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.
To date, the company has raised $73M from investors including Cota Capital, Creandum, Uncorrelated Ventures, and Vintage Investment Partners. Cast AI has over 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
These are the 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.
We are hiring across multiple teams!
Position: Senior Software Engineer
As a Senior Software Engineer, you will have the opportunity to work on different key features of our product. We are currently hiring Senior Software Engineers for the following teams:
- Reporting: Builds a scalable reporting system that ingests millions of rows per second into our time-series databases, providing insights into cost savings, workload efficiencies, and Cast AI automation impact.
- Pricing: Drives the synchronization of public and customer cloud resources, availability, and dynamic pricing across all major cloud providers. Empowers autoscaling by leveraging discounts, commitments, and cross-cluster tracking to maximize savings. Provides a reliable source of truth for node pricing, resources, components, discounts, and commitments.
- Autoscaler: Automates Kubernetes node autoscaling to optimize clusters, balance workloads, remove underutilized nodes, and dynamically allocate capacity in real-time, thereby reducing cluster costs by half.
- Workload Optimization (WOOP): Automates workload resource management by dynamically adjusting resource allocations, helping developers significantly reduce costs and improve application reliability.
- AI Enabler: Helps customers deploying and managing LLMs in their Kubernetes cluster and optimizes their workloads by providing cost visibility and intelligent routing for LLM requests to the most cost-effective compute resources (e.g. Grok, self-hosted LLAMA models).
Here are some of the tools we use daily:
- Languages: GoLang (primary), Python (secondary for some cases)
- Cloud & Orchestration: Kubernetes, AWS, GCP, Azure
- Databases & Storage: PostgreSQL, Cloud Object Storage
- Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs
- Observability: Prometheus, Grafana, Loki, Tempo
- CI/CD & GitOps: GitLab CI with ArgoCD.
Requirements:
- Strong software engineering skills with experience in distributed systems and backend development (ideally GoLang, but not a hard requirement as long as you're willing to transition to it)
- Strong debugging, optimization, and performance-tuning skills
- Deep understanding of cloud platforms: hands-on experience with cloud platforms like AWS, Google Cloud Platform (GCP), Microsoft Azure, and tools such as Kubernetes for containerization and orchestration
- CI/CD and DevOps practices experience
- Strong English skills, both verbal and written
- Ability to work independently and collaboratively within a team
- Startup mindset: adaptable, proactive, and comfortable with ambiguity
- A proactive, problem-solving mindset with a 'yes we can' attitude.
What's in it for you?
- Competitive salary (6,500 - 9,000 gross, depending on the level of experience) with equity options
- Direct impact on the product in a cutting-edge company that's reshaping cloud automation and optimization
- Collaborate with a global team of top cloud experts and innovators passionate about pushing the boundaries of Kubernetes technology
- Fast development cycles with a short feedback loop and direct customer impact
- Transparent work environment
- Focus time with minimal meetings and bureaucracy
- 10% of your time dedicated to self-improvement and personal projects.