לוח משרות דרושים מומחה אבטחת מידע / סייבר עבודה היברידית, לחיפוש זה נמצאו 27 משרות

Were seeking a Senior Application Security Engineer who is first and foremost a teacher, advisor, and enabler for our development teams.
Rather than owning security alone, youll embed secure-by-design thinking across engineering by mentoring developers, guiding architecture decisions, and making secure development intuitive and frictionless.
Youll serve as the go-to partner for developers and engineering leaders, offering clear direction, practical solutions, and hands-on mentorship that strengthens our secure SDLC.
Who You Are:
A proactive self-starter with deep expertise in application and cloud security
Passionate about secure development and enabling engineers through thoughtful guardrails
Clear and confident communicator who can influence across technical and non-technical teams
Curious about emerging threats and excited by the challenges of blockchain security
Committed to excellence, with a strong sense of ownership and a drive to build secure systems that scale

we are looking for a Security Researcher.
As a Security Researcher you will focus on simulating our most advanced adversaries against our data collection products affecting thousands of customers.
You will acquire significant knowledge of the web application security field, building new machine learning data collection methods and helping to scale the Bright Data collection platform to new levels as our customer base continues to grow.
Why You'll Love It:
You'll be reversing some of the best anti-bot systems on the planet - it doesn't get more cutting-edge than this.
You'll have a real say in the projects you're part of - this isn't a "just execute" kind of role.
You can actively shape the way this team works - it's still being built, and your fingerprints will be on it.
Got an idea? You can take it straight to the COO - no red tape, no politics.
The people make it - SecRes and Bright Data are genuinely great teams to be part of.
*Fully remote position
Responsibilities:
Conducting in-depth research on tools or services that prevent the free collection of public web data.
Building and improving HTTP client solutions to guarantee the success of Bright's Data collection efforts.
Identifying new standards and technologies that could impact our data collection capabilities.
Reverse engineering adversary solutions to prevent fingerprinting solutions from stopping us.
Theres much more

We are looking for a Identity Security Analyst who will focus on investigating and resolving customer-reported security bugs. In this role, youll sit at the intersection of security research, product engineering, and customer success: youll reproduce issues, analyze impact and root cause, coordinate fixes with R&D, and communicate findings back to customers in a clear, actionable way.
This is a hands-on, technical position ideal for someone who enjoys debugging, incident-style investigations, and direct customer impact.

We are looking for a Senior Cloud Security Engineer to help build secure-by-default cloud platforms across Azure and AWS. This is an engineering-focused role centered on preventive controls, scalable guardrails, Kubernetes security, network security, and automation, not a SOC or incident-response-first position.
Primary focus areas: cloud security guardrails, Kubernetes security, cloud network controls, and automation across Azure and AWS
What You Will Do?
You will own the security architecture, guardrails, and automation patterns, while partnering with platform and infrastructure teams on implementation.
Own and evolve Cloud Security Posture Management (CSPM) capabilities, including policies, guardrails, and automated remediation.
Engineer and maintain cloud network security controls, including network segmentation and isolation, cloud-native firewalls and security groups, Application Gateway / WAF configurations, and secure ingress and egress patterns.
Define and enforce security best practices for Kubernetes environments (AKS/EKS), including RBAC, network policies, workload isolation, and cluster hardening.
Partner with engineering teams on architecture reviews for new services, platforms, and major changes, helping teams design secure, compliant, and practical solutions.
Engineer and maintain identity and access security controls for cloud and production environments, including least privilege, workload identity, service principals, and conditional access.
Apply a security lens to FinOps, defining guardrails that balance cost optimization with security and compliance.
Develop tooling, automation, and self-service workflows that reduce manal effort and improve consistency across security programs.
Communicate complex security risks and technical recommendations clearly to engineering teams, leadership, and cross-functional stakeholders.
Mentor junior engineers and contribute to raising the overall security maturity of the organization.

we are looking for a Senior Security Engineer.
In this role, your solutions and expertise will have a company-wide impact. You will build cutting-edge software that solves complex pain points, actively support security efforts, and collaborate directly with teams across Akamai to reduce our overall attack surface.
As a Senior Security Engineer, you will be responsible for:
Designing, developing, testing, and deploying scalable security tools adopted across the organization.
Acting as a technical resource during security incidents to analyze threats and deploy scripts.
Researching and integrating AI and machine learning to automate workflows and enhance security.
Partnering with diverse teams to understand operational environments and engineer customized solutions.
Managing, documenting, and upgrading internal security tools to address evolving business needs.
Staying at the forefront of InfoSec and AI landscapes to upskill the team.

As we scale and evolve our fully automated fraud prevention strategies, we are seeking a Data Analyst to join our growing Fraud Analytics team.
We operate in a data-rich, fast-paced environment, processing billions of data points annually, and play a critical role in safeguarding large enterprises from fraud. In this role, you will work at the intersection of data analysis, fraud strategy, and automation, collaborating closely with engineering, data science, and commercial teams to develop scalable fraud detection solutions.
This is a high-impact role with significant ownership and cross-functional collaboration in a team with tremendous room for growth. If you are highly motivated, data-driven, and thrive in a fast-moving environment - you belong with us.
Key Responsibilities
Develop and refine fraud detection strategies by analyzing complex datasets and identifying fraud patterns.
Partner with cross-functional teams, including software engineers, data scientists, and commercial stakeholders, to develop scalable fraud solutions.
Conduct deep-dive risk analyses, leveraging multiple data sources to assess fraud threats and define innovative solutions.
Monitor and automate fraud detection processes to enhance efficiency and effectiveness.

we are looking for a Fraud Data Scientist.
As a Fraud Data Scientist, you will be at the front lines of protecting our ecosystem from sophisticated financial fraud and abuse. You will join a high-impact team operating in a data-rich, high-frequency environment where seconds matter.
In this role, you will take ownership of the end-to-end machine learning lifecycle-from uncovering complex fraud patterns to deploying highly scalable, real-time models into production. You will collaborate closely with Engineering, Product, and Risk Operations to build robust defenses that balance strict security with a seamless user experience.
What You Will Be Doing
Model Development & Deployment: Design, train, and deploy advanced machine learning models (e.g., gradient boosting, anomaly detection, graph networks) to detect and mitigate fraud in real-time.
Production Ownership: Take full ownership of putting models into production systems, ensuring low-latency execution and high reliability.
Agentic Workflows: Research, build, and implement Agentic flows and LLM-driven orchestration to automate multi-step fraud decisioning, logic routing, and investigation paths.
Adversarial Analysis: Conduct deep-dive exploratory analysis on massive datasets to identify emerging fraud vectors, loops, and coordinated attacks.
Feature Engineering: Build and optimize real-time streaming and batch features to improve model signal and precision.
Experimentation & Monitoring: Design rigorous shadow-testing and A/B testing frameworks for new models. Set up continuous monitoring pipelines to catch data drift and performance degradation early.

we are looking for a Junior Fraud Data Scientist.
As a Junior Fraud Data Scientist, you will contribute to our ongoing efforts to protect our ecosystem from financial threats and abuse. Working under the guidance of senior team members in a data-rich environment, you will assist in identifying malicious behaviors, support detection coverage, and help maintain our automated mitigation strategies.
This role is designed for an analytical professional with 1-2 years of experience who wants to build a deep expertise in adversarial data, learn from an experienced team, and develop their technical skills across modern cloud data platforms.
What You Will Be Doing
Exploratory Data Analysis: Support the team by mining behavioral and transactional datasets to help identify anomalies and emerging fraud patterns.
Model Support & Optimization: Assist in building, tuning, and validating machine learning models (e.g., XGBoost, LightGBM) under the supervision of senior data scientists.
Feature Generation: Extract, engineer, and prepare new data features from structured and unstructured sources to help improve model performance.
Dashboarding & Monitoring: Build and maintain internal dashboards and pipelines to track model health, data drift, and key fraud KPIs.
Cross-functional Collaboration: Work alongside Fraud Analytics and Product teams to help translate operational fraud insights into automated data solutions.

Serving as a vCISO for client organizations - owning their security strategy, roadmap, and executive reporting.
Leading and executing cross-organizational Cyber security consulting projects at our customers.
Conducting procedural and technological cyber risk assessments and designing remediation plans.
Leading regulatory compliance projects and audits for international organizations, in line with global and local Cyber security and privacy frameworks.
Drafting information security policies, procedures, and guidelines.
Advising on security solutions and architecture, and delivering client training on security practices and risk mitigation.
Presenting expert-level deliverables to technical and executive audiences, and maintaining client relationships and satisfaction.