<div class="content-intro"> <div id="6032d9f1bf642" class="component page-object text"> <p>At Lacework, we strive to provide a supportive, collaborative environment where people are empowered to do the best work of their careers.</p> </div> <div id="602ee361e485f" class="component page-object text"> <p>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.</p> </div> </div><p> <strong> <em>The Role: </em> </strong> <span style="font-weight:400;">We are looking for a software engineer in the Machine Learning Platform team to join one of Lacework’s essential groups developing and optimizing machine learning platform services. The ideal candidate is a ML or software engineer who is passionate about machine learning, cloud security, and directly addressing customer-facing issues. This team focuses on delivering ML products while solving engineering challenges at scale. Given the fast-moving nature of this space, candidates should have a learner’s mindset. The responsibilities for this role include:</span> </p> <ul> <li style="font-weight:400;"><span style="font-weight:400;">Develop an in-depth understanding of the Lacework platform and customer value proposition</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Understand the competitive product landscape and Lacework differentiation</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Drive projects/technical initiatives related to ML platform engineering</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Influence and define delivery timelines in alignment with our field and product teams while balancing speed, accuracy and precision</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Build instrumentation, observability, and analytics into the machine learning services to support data-driven decisioning and incident response</span></li> <li style="font-weight:400;"> <span style="font-weight:400;">Work with leadership to trac</span><span style="font-weight:400;">k key performance, cost, and efficiency metrics as service level objectives (SLOs)</span> </li> <li style="font-weight:400;"><span style="font-weight:400;">Partner with our security efficacy team to mutually enhance our detection quality</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Build strong cross functional partnerships (ML research, data platform, cloud economics, etc)</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Demonstrate good communication skills and present work to company leadership and at company-wide events</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Actively participate in recruiting and mentor new members of the team</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Strive to use readily available, general and scalable methodologies and tools; stay current with latest tools and techniques</span></li> </ul> <p> <strong>Minimum Qualifications</strong> </p> <ul> <li style="font-weight:400;"><span style="font-weight:400;">Degree in quantitative field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research or other related field)</span></li> <li style="font-weight:400;"><span style="font-weight:400;">4+ years of experience with software development and deployment using modern cloud platforms</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Strong experience developing data-intensive applications</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Experience with developing machine learning applications</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Hands-on design and development of Go and/or Java-based microservices</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Exposure to modern software delivery release models and associated tooling (CI/CD, monitoring, observability)</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Ability to deal with ambiguity, driving design and implementation to conclusion with limited supervision</span></li> </ul> <p> <strong>Preferred Qualifications</strong> </p> <ul> <li style="font-weight:400;"><span style="font-weight:400;">Advanced degree (Master’s or PhD or equivalent experience) in a quantitative field</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Experience of ML Ops and CI/CD integrations and tools</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Experience with data processing/ML platform tools (sagemaker, tensorflow, spark, etc.)</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Familiarity with cloud-based data warehouses (snowflake, redshift, etc.)</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Familiarity with data streaming solutions (kafka, spark streaming, etc.</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Experience working in Cloud Security or Infrastructure Security</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Experience recruiting and mentoring other Engineers</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Cloud certifications or other demonstrable cloud domain knowledge</span></li> </ul> <p> <span style="font-weight:400;">Salary Range: $137k - $300k USD Annually + <a href="https://www.lacework.com/careers/" target="_blank">Benefits</a> + Bonus + Equity </span> </p> <p> <em> <span style="font-weight:400;">Actual compensation may vary based on factors such as geographic location, work experience, education/training and skill level.</span> </em> </p><div class="content-conclusion"> <p>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</p> </div>