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We are looking for a highly skilled Detection & Automation Engineer to act as the technical cornerstone of our newly expanding 24/7 Security Operations Center. In this role, you will lead the detection engineering efforts across our entire corporate, large-scale cloud infrastructure, and core product telemetry, while playing a pivotal role in evaluating, deploying, and building our first SOAR platform.
If you are an action-oriented builder who loves writing high-fidelity detection rules, integrating APIs, automating manual SecOps tasks, and architecting data pipelines from the ground up, this role is for you.
Responsibilities
Drive SOAR Implementation: Lead the POC, selection, and deployment of a modern SOAR platform. Build the API connectors and Python-based playbooks to automate the triage and incident containment.
Own the SIEM: Lead data ingestion, parsing, and CIM mapping for our corporate infrastructure, cloud, and product telemetry
AI-Driven Automation: Integrate AI and LLM capabilities into SOAR workflows and automation scripts to accelerate alert triage, summarize complex threat data, and streamline incident response.
Advanced Detection Engineering: Translate complex threat intelligence and 3rd-party IR logic into native, high-fidelity alerts inside the SIEM and Application logging platforms
Continuous Tuning: Work closely with the SecOps Analysts in a continuous feedback loop to tune out False Positives and ensure alert fatigue is minimized.
Architectural Integration: Ensure seamless log flow and webhook integrations between infrastructure, SIEM, and our security stack.

We are looking for a highly skilled Cyber Security Engineer to play a key role in shaping and managing our internal security infrastructure, serving as a key partner to our global workforce.
In this role, you will take on complex security challenges across network security, corporate tooling, and access management.
You will help ensure our employees can work securely from anywhere in the world, leverage AI tools safely, and maintain our fast-paced culture without friction.
Responsibilities
Lead and optimize network security architectures, including modern SASE platforms, VPN configurations, SSL/TLS inspection, routing, and firewalls to ensure a seamless and a highly secure Zero Trust Network Access (ZTNA) environment.
Drive the deployment, configuration, and enhancement of enterprise security platforms, like Endpoint Security (EDR/XDR/DLP) and advanced Email Security suites (including SPF/DKIM/DMARC) from POC phase to production.
Act as a technical authority for our IAM architecture. Define strict security policies (MFA, Conditional Access) and work closely with the IT team to continuously improve our identity-first security posture.
Monitor and maintain our cloud security posture across AWS/GCP/Azure environments (including K8s & Containers). Implement cloud-native security controls, manage configurations, and ensure compliance with security standards across all cloud platforms.
Own the vulnerability management lifecycle for infrastructure, endpoints, and corporate software. Drive scanning, prioritization, and remediation tracking in close collaboration with DevOps and IT teams.
Support security incident response, assist in containment, contribute to post-mortem analysis, and help maintain IR runbooks relevant to your domains.
Help define and enforce secure usage policies for GenAI tools (e.g., Copilot, Claude, ChatGPT) to prevent data leakage.
Perform rapid, pragmatic security assessments for new SaaS applications and browser extensions.

We are looking for a SecOps Engineer to join our Global Security team, with a strong focus on automation, cloud security, and operational excellence.
This role is ideal for someone who thrives on building scalable security operations, leveraging automation, AI, and modern tooling to improve detection, response, and overall security posture.
In addition to hands-on SecOps responsibilities, the role includes collaboration with GRC and compliance functions to ensure security operations align with organizational policies and regulatory requirements.
Responsibilities
Security Operations & Detection:
Monitor, investigate, and respond to security events across cloud and corporate environments
Operate and continuously improve SIEM/SOAR platforms and detection capabilities
Perform incident response, root cause analysis, and post-incident improvements
Tune alerts and detection logic to reduce noise and increase signal quality
Automation & AI-Driven Security:
Design and implement security automation workflows (e.g., alert triage, enrichment, response)
Leverage AI tools and AI agents to enhance SecOps efficiency and scalability
Build scripts and integrations (Python, APIs, etc.) to eliminate manual processes
Utilize automation platforms such as n8n (or similar tools) to orchestrate security workflows
Evaluate and integrate modern security technologies, including AI-based solutions
Cloud & Infrastructure Security:
Support security operations across multi-cloud environments (AWS, GCP)
Work closely with DevOps and engineering teams to secure cloud infrastructure
Identify and remediate misconfigurations, vulnerabilities, and access risks
Help enforce least privilege, network segmentation, and secure architecture practices
Security Engineering & Continuous Improvement:
Improve detection coverage and response playbooks
Participate in security testing, threat hunting, and purple-team activities
Contribute to building scalable, resilient security processes
Governance, Risk & Compliance (GRC) Collaboration:
Support implementation and tracking of security controls across the organization
Assist in audit processes, evidence collection, and control validation
Help ensure alignment between operational security activities and internal policies
Work with GRC stakeholders to strengthen overall security posture.

Were looking for an Application Security Engineer with a passion for AppSec to join our growing team.

Responsibilities:
‍‍Build and maintain an advanced security research lab to test, evaluate, and supercharge detection tools.
Analyze tools across multiple domains: SAST, SCA, DAST, Secret Detection, IaC Scanning, Container Scanning, CSPM, and more.
Identify detection gaps and develop techniques and rules to close them.
Leverage Python and AI practices to automate research and drive smarter detection strategies.
Monitor emerging threats, CVEs, and high-profile incidents - and develop relevant detection content and platform enhancements.
Collaborate closely with engineering, product, and marketing.