Engineering Manager II, Cyber Defense

Uber
€ 64.278 - € 81.391 a year
Noord-Holland
Full time
1 week geleden
The security organization at Uber is dedicated to enabling safe and secure innovation while protecting the communities we serve both online and in the physical world. Our team is responsible for protecting both people and their data across intersections of the digital and physical world. The primary objective for the Uber Engineering Security team is to enable the technical ambitions of the company while maintaining the highest standards of security and privacy for our customers and partners. As cybersecurity threats evolve, so do we.

About the role:

We are seeking a talented and experienced Engineering Manager to join our Cyber Defense team and lead the development of the next generation security platform. This platform will be instrumental in enhancing our cyber defense capabilities across security datalake, incident response, vulnerability management and more. The security landscape is constantly evolving, and with the adoption of ML/GenAI backed by extensive heterogeneous data, security threats are inevitably broadened. With your deep and comprehensive expertise across major technology stacks, you will manage software engineering teams to architect, implement and scale industry-leading security solutions for cyber defense. You are not only role models, but also empathic leaders. You are humble teachers, technically mentoring passionate engineers while also delivering uniquely challenging projects. You will have the opportunity to work on cutting-edge technologies, collaborate with cross-functional security and engineering teams, and play a key role in shaping our cybersecurity strategy.

About the Team:

Our mission is to protect, defend, and secure Uber's products, infrastructure and data by building highly available, scalable and extensible security solutions and services. We are focused on proactively identifying and remediating security risks as well as swiftly detecting and mitigating security incidents. In the ever-evolving landscape of cybersecurity, we continuously adapt and evolve our defenses in order to always stay one step ahead of potential threats.

Job duties:
  • Set team direction by identifying technical priorities and opportunities, managing expectations, and considering tradeoffs.
  • Empower delivery by forming actionable plans, allocating responsibilities, and maintaining productivity across engineering teams with well-defined goals and metrics.
  • Develop team structure in alignment with broader organizational strategy and vision, owning: hiring, performance management, and employee development of individual contributors.
  • Champion best software engineering practices and empower managers to build a strong culture of quality to achieve operational excellence.
  • Participate in incident response activities to investigate security incidents, identify root causes, and develop remediation plans.
  • Leverage automation and AI to transform threat defense and response from human-driven to AI-driven
Minimum qualifications:
  • Bachelor's Degree or equivalent in Computer Science, Engineering, Mathematics or related field
  • 5+ years full-time work experience in software engineering, product development and/or security engineering prior to Engineering Management experience
  • 4+ years full-time Engineering Management work experience
  • Ability to problems solve and make complex decisions with incomplete information in ambiguous situations and environments
  • Great interpersonal skills, deep technical ability, and a track record of successful execution in engineering security or product development at cloud-scale.
  • Strong experience in leading complex software projects from inception to delivery
Preferred qualifications:
  • Master's Degree or PhD in Computer Science, Engineering, Mathematics or related field
  • Experience in collaborating with teams over multiple locations, and working across multiple in-house engineering organizations
  • Familiarity with development of production services on public cloud providers (GCP, OCI, Azure or AWS).
  • Experience with AI technologies and frameworks and incorporating them into production systems
  • Knowledge of cybersecurity concepts, tools, and best practices
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