Engineering Manager KUBE Team

Why CAST AI

CAST AI is the leading Kubernetes cost optimization 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 more than 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.CAST AI is rapidly expanding and we are looking for software engineering leaders to join our team.

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 KUBE Team do

The KUBE Team serves as the bedrock upon which our cost optimization product suite rests. Customers initiate their experience with cost optimization product through the infrastructure and solutions constructed by this team. Additionally the CAST AI Optimization Engine leverages these foundational elements to realize significant AAA savings for our clients. To give you a glimpse into the complexities we navigate: weve successfully engineered ways to integrate independent Kubernetes nodes into existing thirdparty clusters like EKS GKE and AKS. Given the absence of official documentation this required a good deal of reverse engineering and yielded invaluable insights. We have authored our own Terraform provider.We developed a highly parallelized engine capable of managing and reconciling the diverse clusters of our numerous customers. Weve implemented a unified API that abstracts away the differing implementations across various cloud providers. Were SME of lower level infrastructure (operating systems cloud networking storage and virtualization) 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.

Role overview

We are looking for a handson Engineering Manager to join our Product team. It is a hybrid role and you will be responsible for managing a team and spending at least half of your time on the product code.

Responsibilities as a Engineering Manager:

You will be responsible for the product development execution.

• Lead mentor and grow a team of talented software engineers
• Collaborate closely with the Product Owner and stakeholders to align on product requirements and roadmaps
• Ensure quality scalability and resilience in all deliverables
• Foster a culture of continuous improvement innovation and technical excellence
• Be the role model and champion of CAST AI core values.

Responsibilities as a Software Engineer:

You will be working in a highly skilled team and collaborating in a full development lifecycle.

• Scaling challenges
• Participate in feature brainstorming requirement gathering and solving customer needs
• Design and architecture software leveraging your experience to ensure scalability maintainability and performance
• Write clean maintainable and documented code using best practices and coding standards
• Ensure software reliability through test coverage and local testing
• Contribute to maintaining CI/CD pipelines monitoring and alerting stack
• Respond to incidents to resolve customer issues or service disruptions
• Support teams code (oncall week every few months)nd local testing.

Requirements

• Proven experience in managing and leading technical team
• Strong software engineering skills
• Strong verbal and written communication skills
• Indepth knowledge of Kubernetes and experience with managing multicloud environments (AWS GCP Azure).
• Knowledge of cloudnative infrastructure APIs and cloud providerspecific implementation differences.
• Handson experience with IaC tools such as Terraform to manage and automate infrastructure.
• Proficient in designing and managing CI/CD pipelines (using GitLab CI ArgoCD) with a GitOps approach.
• Strong analytical problemsolving and troubleshooting skills

Whats init for you

• Team of highly skilled professionals to work with and learn from
• Impact and visibility. Our organization is flat getting in touch with CEO or CTO is a common practice here
• Very technically challenging domain with unique problems
• 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
• Flexible working hours. We deliver instead of sitting in the office 8 to 5
• Skin in the game. Every employee gets a share of the company
• Time to focus on work with a minimum overhead of meetings bureaucracy etc.
• 10% time to focus on selfimprovement or personal projects
• Monthly salary up to 9000 depending on the level of experience.