דרושים » אבטחת מידע וסייבר » SecOps Engineer

we are looking for a Managed Cloud Detection and Response Analyst to join our newly established team. The team is responsible for monitoring customers cloud environments and workloads, triaging security alerts, and mitigating cyber incidents.
WHAT YOULL DO
Continuously monitor customers cloud environments and workloads for security alerts and analyze potential cyber threats to identify and prioritize cyber security incidents.
Triage prioritized cyber incidents and coordinate appropriate response actions to mitigate risks effectively.
Work closely with customer teams to guide and assist with investigation and remediation of incidents.
Create and deliver incident reports that document findings and response actions taken for customers.
Write and implement custom detection rules and fine-tune alerts to enhance threat detection capabilities for the customers specific cloud environment.
Develop and maintain cyber incident response playbooks to standardize procedures and enhance the internal methodology of the team.
Stay up to date with the latest threats, vulnerabilities, and trends in cloud security to update response strategies and improve detection methods.

We are looking for a Security Analyst with 3–5 years of experience in security operations, compliance, and cloud security, with a strong emphasis on Amazon Web Services (AWS) and exposure to DevOps/ DevSecOps practices . In this role, you will contribute to SOC operations, security assessments, and compliance programs (SOC 2, ISO 27001) while partnering closely with engineering teams to secure and support AWS environments and services. The ideal candidate will have hands-on experience with AWS security tools, IAM, networking, automation, and monitoring, and will be confident in supporting compliance evidence collection and addressing customer/vendor security assessments. Key Responsibilities
* Monitor and respond to security alerts, incidents, and vulnerabilities.
* Manage and optimize AWS security tools, including GuardDuty, Security Hub, CloudTrail, and IAM.
* Partner with engineering teams to enforce AWS security best practices
* Integrate security checks into CI/CD pipelines (SAST, DAST, IaC, container scanning)
* Support compliance efforts by gathering SOC 2 and ISO 27001 evidence.
* Respond to customer and vendor security questionnaires.
* Maintain playbooks, runbooks, and documentation to strengthen security operations.
* Assist in DevOps related tasks as needed.

We are looking for a Security Analyst to join the Corporate security team and spread the power of our company. In this role, you will help deliver a secure-by-design experience for our company employeesenabling productivity while safeguarding our company and customers. The ideal candidate will have hands-on experience in areas such as endpoint security, identity and access management, detection and response, vulnerability management, and SaaS application security.
WHAT YOULL DO
Security alert triage, resolution and escalation
Develop and improve existing standard operating procedures, response actions, policies, and guidelines
Review SaaS security configurations and collaborate with IT to implement improvements
Conduct access reviews and remediate issues as needed
Maintain and manage security systems including antivirus/anti-malware, DLP, network protection, and endpoint detection & response tools
Stay up to date on the latest security threats, treantinds, and best practices.

We are looking for an exceptional and passionate Competitive Intelligence Analyst (Technical AI Security Focus) to join our companys Competitive Intelligence Group. This role sits at the intersection of cutting-edge AI-driven cybersecurity and strategic technical analysis.
If you are highly analytical, deeply technical, passionate about AI security, and motivated by uncovering insights that influence product and go-to-market strategy this is your opportunity to make a real impact. You will research and analyze the evolving AI threat landscape, evaluate emerging technologies, and help shape how our company competes and leads in the AI security domain.
Key Responsibilities
Conduct in-depth technical research and hands-on analysis of competitor products and AI security solutions focusing on AI-Security and prevention capabilities
Gather and synthesize intelligence from public sources, customer feedback, analyst reports, and hands-on lab testing to understand and counter competitor claims.
Track and analyze the AI threat landscape, including adversarial AI, generative AI risks, and LLM-related security trends.
Develop competitive materials (battlecards, deep-dive reports, technical comparisons) to empower our companys sales, marketing, and product teams.
Collaborate with R&D, Product Management, and Threat Intelligence teams to validate findings and identify technical differentiators.
Engage with sales engineers and field teams to deliver competitive enablement sessions, presentations, and webinars.
Monitor and influence analyst firms (Gartner, Forrester, IDC) with data-driven competitive insights about our companys AI security capabilities.
Support cross-functional strategy initiatives involving AI security positioning, product development, and market readiness.
Work proactively to identify future competitors, market disruptors, and technology shifts related to AI and cybersecurity.

XM Cyber is a leading hybrid cloud security company that’s changing the way organizations approach cyber risk. XM Cyber transforms exposure management by demonstrating how attackers leverage and combine misconfigurations, vulnerabilities, identity exposures, and more, across cloud and on-prem environments to compromise critical assets. With XM Cyber, you can see all the ways attackers might go, and all the best ways to stop them, pinpointing where to remediate exposures with a fraction of the effort. We are seeking a customer-focused Security Analyst to join our managed services team. As a Customer-Facing Security Analyst, you will play a critical role in delivering top-notch exposure remediation services to our clients. You will work closely with customers to assess, analyze, and mitigate exposures in their IT and cloud infrastructure, while providing expert guidance and maintaining strong client relationships. Responsibilities:
* Own and manage the primary technical relationship for a portfolio of enterprise customers, establishing yourself as their trusted security advisor and focusing on strategic security outcomes.
* Deliver continuous security posture assessments by leveraging the XM Cyber platform to translate complex technical findings into actionable, risk-based insights for customers.
* Master the XM Cyber platform to drive maximum value for customers, guiding them on configuration, best practices, and new features to ensure successful adoption and ROI.
* Drive remediation outcomes by acting as the liaison between customers and their internal teams (e.g., IT Operations, DevOps, Cloud Security), helping them prioritize efforts based on attack path analysis.
* Proactively track and report on progress, delivering regular status updates and executive-level business reviews (QBRs) that demonstrate risk reduction and program success.
* Act as a trusted advisor on exposure and attack path management, translating industry trends into proactive, tailored recommendations that enhance your customers' security posture.
* Partner with the broader account team, including Customer Success Managers and Support Engineers, to ensure a seamless customer experience. Act as the lead technical escalation point to resolve complex challenges and champion customer needs with internal teams like Product and R&D.

We are looking for a skilled DevOps Engineer to join our R&D infrastructure team and play a key role in building and scaling cloud-based platforms. In this position, you will design, implement, and maintain modern CI/CD pipelines, manage multi-cloud environments, and support microservices-based architectures. You will work closely with developers, QA, and product teams to streamline delivery processes, improve system reliability, and ensure smooth deployments. This is a hands-on role where you will directly influence the stability, scalability, and efficiency of our production systems while leveraging cutting-edge technologies across AWS and Azure.

Responsibilities
Infrastructure as Code (IaC): Develop and maintain infrastructure using tools like Terraform, Ansible
Cloud Infrastructure Management: Deploy, manage, and monitor applications in cloud environments(aws and Azure)
Collaboration & Support: Work closely with developers, QA, and product teams to streamline releases and improve productivity.
Provide technical support for development and operations teams during incidents and deployments.
CI/CD Pipeline Management:
Design, implement, and maintain continuous integration and delivery pipelines. Automate build, test, and deployment processes to improve speed and reliability.

As a Research Analyst, your responsibilities will include developing, managing and improving existing detection methods, correlating and discovering relationships between events and incidents, and producing research proposals, publications, and analysis reports. You will contribute to process improvement and efficiency by researching, assessing, and analyzing threat actors and adversary tactics and techniques based on real-world observations. We're looking for a motivated and seasoned security professional with the technical skills to analyze malware, conceive, design, and develop new methods or approaches to address Cyber security threats/attacks. We value deep knowledge of hacking methodologies, a proven track record in delivering impactful cybersecurity solutions, and a strong drive to contribute meaningful security insights to our community!

We are seeking an experienced Senior Automation Engineer to join our dynamic team in the field of data security. As the Automation Engineer, you will play a pivotal role in ensuring the quality and reliability of our SaaS product.
Roles & Responsibilities:
Collaborate with cross-functional teams, including development, product management, and customer support, to ensure that quality requirements are well-defined and integrated into the development lifecycle.
Design and execute test plans, test suites, and test scripts to validate the functionality, performance and security of our product.
Drive the design and implementation of test cases, test suites, and test scripts to validate the functionality, performance, and security of our product.
Continuously improve and enhance the quality process, methodologies, and tools to increase efficiency, effectiveness, and test coverage.
Analyze and report on quality metrics, test results, and defects to stakeholders, providing actionable insights and recommendations for improvement.
JR467266

Were looking for an experienced and passionate Staff Data Engineer to join our Data Platform group in TLV as a Tech Lead. As the Groups Tech Lead, youll shape and implement the technical vision and architecture while staying hands-on across three specialized teams: Data Engineering Infra, Machine Learning Platform, and Data Warehouse Engineering, forming the backbone of Lemonades data ecosystem.

The groups mission is to build a state-of-the-art Data Platform that drives Lemonade toward becoming the most precise and efficient insurance company on the planet. By embracing Data Mesh principles, we create tools that empower teams to own their data while leveraging a robust, self-serve data infrastructure. This approach enables Data Scientists, Analysts, Backend Engineers, and other stakeholders to seamlessly access, analyze, and innovate with reliable, well-modeled, and queryable data, at scale.

In this role youll :
Technically lead the group by shaping the architecture, guiding design decisions, and ensuring the technical excellence of the Data Platforms three teams

Design and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient access to actionable insights

Drive initiatives in Data Engineering Infra, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performance

Develop and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insights

Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, real-time models, point-in-time (PIT) data retrieval, and telematics-based solutions

Collaborate closely with other Staff Engineers across Lemonade to align on cross-organizational initiatives and technical strategies

Work seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutions

Share knowledge, mentor team members, and champion engineering standards and technical excellence across the organization

We are seeking a proactive and detail-oriented Customer Success Automation Engineer to join our growing team. The ideal candidate will have a strong technical background combined with a passion for enhancing customer experience through automation. This role will focus on developing and implementing automated solutions to streamline customer success processes, improve efficiency, and drive customer satisfaction.
Key Responsibilities
Develop and Implement Automation Solutions: Design, develop, and deploy automated workflows to optimize customer success operations.
Process Improvement: Identify opportunities for automation within customer success processes and implement solutions to improve efficiency and customer satisfaction.
Technical Support: Provide technical expertise and support to the customer success team in utilizing automation tools and systems.
Data Analysis: Analyze customer data to identify trends, patterns, and areas for improvement. Use data insights to drive automation strategies.
Collaboration: Work closely with cross-functional teams, including Customer Success, Product, and Engineering, to understand customer needs and develop appropriate automated solutions.
Documentation: Create and maintain documentation for all automation processes and workflows.
Training and Support: Train and support customer success team members on new automation tools and processes.