About the position
Bring your backend java cloud engineering skills to work on the latest cloud software/web applications. Help us deploy and scale the next generation of cloud security utilizing big data and analytics. We are looking for a Principal Engineer to join the team that is building our latest cloud security product - Data Loss Prevention (DLP). Our DLP service is the industry's first cloud-delivered Enterprise DLP that consistently protects sensitive data across all networks, clouds and users. This fast-growing cloud service prevents data breaches by identifying sensitive data consistently throughout the entire enterprise. It also guarantees that your data security strategy adheres to compliance and data privacy regulations. This role will also give you an unrivaled opportunity to build micro services to process terabytes of data efficiently with different cloud providers. This role is located at our dynamic Santa Clara California headquarters campus and in the office 3 days a week.
Responsibilities
- Execute on the software development strategy to improve our dynamic highly distributed system
- Understand and implement software development/engineering lifecycle concepts to drive features from conception to delivery
- Collaborate closely with the product management, architects and devops to achieve quality releases
- Work hand-in-hand with customer support, documentation and downstream teams to enable customer success
- Make appropriate trade-offs to optimize time-to-release while maintaining performance and scalability requirements
- Be able to clearly communicate goals and desired outcomes to internal project teams
- Interview, mentor and coach new team members
Requirements
- BS/MS in Computer Science/Engineering with 10+ years or equivalent experience or equivalent military experience required
- Be a self-starter, able to learn independently and adapt quickly
- At least 8+ years of development experience
- Experience in developing services in the cloud/Kubernetes
- Experience with building data pipelines and analytics pipelines using like dataflow, pubsub, GKE
- Strong understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores
- Experience with RESTful interfaces and Build Management tools (Gradle, maven)
- Strong understanding of microservices-based deployments with the ability to design services
- Familiarity working with GCP or other Cloud platforms such as AWS and Azure
- Must have 5 years+ years exp with Java, python to build fault-tolerant distributed systems
- Strong believer of automation test and strive for higher code coverage
Benefits
- FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees
- Mental and financial health resources
- Personalized learning opportunities
- Restricted stock units and a bonus
