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