international team of 9 (with colleagues across Brno, Prague, Slovakia, and Israel) and become an integral part of a friendly, collaborative, pragmatic, professional, and diverse group of individuals who are ready to tackle major SW engineering challenges!
Your stack: Java (v21), Spring framework family (Boot, Web, Web-Flux, Cloud), Gradle, Jooq; Kafka, PostgreSQL, ClickHouse, Redis, Docker, Helm, Kubernetes, Terraform, AWS/GCP across multiple cloudregions, GitHub Actions, ArgoCD, Prometheus, Grafana. To enable you in your work, we provide company access Claude Code
What will you do?
Primary responsibilities include:
Collaborate across teams - to shape and define system requirements, ensuring alignment with overall business goals.
Design and drive projects - lead execution of high-priority, high-visibility platform projects, ensuring timely delivery and exceptional quality.
Own feature development - take full ownership of the feature development lifecycle, from refining requirements through to successful production deployment, ensuring seamless integration and functionality.
Build and maintain secure and scalable backend - infrastructure that serves as the backbone for other development teams, supporting their needs and enhancing overall system performance.
Ensure efficiency and performance - develop solutions that guarantee reliability, scalability, and optimal performance, leveraging best practices and modern technologies.
Conduct code reviews - provide constructive feedback, fostering a culture of continuous improvement and high-quality code standards.
Troubleshoot complex issues - quickly identify, diagnose, and resolve, minimize downtime and ensuring smooth operations; be part of rotating on-call duty to respond/troubleshoot to the outage incidents.

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 Staff Data Scientist, you'll play a key role in our cyber defense efforts developing, training, and deploying analytical models to identify and mitigate threats and protect our customers. Working alongside detection engineers, threat hunters, security researchers, and data engineers, your work will translate directly into real-world solutions that strengthen our security posture. If you're passionate about data science and excited by high-impact cybersecurity challenges, this role is for you.
What Will You Do?
Primary responsibilities include:
Prepare for significant challenges and meaningful impact. You will not just solve problems, you will address complex, real-world cyber scenarios, directly contributing to the safety and security of our global customer base.
You will join a team of leading industry experts, gaining access to unique, proprietary data - an essential resource for solving the most intricate cybersecurity puzzles. This role offers the chance to lead and innovate on pivotal projects that will advance our threat detection and threat hunting capabilities.
At our company, you will be a vital contributor to the future of cybersecurity. You will collaborate with some of the finest minds in the industry to overcome extraordinary challenges. Join us in shaping the next generation of cyber protection!

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 Staff Escalation Manager- Prompt Security, you will be tasked with leading and coordinating complex customer escalations, focusing on resolving complex issues and ensuring our customers receive timely, high-quality technical support as we scale our Generative AI security platform. We are seeking a highly collaborative, approachable, and customer-focused individual who will serve as the primary liaison between Technical Support, Product Management, Engineering, and Customer-facing teams, ensuring that high-impact issues are triaged quickly, prioritized correctly, and driven to resolution with clear and consistent communication.
What will you do?
The bulk of your time will be spent deflecting Jira tickets by providing solutions, KBs, and 1-on-1 training directly to the Support team. You will validate priority, review, and manage Jira tickets before engaging Development.
You will also perform trend analysis to identify top product defects and collaborate with the Documentation, Learning and Development (L&D), and Product Management teams to create and update knowledge. Code review may also be applicable, and suggestions for code improvements shared with engineering and Product Management.
For customer escalations, you will help engage the relevant stakeholders in internal and customer-facing conversations, and may lead those conversations from a technical perspective.
Key Responsibilities:
Develop key contacts and relationships with assigned product PM/Dev leadership.
Drive product supportability with PM/Development.
Share support knowledge through available channels (KB, training, videos etc.).
Trend analysis: Identify and track top impacting issues or product defects.
Manage communication and response to Backline Support (Jira).
Act as SME and be the focal point for assigned products.
Research the code to expedite the investigation.
Resolve Defects when possible.
Quality Assessment for Support Jira tickets.
Prioritize Jiras based on customer and support qualifications.
Work to eliminate duplication.
Deflect Jira tickets (Provide solution whenever possible).
Validate severity.
Maintain clarity and quality.
Prioritize and maintain escalations to Dev.
Create/maintain hot escalation board and review with relevant stakeholders.
Create/Maintain support Defects Kanban.
Communication - oversee response/information requests from Dev.