Jobs Security

We are looking for a SOC Lead (Detection Engineering and Automation) to improve detection quality and automation so high-risk attacker behavior is identified with less noise and faster investigation.

This is a unique opportunity to help build and mature the Detection Engineering & Automation function from an early stage, shaping processes, detection strategy, automation, and engineering best practices.

Responsibilities

• Lead and develop the Detection Engineering & Automation squad, setting priorities, mentoring team members, and driving the delivery of detection and automation initiatives
• Own the detection lifecycle end-to-end, including use-case definition, development, testing, tuning, and retirement
• Build and maintain SIEM/EDR detection rules, detection-as-code, enrichment workflows, and SOAR automation playbooks
• Collaborate with SOC, Cyber Defense leadership, Incident Response, and engineering teams to review false positives, reduce alert noise, and address detection coverage gaps
• Map detections to critical assets, attacker TTPs, telemetry sources, and incident response runbooks
• Ensure critical detections have a clear owner, documentation, and validated testing evidence
• Lead security automation initiatives that accelerate investigations while avoiding unsafe autonomous actions

Requirements

• Higher education in Computer Science, Information Security, or a related technical field is preferred
• 5+ years of experience in SOC, Detection Engineering, Threat Detection, or Security Automation
• 2+ years of hands-on experience in Detection Engineering
• 1+ year of experience leading or mentoring a team of engineers
• Hands-on experience writing and tuning detection content (Sigma, YARA, SIEM correlation rules) and applying detection-as-code practices
• Experience with SOAR platforms, automation playbooks, and scripting (Python or similar) to build integrations and automate security workflows
• Strong understanding of attacker TTPs (MITRE ATT&CK), telemetry sources (EDR, network, cloud, identity), and incident response workflows
• Experience defining and tracking Detection Engineering metrics and KPIs (MTTD, MTTR, false-positive rate, and detection coverage)
• English - Intermediate+

Will be a plus

• Experience in fintech, brokerage, trading platforms, payments, or other regulated financial environments
• Experience with cloud-native detection (CNAPP/CSPM) across AWS, GCP, and Azure
• Experience with AI/LLM-assisted alert summarization or detection tooling
• Threat intelligence and threat hunting experience (CTI feeds, MISP, Maltego, or similar tools)
• Previous experience building a Detection Engineering function from an early maturity stage

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical budget
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

We are looking for a Detection Engineering & Automation Lead to improve detection quality and automation so high-risk attacker behavior is identified with less noise and faster investigation.

This is a unique opportunity to help build and mature the Detection Engineering & Automation function from an early stage, shaping processes, detection strategy, automation, and engineering best practices.

Responsibilities

• Lead and develop the Detection Engineering & Automation squad, setting priorities, mentoring team members, and driving the delivery of detection and automation initiatives
• Own the detection lifecycle end-to-end, including use-case definition, development, testing, tuning, and retirement
• Build and maintain SIEM/EDR detection rules, detection-as-code, enrichment workflows, and SOAR automation playbooks
• Collaborate with SOC, Cyber Defense leadership, Incident Response, and engineering teams to review false positives, reduce alert noise, and address detection coverage gaps
• Map detections to critical assets, attacker TTPs, telemetry sources, and incident response runbooks
• Ensure critical detections have a clear owner, documentation, and validated testing evidence
• Lead security automation initiatives that accelerate investigations while avoiding unsafe autonomous actions

Requirements

• Higher education in Computer Science, Information Security, or a related technical field is preferred
• 5+ years of experience in SOC, Detection Engineering, Threat Detection, or Security Automation
• 2+ years of hands-on experience in Detection Engineering
• 1+ year of experience leading or mentoring a team of engineers
• Hands-on experience writing and tuning detection content (Sigma, YARA, SIEM correlation rules) and applying detection-as-code practices
• Experience with SOAR platforms, automation playbooks, and scripting (Python or similar) to build integrations and automate security workflows
• Strong understanding of attacker TTPs (MITRE ATT&CK), telemetry sources (EDR, network, cloud, identity), and incident response workflows
• Experience defining and tracking Detection Engineering metrics and KPIs (MTTD, MTTR, false-positive rate, and detection coverage)
• English - Intermediate+

Will be a plus

• Experience in fintech, brokerage, trading platforms, payments, or other regulated financial environments
• Experience with cloud-native detection (CNAPP/CSPM) across AWS, GCP, and Azure
• Experience with AI/LLM-assisted alert summarization or detection tooling
• Threat intelligence and threat hunting experience (CTI feeds, MISP, Maltego, or similar tools)
• Previous experience building a Detection Engineering function from an early maturity stage

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical budget
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

Reverse Engineer (Android / Windows)

About the Role

We’re looking for a highly skilled Reverse Engineer to analyze, understand, and modify complex software systems across Android and Windows platforms. You will work on low-level system components, proprietary protocols, and real-world production binaries—going far beyond basic static analysis.

This role requires deep technical expertise in native code, system internals, and runtime behavior, with a strong focus on practical reverse engineering and problem-solving.

Responsibilities

• Reverse engineer Android and Windows applications (Java/Kotlin + native C/C++)
• Analyze compiled binaries, obfuscated code, and packed applications
• Perform dynamic instrumentation, tracing, and runtime analysis
• Understand and modify system-level behavior (services, drivers, IPC, networking)
• Reverse proprietary protocols and data formats
• Identify security mechanisms, protections, and bypass techniques
• Develop tooling, scripts, and automation for analysis workflows
• Collaborate with engineering teams to integrate findings into products

Requirements

Core Skills

• Strong experience with reverse engineering tools:
  • IDA Pro / Ghidra / Binary Ninja
  • Frida, LLDB, WinDbg, x64dbg
• Solid understanding of:
  • Assembly (ARM, ARM64, x86/x64)
  • Native code (C/C++)
  • Memory management, calling conventions, binaries

Android

• Deep understanding of Android internals:
  • ART / Dalvik runtime
  • Binder IPC
  • System services & HALs
• Experience reversing APKs and native libraries (.so)
• Familiarity with AOSP structure and system components

Windows

• Understanding of Windows internals:
  • User-mode & kernel-mode architecture
  • Windows APIs, services, drivers
• Experience analyzing PE binaries, DLLs, and system behavior

Nice to Have

• Experience with iOS reversing (Objective-C / Swift, Mach-O)
• Knowledge of anti-debugging / anti-tampering techniques
• Experience with emulators, virtualization, or sandboxing
• Cryptography and protocol analysis experience
• Exploit development or vulnerability research background

What We Expect

• Ability to work with incomplete information and figure things out independently
• Strong debugging mindset and curiosity
• Focus on real-world results, not just theoretical analysis
• Clean and well-documented findings