DevOps Engineer

We are on a mission to harness the collective intelligence of humanity to solve the world's most impactful problems. We created an AI-powered problem-solving engine capable of coming up with creative ideas, hypotheses and solutions for a broad range of problem domains and industries, thus enabling social and business impact – worldwide.

SparkBeyond has a broad customer base including multiple Fortune 2000 companies, with 300+ use cases delivered across 15+ sectors, and partnerships with major companies such as McKinsey, Microsoft, and Equinor.

About the team

Our team serves the organization by planning, designing, and managing its cloud platforms. The platforms are composed of subsets of tools and frameworks that are chosen/developed for the purpose of being leveraged by other software engineers and IT professionals in the organization, allowing them to deploy and operate software in multiple environments in a safe, efficient, and reliable way.

What are we looking for in candidates?

We are looking for a team player that

• Eager to teach and learn
• Aiming to build the best platform according to our organization's needs
• Love to get his hands dirty in different subjects:
• Pipeline engineering
• Cloud Infrastructure engineering (Mainly AWS & Azure)
• Cloud-Native (Kubernetes) & Containers
• Databases
• Optimizations for scale & load
• Software engineering
• Software Development Lifecycle (SDLC)
• Monitoring
• Love new technologies

What will you need?

• Must have:
• +4 years hands-on experience as a Software engineer working with DevOps methodologies & tools, managing pipelines & automation
• +3 years hands-on experience working with cloud technologies (AWS/Azure/GCP or other)
• Day to day experience with Linux terminal/ mac
• Fluent in Kubernetes
• Fluent in Python

Advantages:

• Terraform
• Go
• Data Science / ML Ops experience
• Familiarity with any of:
• Docker
• Jenkins
• Skaffold
• Helm
• Kustomize
• Argo Workflows & CD