- 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
- 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
- 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
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Software Engineer - Seattle, United States - Lacework
Description
At Lacework, we strive to provide a supportive, collaborative environment where people are empowered to do the best work of their careers.
Our team members enjoy solving complex problems, big sky thinking, and obsess over getting the details right. We love what we do and are proud of our work to secure clouds and container environments for thousands of users worldwide.
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
Actual compensation may vary based on factors such as geographic location, work experience, education/training and skill level.
Location: Mountain View, CA or Seattle, WA
Lacework is an Equal Opportunity Employer. It is the policy of Lacework to provide equal employment opportunity to all persons, regardless of age, race, religion, color, national origin, sex, political affiliations, marital status, non-disqualifying physical or mental disability, age, sexual orientation, membership, or non-membership in an employee organization, or on the basis of personal favoritism or other non-merit factors, except where otherwise provided by law
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