Careers
Mid - Senior
Full Stack Developer
Our philosophy is simple...
We are looking for people we imagine building an empire with, making great products together.
We value teamwork & responsibility above all and consider every single member of Vanti to be a perfect mix of professional ability and leader.
Our Stack: React, Node.js, MongoDB, K8s, AWS, terraform, Spark, AirFlow
You will:
- Design to production of complex modules & features in customer-facing products
- Develop large scale, real-time data pipelines
- Research new technologies and solution for the next-gen of products
- Be the complete owner of your work
- Create and maintain our infrastructure
- Influence our design, architecture, and methodologies
- Deploy and maintain development and production infrastructure hosted in AWS
- Drive automation at all stages of software development, release, operations, and maintenance
- Research new technologies to help solve automation challenges
- Set up monitoring tools and frameworks. Create meaningful and accurate monitors and alerts
- Support the development teams with issues and problems in the configuration, integration, deployment, and monitoring systems
- Handle emergencies related to Infrastructure. Analyze problems after they occur and prevent reoccurrence
Who you are:
- someone who gets things done!
- someone great at figuring stuff out
- someone people like to work with
Must have:
- At least 5 years of experience in developing infrastructure and/or product core
- Comprehensive expertise in cloud deployment
- CI\CD
- Expertise in database environments
- Python & SQL ninja
- 4+ years working in a large production environment with many types of services, databases, and components
- Extensive proven experience with Linux and advanced bash scripting capabilities
- Experience with running production workloads on the AWS platform
- Experience with monitoring tools and data / logs analytics tools
- Experience with docker and orchestration tools, preferably ECS/EKS
WOW:
- Hands-on experience in big data pipelines (Spark / Hadoop / Elastic)
- Experience with Data Science techniques
- Experience or contribution to high-profile open-source projects.
- A public repo with past work