Top Cybersecurity Jobs in Hungary

Secure SEON’s cloud-based fraud-prevention platform through IAM hardening, infrastructure guardrails, detection engineering, incident response, vulnerability remediation, and threat modeling. Lead ISO 27001, ISO 42001, SOC 2, and PCI DSS assurance programs; automate evidence collection and access reviews; manage customer questionnaires, vendor reviews, policies, risk registers, and regulatory obligations.

Secure Zapier’s production infrastructure by identifying and mitigating risks, hardening cloud environments, improving Terraform and CI/CD security, managing vulnerability and misconfiguration tools, enforcing least-privilege access, strengthening data governance, hardening Kubernetes images, and supporting incident response. The role collaborates with Platform, Engineering, and Security teams in a remote-first environment.

Leads the architecture, strategy, and delivery of secure, cloud-native identity and security platforms. Directs distributed engineering teams, defines technology roadmaps and governance, establishes engineering best practices, manages technical and operational risks, and partners with senior stakeholders. The role also develops engineering talent, oversees large-scale Java and distributed systems delivery, and ensures compliance, resilience, observability, and security across enterprise platforms.

Build and deploy production-grade LLM applications, RAG pipelines, autonomous agents, and AI-powered cybersecurity capabilities. Work directly with AppSec, SOC, threat intelligence, and vulnerability management teams to solve operational challenges. Develop secure Python services, integrate enterprise security tools, establish AI evaluation and guardrail frameworks, and deploy containerized systems through CI/CD. The role requires strong AI engineering and cybersecurity expertise, with placement at AVP or VP level based on experience and technical depth.

Designs, architects, tests, and leads global edge and perimeter security platforms, including WAF, CDN, telemetry, and observability solutions. Defines enterprise cybersecurity strategies, roadmaps, architectures, and standards; performs hands-on testing of emerging technologies; monitors client-facing service resilience; manages security risks and vendor relationships; and leads global virtual teams. Requires strong network security, firewall, proxy, Linux/Unix, scripting, regulatory, and large-scale security design expertise.

Architects and operates enterprise full-packet capture infrastructure for threat detection and network forensics. Develops Python automation, PCAP archival pipelines, APIs, and data integrations; deploys Arkime, Zeek, and OpenSearch; designs high-throughput capture using SmartNICs and kernel-bypass technologies; investigates incidents with Wireshark and tcpdump; and builds monitoring dashboards with Grafana, Prometheus, and InfluxDB.

Conduct penetration tests, vulnerability assessments, and red-team evaluations of web applications, APIs, mobile applications, AI systems, and agentic platforms. Design tests for prompt injection, retrieval poisoning, tool misuse, data extraction, and unsafe delegation. Build AI-assisted security testing tools and workflows, triage findings, communicate risks, and embed security into development. Help define AI security architecture, evaluation frameworks, runtime controls, and detection playbooks across a large financial institution.

Designs and implements application, cloud, Kubernetes, and development-pipeline security controls. Responsibilities include threat modeling, secure design and code reviews, automated testing, AWS and EKS security, security automation, vulnerability investigation, penetration-test remediation, logging and incident response, and HIPAA/SOC 2 technical controls. The role partners directly with engineering and SRE teams and owns security projects from design through ongoing improvement.

Build and scale low-latency AI serving infrastructure for SLMs, prompt-injection engines, and classification services. Architect GPU-accelerated inference pipelines, backend microservices, Kubernetes clusters, rate limiting, tenant guardrails, monitoring, and autoscaling systems. Develop continuous evaluation, retraining, model CI/CD, regression gates, and MLOps/LLMOps pipelines while improving service reliability, latency, cost efficiency, and detection quality.

Build and harden Chromium-based browser components in C++ for AI and browser security. Develop prompt-injection and Shadow AI detection, integrate AI agents, MCP servers, and CDP, and support networking and HTTP security capabilities. Build tooling and detection services with Python or Rust, deploy cloud infrastructure on AWS or GCP using Kubernetes and Terraform, and optimize high-scale systems across browser and backend environments.

Conduct penetration tests, vulnerability assessments, and red-team evaluations of AI applications, agents, APIs, and mobile or web systems. Design tests for prompt injection, retrieval poisoning, tool misuse, data extraction, and unsafe delegation. Use AI-powered tools to improve reconnaissance, validation, and vulnerability triage. Partner with development and security teams to embed assessments into delivery processes, communicate risk, and build security tooling and controls for enterprise AI systems.

Own end-to-end security for tokenized-asset infrastructure, including smart-contract audits, penetration testing, threat modeling, secure code review, custody and signing workflows, IAM, secrets management, detection, incident response, and remediation. Contribute TypeScript product engineering while partnering with engineering, security, CISO, compliance, auditors, and external assessors across blockchain and cloud environments.

Own and operate the AI security runtime control plane across Azure, AWS, and GCP. Build inline AI enforcement, tune prompt-injection, data protection, tool-call, and agent access policies, and integrate security platforms with SIEM/SOC workflows. Lead L3 investigations, automated containment, cloud and Kubernetes security, DevSecOps controls, vendor evaluations, and closed-loop red-team remediation. The role requires automation, infrastructure-as-code security, multi-cloud identity management, incident response, and collaboration with technical leadership.

Provides L2 monitoring, triage, investigation, and escalation for AI and cloud security detections. Analyzes telemetry using KQL or SQL, maintains dashboards, and produces operational, compliance, and risk reporting. Investigates AI threats including prompt injection, jailbreaks, data leakage, agent hijacking, and unauthorized tool activity. Monitors Azure, AWS, and GCP posture, supports vulnerability and compliance remediation, documents cases, and partners with SOC, cloud, incident response, and engineering teams.

Build and deploy production-grade LLM applications, RAG pipelines, autonomous agents, and AI-powered cybersecurity workflows. Partner with AppSec, SOC, threat intelligence, and vulnerability management teams to solve operational problems. Develop secure Python services, containerized microservices, CI/CD pipelines, evaluation frameworks, and AI guardrails. Address prompt injection, data leakage, model abuse, and insecure tool execution while standardizing reusable AI security components across the organization. Hiring spans AVP and VP levels, requiring substantial software engineering, AI/LLM, and cybersecurity expertise.

Manages cloud and application vulnerabilities across AWS, Azure, or GCP environments. Configures scanning tools, triages findings, drives remediation, and builds automation using Python, PowerShell, and AI agents. Partners with engineering teams on patching, audits, compliance, incident response, cloud security policies, and risk mitigation. Develops dashboards, maintains AI security documentation, tracks emerging AI risks, and supports the AI Security Architect in piloting new capabilities.

Own Coinflow’s defensive and offensive security posture by operating the SIEM, conducting internal penetration tests, managing vulnerabilities and dependencies, improving the secure development lifecycle, and supporting PCI DSS, SOC 2, ISO 27001, and DORA compliance. The role also includes security monitoring, incident triage, threat modeling, security tooling automation, and collaboration with engineering teams across cloud and application environments.

Build production infrastructure features in Go while embedding security into the product. Own vulnerability triage and remediation through patched releases, threat-model new features, conduct security-sensitive code and design reviews, and improve secure engineering practices. Requires deep Kubernetes knowledge, including API server, admission control, RBAC, controllers, kubelet, and attack surfaces such as container breakout and privilege escalation.

Manage and grow cybersecurity channel partnerships across EMEA. Responsibilities include developing joint business plans, driving indirect revenue, managing pipelines and deal registrations, enabling resellers and distributors, executing channel programs, coordinating co-marketing, recruiting partners, analyzing performance, and collaborating with sales, marketing, product, engineering, and customer success teams.

Own the full enterprise sales cycle across Iberia, from prospecting and new-logo acquisition through negotiation and close. Manage territory activities, complex multi-stakeholder deals, demos, proof-of-value engagements, pipeline forecasting in Salesforce, and strategic customer relationships. Collaborate with Marketing, Sales Engineering, Product, and Leadership while consistently exceeding quotas and mentoring junior team members.

Operate security infrastructure, monitor detection tools, respond to incidents, research CVEs and threat intelligence, guide vulnerability remediation, manage authentication and secrets systems, develop security auditing and analysis tools, and support identity infrastructure including Kerberos, SSH, SSL, and Active Directory.

Own the full enterprise sales cycle across the Nordics, from prospecting through negotiation and close. Drive new-logo acquisition, manage complex multi-stakeholder deals, deliver tailored demos and proof-of-value engagements, maintain pipeline and forecasting in Salesforce, and build trusted relationships with key stakeholders. Collaborate with marketing, sales engineering, product, and leadership while consistently exceeding quotas and supporting junior team members.

Perform penetration testing, red team and blue team exercises, vulnerability assessments, security compliance reviews, risk reporting, and system or application hardening. The role supports security documentation and continuous improvement while collaborating with international IT and cybersecurity teams. Candidates need at least three years of hands-on penetration testing experience, AWS and security expertise, knowledge of adversarial TTPs, strong analytical skills, and fluent English.

Leads the architecture, strategy, and delivery of secure, cloud-native identity and security platforms. Directs distributed engineering teams, defines technology roadmaps and governance, promotes development and operational best practices, manages technical and regulatory risks, and partners with senior stakeholders. The role also develops engineering talent and oversees scalable platforms using Java, microservices, Kubernetes, Kafka, security protocols, databases, and DevOps practices.

Own product and infrastructure security across fintech products and cloud environments. Lead threat modeling, architecture reviews, secure code reviews, vulnerability management, bug bounty operations, CI/CD security scanning, IAM and secrets management, and security standards. Partner directly with engineering leadership to identify and remediate critical vulnerabilities across backend services, APIs, frontends, Solana programs, and infrastructure.