We are looking for an experienced Software Engineer in the Vulnerability Management team to accelerate one of Lacework’s core security application roadmaps. The ideal candidate is a software engineer who is passionate about cloud security, systems engineering, big data, and directly addressing customer-facing issues. This team focuses on delivering products whilst solving engineering challenges at scale. Given the fast-moving nature of this space, candidates should have a learner’s mindset and a curiosity for cloud infrastructure and the surrounding challenges with securing it.
Responsibilities
- Develop an in-depth understanding of the Lacework platform and customer value proposition
- Understand the competitive product landscape and Lacework differentiation
- Drive projects/technical initiatives related to vulnerability scanning and reporting
- Create a rich set of capabilities to support a “shift-left” strategy for policy-based vulnerability management (CI/CD integration, admission controllers, etc.)
- Influence and define delivery timelines in alignment with our field and product teams whilst balancing speed, accuracy and precision
- Build instrumentation, observability, and analytics into the vulnerability services to support data-driven decisioning and incident response
- Work with leadership to track key performance, cost, and efficiency metrics as Service Level Objectives (SLOs)
- Partner with our security modeling team to mutually enhance our detection quality and vulnerability reporting
- Build strong cross functional partnerships (field teams, CTO office, Tech Alliances, etc)
- Demonstrate good communication skills and present work to company leadership and at company-wide events
- Actively participate in both recruiting and mentoring new members of the team
- Strive to use readily available, general and scalable methodologies and tools; staying current with latest tools and techniques
Minimum Qualifications
- Degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research or other related fields) or equivalent practical experience
- 10+ years of experience with SaaS development and deployment using modern cloud platforms
Preferred Qualifications
- Advanced degree (Master’s or PhD or equivalent experience) in quantitative field
- Knowledge of industry standard DevOps toolchains (continuous integration systems, build artifact registries, k8s control plane)
- Exposure to Redis or other in-memory database (memcached or etcd)
- Familiarity with cloud-based data warehouses (Snowflake, Redshift, etc)
- Familiarity with Rust for high-performance applications
- Experience with modern DevSecOps practices and trends
- SQL query optimization
- Experience working in Cloud Security or Infrastructure Security
- Experience recruiting and mentoring other Engineers
- Cloud certifications or other demonstrable cloud domain knowledge
- Experience developing data-intensive applications
- Hands-on design and development of Go and/or Java-based microservices
- Exposure to modern software delivery release models and associated tooling (CI/CD, monitoring, observability)
- Experience working with ambiguity, driving design and implementation to conclusion with limited supervision
Location: London, England