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 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.
Requirements :
BS, Master's, or PhD in computer science or related, or equivalent experience.
2 - 6 years of professional experience in backend development.
Experience in cybersecurity or the SaaS industry, especially with Access, Identity, and Governance, would be a plus.
Proficiency in one or more of the following languages : Golang, Java, Python, Node.js . 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 the 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.