Director of Engineering, Security Risk Management (Switzerland)

Jobgether • Switzerland
Remote
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AI Summary

Lead the development of large-scale security and vulnerability management systems in a distributed engineering environment. Shape technical vision and drive the evolution of scalable systems for security risk management. Requires 10+ years of experience, including 5+ years leading large-scale distributed systems.

Key Highlights
Lead technical strategy and architecture for security risk management and vulnerability analysis systems.
Design and oversee distributed systems for processing high volumes of vulnerability data.
Mentor senior engineering talent and foster a culture of technical excellence.
Key Responsibilities
Lead the technical strategy and architecture for large-scale security risk management and vulnerability analysis systems.
Design and oversee distributed systems capable of processing high volumes of vulnerability data, repositories, dependency graphs, and security events in real time.
Drive decisions related to scalable storage architectures, balancing performance, reliability, retention, and cost efficiency across multiple data paradigms.
Build and optimize event-driven and microservices-based systems to support enterprise-grade security workflows and remediation pipelines.
Establish engineering standards for observability, scalability, resilience, performance optimization, and fault-tolerant system design.
Mentor and grow senior engineering talent while fostering a culture of technical excellence, innovation, and continuous improvement.
Collaborate with product management and design teams to create intuitive user experiences for developers and security professionals.
Define and maintain architectural decision processes and long-term technical roadmaps for security analysis, risk scoring, and remediation automation.
Partner with cross-functional engineering teams to ensure seamless integration across the broader DevSecOps ecosystem.
Lead incident management and operational response for performance and availability issues affecting customer-facing security systems.
Engage with enterprise customers and stakeholders to understand scaling challenges and align technical solutions with evolving business needs.
Technical Skills Required
Apache Kafka Apache Flink Kubernetes Vulnerability Assessment Dependency Scanning Static Analysis Security Testing
Benefits & Perks
Competitive compensation package
Bonus potential
Equity opportunities
Fully remote work environment
Flexible paid time off
Comprehensive healthcare and wellness benefits
Employee stock purchase plan
Equity compensation programs
Growth and development budget
Paid parental leave
Family support programs
Home office support
Remote work equipment assistance

Job Description


This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director of Engineering, Security Risk Management in Switzerland.

This role offers an exciting opportunity to lead the development of large-scale security and vulnerability management systems within a highly innovative and distributed engineering environment. You will shape the technical vision and engineering culture for a platform designed to help organizations manage security risks across massive codebases and complex infrastructures. Working closely with product, design, infrastructure, and data teams, you will drive the evolution of scalable, high-performance systems that deliver actionable security insights to developers and security professionals alike. The position combines strategic leadership, architectural ownership, and hands-on technical influence in a fast-paced remote-first setting. You will also mentor senior engineering leaders, establish operational excellence standards, and contribute to building resilient systems that support enterprise-scale DevSecOps workflows. This is an ideal opportunity for a seasoned engineering leader passionate about distributed systems, application security, and high-impact innovation.

Accountabilities

  • Lead the technical strategy and architecture for large-scale security risk management and vulnerability analysis systems.
  • Design and oversee distributed systems capable of processing high volumes of vulnerability data, repositories, dependency graphs, and security events in real time.
  • Drive decisions related to scalable storage architectures, balancing performance, reliability, retention, and cost efficiency across multiple data paradigms.
  • Build and optimize event-driven and microservices-based systems to support enterprise-grade security workflows and remediation pipelines.
  • Establish engineering standards for observability, scalability, resilience, performance optimization, and fault-tolerant system design.
  • Mentor and grow senior engineering talent while fostering a culture of technical excellence, innovation, and continuous improvement.
  • Collaborate with product management and design teams to create intuitive user experiences for developers and security professionals.
  • Define and maintain architectural decision processes and long-term technical roadmaps for security analysis, risk scoring, and remediation automation.
  • Partner with cross-functional engineering teams to ensure seamless integration across the broader DevSecOps ecosystem.
  • Lead incident management and operational response for performance and availability issues affecting customer-facing security systems.
  • Engage with enterprise customers and stakeholders to understand scaling challenges and align technical solutions with evolving business needs.

Requirements

  • 10+ years of software engineering experience, including at least 5 years leading large-scale distributed systems and engineering organizations.
  • Proven expertise in designing and operating high-throughput, low-latency distributed architectures handling millions of daily operations.
  • Strong background with relational, graph, time-series, and distributed database technologies.
  • Experience with stream-processing frameworks and event-driven architectures such as Apache Kafka, Apache Flink, or similar technologies.
  • Hands-on knowledge of cloud-native infrastructure, Kubernetes, and modern observability and monitoring stacks.
  • Solid understanding of application security concepts including vulnerability assessment, dependency scanning, static analysis, or security testing.
  • Demonstrated success leading and scaling high-performing engineering teams in fast-paced or high-growth environments.
  • Ability to drive engineering culture transformation and establish standards for technical excellence and operational maturity.
  • Excellent communication and stakeholder management skills, with the ability to explain complex architectural decisions to technical and executive audiences.
  • Strong systems-thinking mindset with the ability to balance scalability, maintainability, reliability, and speed of delivery.
  • Experience delivering major architectural transformations, platform migrations, or large-scale modernization initiatives.
  • Familiarity with data-driven experimentation, performance optimization, and continuous improvement methodologies.
  • Collaborative leadership style with experience working across engineering, infrastructure, product, and design organizations.

Benefits

  • Competitive compensation package including base salary, bonus potential, and equity opportunities.
  • Fully remote work environment with flexible location options.
  • Flexible paid time off to support work-life balance and personal well-being.
  • Comprehensive healthcare and wellness benefits.
  • Employee stock purchase plan and equity compensation programs.
  • Growth and development budget to support continuous learning and career advancement.
  • Paid parental leave and family support programs.
  • Home office support and remote work equipment assistance.
  • Inclusive and collaborative culture with employee resource groups and knowledge-sharing initiatives.
  • Opportunity to work on highly impactful systems solving complex distributed security challenges at global scale.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


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