דרושים » תוכנה » Full Stack Developer - data loss prevention cloud service

We are looking for a Senior Backend Engineer (AI DLP) to join the team building our next-generation DLP product. The team is extending our data-security platform from understanding sensitive data at rest to protecting it at the moment it is used or shared-including across browsers, GenAI applications, and employee endpoints.

You will help build the control plane behind this product: the services that manage endpoint identity and enrollment, policies, classification, device configuration, telemetry, and the connection between our DSPM intelligence and real-time DLP decisions. This is a role with substantial technical ownership, direct customer impact, and close collaboration across Product, Research, Data, Frontend, and Infrastructure.

Responsibilities
Design and implement core backend components of our DLP control plane.
Own features end-to-end: architecture, implementation, testing, rollout, observability, and production operation.
Build secure, reliable multi-tenant services that communicate with browser extensions and endpoint agents deployed across customer endpoint fleets.
Connect our DSPM classification and policy systems with real-time endpoint enforcement, translating data-at-rest intelligence into actionable protection.
Design APIs and data models that support large endpoint fleets, frequent policy updates, offline clients, credential rotation, and safe software upgrades.
Improve the scalability, performance, reliability, and operational visibility of the DLP platform.
Conduct design and code reviews and help establish strong engineering practices.

interested in Cyber security and looking to work on real-world threats?
join the company's network security research team, where you'll help develop protections that keep organizations around the world safe from emerging attacks. our team researches new threats, analyzes network vulnerabilities, develops detection and prevention technologies, and delivers frequent security updates to customers worldwide.
this role combines hands-on security research, threat analysis, and product content development, offering the opportunity to work on a wide variety of technologies, attack techniques, and emerging trends-including the growing use of ai in Cyber security.
research, develop, and release network protections and security updates for the company's network security products.
reproduce and analyze malicious attacks and campaigns to better understand threats and design effective mitigations.
investigate network protocols and identify new detection opportunities.
hunt for emerging threats using the company's cloud-scale data and develop new analysis techniques.
explore how generative ai and llms can improve threat research, detection, and security analysis.
share research findings through technical blog posts and other internal and external publications.
collaborate closely with researchers and developers to bring new protections from research into production.

we are looking for an ai FullStack engineer to join our competitive intelligence team. this role combines deep technical expertise with a builder's mindset to design, implement, and maintain advanced ai-powered systems for automating knowledge collection, generating competitive insights, and ensuring broad internal knowledge sharing across the organization. you will spearhead ai solution projects from initial concept through execution and widespread adoption.
as an ai FullStack engineer - competitive intelligence at the company, you will
define architectural approaches and detailed technical engineering specifications.
main role: build, implement, and maintain the ai-powered intelligence stack, using llms, agentic capabilities, mcps, skills, and advanced rag, to automate data collection, analysis and sharing
make knowledge impossible to miss inside the company. build the competitive intel teams interfaces that get the right competitive insight to the right stakeholder at the right time
drive projects from concept to execution to delivery
evaluate and recommend ml and ai tools and frameworks to enhance productivity and effectiveness
ensure the scalability and reliability of llm-based system architectures
engage with requirement gathering and product discussions with internal customers at the company
be the focal point for collaborating with is, it and data science teams
have solid understanding of various aspects of the software development supply chain, including DevOps, devsecops and mlops, and conduct in-depth technical research around them
to be an ai FullStack engineer - competitive intelligence at the company you need
a proactive builder's mindset: a desire to automate workflows, take end-to-end ownership, and drive continuous improvement
bachelor's degree or higher in Computer Science, data science, software engineering, or similar
4+ years of relevant hands-on experience in developing and scaling production-grade genai architectures using modern llm stacks
proficiency with relevant tools, processes, and frameworks, such as: langchain, crewai, openclaw, NLP, vector databases, rag, building mcps and skills
coding fluency in Python and at least one other language (typescript/ JavaScript, go or rust)
deep understanding of cloud and cloud-native principles, including hands-on experience with major cloud environments (aws, gcp, azure) and containers/kubernetes
proven ability to conduct deep technical investigations - analyze complex systems, cloud environments, source code, and documentation, and synthesize the collected data into clear insights
passion and curiosity to stay current of industry trends and technological advancements
great communication skills and proven ability to serve as a liaison, coordinating and driving action across diverse org-groups (is, it, data science) to ensure effective enterprise-wide systems integration
excellent english communication (written and verbal)
comfortable in a dynamic, fast-paced company
significant advantages:
Full-Stack web development experience
3+ years of relevant hands-on experience in setting up, configuring, and using a broad range of industry devsecops technologies (ex. kubernetes, the company artifactory, gitlab, sonarqube, coding agents, security vulnerability scanners, github actions)

We are seeking a Head of Research to build and lead our research group reporting to the Co-founder and CTO. You'll set the research agenda for how AI agents, spanning coding agents, SaaS AI platforms, cloud, and endpoints, can be abused, and you'll turn that research into the detections and runtime protections that define our product. You'll build the team, the threat intelligence function, and the processes that keep us ahead of a threat landscape that changes weekly. This is a hands-on leadership role. You'll still go deep on platforms and attack paths while scaling research into a core differentiator of the company. You will help define the field of Agentic Security and be one of its leading voices.

Responsibilities

Lead and grow the research team: Hire, mentor, and manage AI security researchers. Build a culture of rigor, speed, and ownership.

Own the research direction: Proactively identify emerging agentic threats and platforms, prioritize research projects, and set a roadmap aligned with product and customer needs.

Build threat intelligence processes: Establish how we collects, triages, and operationalizes threat intelligence on agentic attacks. This includes in-the-wild abuse, malicious MCP servers, skills and extensions, and new techniques from the research community.

Drive research into product: Partner closely with engineering and product so findings become production detections, runtime policies, and governance capabilities. Own the coverage and quality of our detection logic.

Define detection strategy: Set standards for detection logic across environments, including coverage models, efficacy measurement, and false positive and false negative management at enterprise scale.

Stay hands-on: Lead deep dives into platform architectures, monitoring and enforcement boundaries, and end-to-end PoCs for the most critical attack paths.

Represent us externally: Publish research, advisories, and vulnerability disclosures. Speak at leading security conferences and build our reputation as the authority on agentic security.

Support customers and the field: Provide research expertise for customer engagements, incident investigations, and strategic accounts.

a fast-growing defense-tech startup, developing an ai-powered video intelligence platform is looking for a Full Stack engineer. in this roll, you will be part of building and scalling a mission-critical ai platform, that enables Real-Time threat detection and investigations across thousands of cameras for government and security organizations worldwide. youll own features end-to-end, contribute to architectural decisions, and develop reliable, intuitive experiences for complex ai-powered workflows.
responsibilities:
lead engineering projects from design through deployment.
build and maintain scalable backend services and modern frontend applications.
develop intuitive interfaces for complex data and ai-driven workflows.
contribute to system architecture, performance, reliability, and production readiness.
collaborate with product, design, and ml teams.
establish engineering best practices and contribute to technical direction.

at the company, what you do matters. every day, we protect over 100,000 organizations worldwide from increasingly sophisticated cyber and ai-driven threats, securing their ai transformation.
our prevention-first approach safeguards hybrid networks, cloud environments, digital workspaces, and ai systems, stopping attacks before they happen.
this is where innovation meets real-world impact. youll help customers across industries operate with confidence in a rapidly changing digital world, working alongside smart, curious people who take ownership, challenge assumptions, and solve complex problems.
were proud to be recognized by time, newsweek, and forbes for excellence and workplace culture.
what really sets the company apart is the opportunity to grow, contribute, and help companies navigate their ai transformation securely.
if youre excited to work at the forefront of ai-driven security on a global scale, this is the place to do it.
we're a next-gen xdr product that leverages data from all points of the organization using cutting-edge Big Data frameworks, advanced ml pipelines, and unparalleled cybersecurity insights to deliver the future of cyber prevention, detection, and response.

What will you do:
Develop and refine machine learning models and generative AI systems to automatically understand and categorize risks in Application Lifecycle Management systems.
Collaborate with product and engineering teams to integrate AI tools seamlessly into existing workflows, enhancing the proactive identification of security risks.
Analyze data from a variety of sources, ensuring that the AI systems adapt to new patterns and insights dynamically.
Participate in the ongoing development of our AI capabilities, pushing the boundaries of automated security risk assessments.
Communicate complex AI concepts and the benefits of proposed solutions to non-technical stakeholders.

Were looking for a passionate and creative Software Engineer with a strong data-driven mindset and around 4 years of experience to join our team. In this role, you will contribute to developing our cloud-based personalized networking and security management solutions, as well as building scalable systems for processing and analyzing data across multiple networks.
Responsibilities:
End-to-end development, from processing large-scale data to building intuitive web interfaces
Designing and implementing data pipelines, analytics, and insight-driven features
Developing backend services with a focus on performance and scalability using C/C++ and Python
Contributing to frontend development and overall system integration
Implementing and testing network security enterprise solutions
Conducting research and prototyping new features and product ideas
Exploring new technologies and integrating them into the product
Driving a data-driven approach to product and engineering decisions.

We are looking for a Data Products Engineer to take full ownership of our internal product suite - the full-stack applications, AI agent tools, and automation pipelines that power teams across the entire company every day. You will step into an established ecosystem and take the reins. Your mission is to maintain, evolve, and build the next generation of these internal tools so every department can move faster and make smarter, data-driven decisions.

Reporting directly to the VP of CS & Data, this is a high-autonomy, tech-lead role. You wont just write code; you will make architectural decisions, solve complex domain challenges with smart software, and shape how the entire company interacts with data.

How will your day-to-day look?
Own the Internal Product Suite: Lead the development of our core full-stack applications. You will build and scale the central platforms and dashboards that give Product, CS, Sales, and executive leadership visibility into product usage, account health, business performance and more.
Advance the Internal AI Layer: Design, deploy, and refine custom agentic AI workflows - enabling teams across the organization to query complex B2B and product data naturally and conversationally.
Engineer Smart Automations: Architect workflow automations and custom APIs that pipe downstream data directly into the operational tools our teams use every day.
Bridge Data and Software: Partner seamlessly with Data Ops and Data Analysts to transform raw data models into highly usable, intuitive user interfaces and automated actions.
Run the Infrastructure: Own the end-to-end DevOps lifecycle for our internal applications, managing deployment, containerization, observability, and CI/CD pipelines.
Drive Technical Strategy: Act as the technical anchor for internal tools. You will translate high-level product and business challenges from company leaders into shipped, reliable software.