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. What’s 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 self-reliant 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 long-term 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.

Role overview

CAST AI is seeking a skilled senior software engineer with deep expertise in databases. It's more about understanding database underlying technology than just knowing how to use it. 

Knowing the implementation details on transactions, wire protocol, WAL, indexes and many other fundamental database features enables us to build a product around it. The candidate will be able to work on a greenfield project with a high impact on the outcome.

Requirements

• Strong knowledge in following databases (list is sorted by importance): PostgreSQL, MySQL, MongoDB, ClickHouse
• Strong programming skills in Go and/or C+
• Strong problem-solving skills and the ability to troubleshoot complex issues in a production environment
• Experience operating ClickHouse
• Experience working with and developing performant and robust caching would be an advantage
• Strong written and verbal communication skills in English

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

• Mostly Golang with C++ in most critical data pathways
• ClickHouse and PostgreSQL for business metrics
• GRPC and REST APIs
• GitLab CI with ArgoCD as our GitOps CD engine
• Prometheus, Grafana, Loki, and Tempo for observability
• Deployment charts are written in Helm.

Experience with everything mentioned is not a strict prerequisite for the ideal candidate, but it does offer a competitive edge.

What's in it for you?

• Join a fast-growing, cutting-edge company that’s redefining cloud-native automation and optimization.
• Work with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Enjoy a flexible, remote-first 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 self-improvement or personal projects.
• Monthly salary from 6,000 to 8,000 EUR (gross) depending on the level of experience.