Please submit your resume in English.
We are looking for a passionate and curious engineer to join our research and development team. You will build innovative cybersecurity products alongside other engineers in a fast-paced, agile development environment. Join us and build an exceptional experience for yourself, and a better working world for all.
Responsibilities:
Develop Knowbe4's API platform which involves building out extensible and scalable services on which customers/vendors can consume our APIs.
Engage with partners and internal engineering teams to understand requirements, develop functional specifications, build and deploy to production.
Work on complex engineering problems and propose solutions.
Develop software using the KnowBe4 Agile Methodologies.
Requirements:
3+ years experience as full stack engineer for enterprise-grade cloud based SaaS products.
Experience building and integrating REST-based APIs with best practices of authentication & authorization in enterprise-grade production environments.
Expert knowledge in at least one of the following technologies: Python Django/Flask/FastAPI or equivalent.
Experience working with frontend technologies like React/Svelte/Angular/Vue or equivalent.
Working knowledge in relational databases such as MySQL/Postgres and expertise in SQL.
Demonstrable knowledge of fundamental cloud concepts around multi-tenancy, scaling out, serverless , authentication & authorization.
Experience with continuous delivery and integration pipelines: Docker/Automated deployment and testing.
Exposure in setting up and managing continuous delivery and integration pipelines using tools like Docker, GitLab, Terraform, and other automated deployment and testing tools. Willingness to gain expertise in these skills is expected.
Working experience on developing clean, unit tested and secure code.
Should be open to learn new technologies & programming languages as and when needed.
Understanding and experience in building software systems following Object Oriented Software design principles.
Working knowledge in pandas, numpy or equivalent data science/analysis libraries.
Strong understanding of data structures and algorithms.
Nice to Have:
Knowledge of NoSQL databases such as DynamoDB, Elasticsearch is preferred.
Experience in AWS backend technologies like EC2, S3, Lambda, Eventbridge, SNS, SQS etc.
Experience working in the cybersecurity industry or related fields.
Experience in building scalable data processing pipelines would be a valuable asset.
Familiarity with big data technologies such as Spark, Hive and Delta Tables is a plus.