Fortinet Staff Software Development Engineer 

United States, California, Sunnyvale 

123860645

We are looking for a software engineer in the Explorer team to accelerate one of Fortinet-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 while 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.

• Develop an in-depth understanding of the Fortinet-Lacework platform and customer value proposition
• Drive projects/technical initiatives related to providing risk insights based on data correlation.
• Influence and define delivery timelines in alignment with our field and product teams while balancing speed, accuracy and precision
• Build instrumentation, observability, and analytics into the 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).
• Work cross-functionally with other Engineering, Product Management, Support, Sales teams as well as Customers
• Demonstrate good communication skills and present work to company leadership and at company-wide events
• Actively participate in recruiting and mentor new members of the team
• Strive to use readily available, general and scalable methodologies and tools; stay current with latest tools and techniquesMinimum Qualifications:
• Degree in quantitative field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research or other related field)
• 5+ years of experience with SaaS development and deployment using modern cloud platforms.
• Strong 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)
• Ability to deal with ambiguity, driving design and implementation to conclusion with limited supervisionPreferred Qualifications
• Advanced degree (Master’s or PhD or equivalent experience) in quantitative field
• Familiarity with cloud-based data warehouses (Snowflake, Redshift, etc)
• Experience handling large scale of data including processing, querying and optimizing for performance, cost and efficiency
• Experience working in Cloud Security or Infrastructure Security
• Cloud certifications or other demonstrable cloud domain knowledge.

Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location.