Junior Backend Software Engineer

• Design, prioritize, and build infrastructure and services to support end to end experiences. Deployment target is currently AWS, though we may expand to additional public clouds in the future.
• Data is our life - much of our stack is related to data import, transport, cleaning, storage, analysis, and learning. This is not however typical ETL - our bread and butter is sophisticated security analysis on user behavior, and are data sets are petabyte vs terabyte scale, so multi-layer distributed systems able to drive real-time analysis and alerting are the norm.
• Work with our team to create, design and implement a world-class development lifecycle, architecture, and toolset, from initial concept through DevSecOps delivery
• Define service architecture and APIs to implement the above
• Understand and participate in tradeoff discussions, but have the courage to stand behind principles and values that you believe cannot be compromised on.

Skills Required:

• 3+ years of professional experience in backend development
• Experience in cybersecurity or SaaS industry, especially with Access, Identity and Governance would be a plus
• Proficiency in one or more of the following languages: Golang, Java, .Net, JavaScript with understanding of technical and community pros, cons, and tradeoffs
• Strong understanding of RESTful API design principles
• Strong understanding of industry best practices across entire lifecycle from idea to design to development, as well as test, deployment, operations, monitoring, and incident management
• Have shipped and operated high-scale commercial SaaS products, with all that entails
• Understanding of core networking, data transport and persistence systems and methods at scale, particularly noSQL
• Broad direct experience with at least one public cloud platform - AWS preferred, Azure, GCP, and modern deployment tooling (CI/CD, containers, Terraform, etc.)
• Deep understanding of performance, privacy, scalability, HA/DR, instrumentation, logging & alerting, and other requirements of industry best practice enterprise scale products and services
• Understanding of industry best practice security and privacy and data governance requirements and practices
• Familiar with secure development practices, from coding to artifact generation to deployment
• Ability to work and thrive in a fast-moving world with ambiguity and potential change as daily companions

Bonus Qualifications:

• BS, Masters, or PhD in computer science or related, or equivalent experience
• Experience or strong interest in ML/AI and what it takes to deliver in end products
• Building and operating large-scale distributed systems, with live HA/DR
• Familiar with multiple identity and access management systems
• Fully automated CI/CD pipelines, with IaC (Infrastructure as Code) methodologies - Terraform/Helm, Pulumi, etc.
• Experience building, deploying, and/or operating highly secure deployments, e.g. SOC 2, FedRAMP compliance