Engineering Manager Caching and Databases R&D 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. 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 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 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

We are looking for a hands-on 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

Requirements

• Proven experience in managing and leading technical team
• Strong software engineering skills
• Strong verbal and written communication skills
• Strong knowledge in following databases (list is sorted by importance): postgres, mysql, mongo, bigQuery, clickhouse
• Strong programming skills in Go and/or C+
• Experience working with and developing performant and robust caching would be an advantage
• Strong written and verbal communication skills in English.

What's in it 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 self-improvement or personal projects
• Monthly salary up to 9000 € depending on the level of experience.