Senior Software Engineer - OMNI Team

Why CAST AI

CAST AI is the leading Kubernetes automation platform for AWS GCP and Azure customers. The company is on a mission to deliver a fully automated Kubernetes experience. Whats unique about CAST AI is that its platform goes beyond monitoring clusters and making recommendations; it utilizes advanced machine learning algorithms to analyze and automatically optimize clusters saving customers 50 or more on their cloud spend improving performance and reliability and boosting DevOps and engineering productivity.

The company has raised $73M from investors including Cota Capital Creandum Uncorrelated Ventures and Vintage Investment Partners. CAST AI has nearly 200 employees globally and is headquartered in Miami Florida.

However this is merely the beginning. Our product roadmap is filled with exciting innovations that are yet to come. We are searching for intelligent motivated and selfreliant people to help us fulfill this ambitious mission.

Core values that hold us all together:

PRACTICE CUSTOMER OBSESSION. Focus on the customer journey and work backwards. Strive to deliver customer value and continuously solve customer problems. Listen to customer feedback act and iterate to improve customer experience.

LEAD. Take ownership and lead through action. Think and act on behalf of the entire company to build longterm value across team boundaries.

DEVELOP AND HIRE THE BEST. Strive to raise the performance bar by continuously investing in yourself the team and by hiring the best possible candidates for every position. Drive towards personal development and professional growth and mentor others to raise the collective bar.

EXPECT AND ADVOCATE CHANGE. Strive to innovate and accept the inevitable change that comes with innovation. Constantly welcome new ideas and opinions. Share insights responsibly with unwavering openness honesty and respect. Once a path is chosen be ready to disagree and commit to a direction.

What does the Omni Team do

The Omni Teams goal it to solve the multicluster multicloud Kubernetes challenge! Building on top of concepts from cluster federation it tries to shift the paradigm in Kubernetes usage patterns and how it is being used when many clouds are involved. And while doing this to enable CAST AI customers to realize significant AAA savings for our customers.

To give you a glimpse into the complexities we navigate:

• Weve successfully proven that you can do more with Kubernetes compute resources in the ways people didnt think was possible.
• We are building on top of giants by leveraging OpenSource technologies like wireguard and controllerruntime.
• We write custom Kubernetes operators to orchestrate every component related to multicluster operations in the clusters.
• Manage OpenSource project usage by maintaining stability security flexibility and independence.
• We strive for minimal APIs and user experience with the goal to make multicloud not only a buzzword but reality.
• Were breaking new grounds of networking Kubernetes operators and cloud provisioning at CAST AI.

The above examples merely scratch the surface of what weve achieved. Consider that these efforts are magnified by the range of cloud providers we support and each one presents its own unique challenges. Each development sprint uncovers new hurdles and learning opportunities. We consider ourselves fortunate to operate in a cutting edge technological landscape.

Here are some of the technologies we use in the stack:

• GoLang is our language.
• Kubernetes is our core product.
• AWS GCP and Azure are the clouds we operate.
• Postgres and cloud object storage for persistence.
• Temporal for our scheduling needs and executor.
• VirtualKubelet and ControllerRuntime for our operators stack.
• Terraform for IaC.
• GCP PubSub for messaging.
• GRPC and REST APIs.
• We use GitLab CI with ArgoCD as our GitOps CD engine.
• Prometheus Grafana Loki and Tempo for observability.
• Deployment charts are written in Helm.

Having experience with these tools is not a strict prerequisite for the ideal candidate but it does offer a competitive edge.

Requirements:

• You have to be physically in any of the European countries GMT 0 to GMT 3
• Strong software engineering skills
• Strong English skills
• Strong verbal and written communications skills
• Ability to work independently or with a group
• A yes we can attitude

Whats init for you

• Join a fastgrowing cuttingedge company thats redefining cloudnative automation and optimization.
• Work with a global team of cloud experts and innovators passionate about pushing the boundaries of Kubernetes technology.
• Enjoy a flexible remotefirst work environment with opportunities to travel and engage with customers worldwide.
• Competitive compensation package equity options and extensive benefits.
• Short feedback loop. We have an obsession with customer satisfaction. The ship features fast and gets instant feedback. Feature projects tend to be completed in 1 to 4 weeks depending on the scope.

• 10 time to focus on selfimprovement or personal projects.
• Monthly salary from 6500 to 9000 (gross) depending on the level of experience.