Description:
Responsibilities includes however not limited to
- Candidate will be involved in planning and design of Azure and AWS Services and new features and technologies
- Designing and building Kubernetes services, load balancing, networking and security
- Working with Argo Workflows
- Utilizing Terraform and Ansible to build Infrastructure as Code software
- Working with Data Scientists team for infrastructure tunning
- Writing SOPs to help spread knowledge and load between team members
Preferred
Qualifications
The successful candidate will have the following profile/experience
- Bachelors or Master’s degree in Computer Science or equivalent.
- 5-10+ years’ experience in Software and Data Engineering, preferably in SaaS environments
- 3+ years Kubernetes production experience
- Deep understanding of Kubernetes services, load balancing, networking and security
- Good experience with Azure and Amazon AWS
- Experience with Argo Workflows
- Experience with Terraform and Ansible to build Infrastructure as Code software
- Experience with monitoring Kubernetes Clusters
- Experience deploying and managing stateful applications and storage in Kubernetes
- Experience operationalizing AI/ML good to have.
- Excellent knowledge of public and private cloud technologies
- Solid hands-on software development experience in big data environments, utilizing Go and/or Python preferred
- Experience with microservice architectures
- Excellent knowledge of Linux.
- Demonstrated ability to learn new technologies quickly and independently.
- Experience working on agile projects and understanding of agile concepts
- Ability to work and achieve stretch goals in a very innovative and fast paced environment.
- Excellent English verbal and written communication skills, especially in technical communications
- Strong inter-personal skills and a desire to work collaboratively.