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Engineering Manager - Kubernetes and Infrastructure

Salary

€90k

Min Experience

0 years

Location

multiple locations, remote

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

Why Cast AI? Cast AI is the leading Application Performance Automation (APA) platform, enabling customers to cut cloud costs, improve performance, and boost productivity – automatically. Built originally for Kubernetes, Cast AI goes beyond cost and observability by delivering real-time, autonomous optimization across any cloud environment. The platform continuously analyzes workloads, rightsizes resources, and rebalances clusters without manual intervention, ensuring applications run faster, more reliably, and more efficiently. Headquartered in Miami, Florida, Cast AI has employees in more than 32 countries worldwide and supports some of the world's most innovative teams running their applications on all major cloud, hybrid, and on-premises environments. Over 2,100 companies already rely on Cast - from BMW and Akamai to Hugging Face and NielsenIQ. What's next? Backed by our $108M Series C, we're doubling down on making APA the new standard for DevOps and MLOps, and everything in betwe 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 looking for a hands-on Engineering Manager to join our Engineering team This is a hybrid role—part leadership, part deep technical contribution. You'll manage one or more engineering teams depending on your experience and interests. These teams work across foundational cloud-native domains: Kubernetes internals, infrastructure orchestration, workload scheduling, secure on-prem deployment, and developer tooling. You'll help shape technical direction, support your team's growth, and stay close to the code. Expect to spend at least half your time involved in technical work—be it design, review, prototyping, or implementation. Responsibilities as an Engineering Manager: Lead, mentor, and grow high-performing engineering teams Drive team execution by aligning delivery with business and product goals Partner with Product Owners and Tech Leads to shape scope and roadmap Ensure robustness, scalability, and security in all deliverables Foster a culture of learning, ownership, and technical excellence Actively contribute to hiring, onboarding, and team-building efforts Be a role model and champion of CAST AI's values and engineering culture Responsibilities as a Software Engineer: Contribute to architecture and hands-on development in one or more areas: Kubernetes controllers, operators, and scheduling logic Infrastructure-as-Code tooling, especially Terraform CI/CD pipelines and secure release automation Multi-cloud orchestration across AWS, GCP, Azure Secure or air-gapped deployments for enterprise environments Write clean, maintainable, and testable code in Golang Debug complex distributed systems (networking, containers, OS-level) Collaborate with cross-functional teams and support customer onboarding Take part in production support and incident response processes Requirements: Proven experience leading technical teams in a fast-paced environment Strong backend engineering background, ideally in Go Solid understanding of Kubernetes internals or cloud-native infrastructure Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure) Deep familiarity with infrastructure automation tools (especially Terraform) Knowledge of CI/CD systems (GitLab, GitHub) and release engineering best practices Clear communicator with strong written and verbal English skills Collaborative and action-oriented leadership style Nice to Have: Familiarity with secure or air-gapped deployment environments Contributions to Kubernetes or CNCF open-source projects Experience leading cross-functional efforts with customer-facing impact

About the company

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. CAST AI has around 200 employees globally and is headquartered in Miami, Florida.

Skills

go
kubernetes
terraform
ci/cd
cloud