Cast AI
Senior Software Engineer – Autoscaler at Cast AI
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 between.
About the role The Autoscaler team powers Cast AI’s core capability: scaling Kubernetes clusters intelligently. We design algorithms that place workloads efficiently, add and remove nodes dynamically, and consolidate underutilized resources – all to keep clusters reliable and cost-effective.
By joining the team, you’ll shape the foundation that enables other Cast AI features, directly impacting how companies run Kubernetes more efficiently at scale.
Tools we use daily
Languages: GoLang
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, optimisation, and performance‑tuning skills
Deep understanding of cloud platforms: hands‑on experience with AWS, GCP, Azure, and Kubernetes 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
Responsibilities
Optimise workload placement and cluster right‑sizing
Collect and analyse cluster data to drive scaling decisions
Continuously improve consolidation and efficiency strategies
Explore emerging cloud and hardware technologies (e.g., GPU sharing, new instance types)
Benefits
Competitive salary (€6,500‑€9,000 gross, depending on the level of experience)
Enjoy a flexible, remote‑first global environment
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
Equity options
Private health insurance
Get quick feedback with a fast‑paced workflow – most feature projects are completed in 1 to 4 weeks
Spend 10% of your work time on personal projects or self‑improvement
Learning budget for professional and personal development – access to international conferences and courses
Annual hackathon to spark new ideas and strengthen team bonds
Team‑building budget and company events to connect with colleagues
Equipment budget to ensure you have everything you need
Extra days off to maintain a healthy work‑life balance
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology
Industries Software Development
Referrals increase your chances of interviewing at Cast AI by 2x.
#J-18808-Ljbffr
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 between.
About the role The Autoscaler team powers Cast AI’s core capability: scaling Kubernetes clusters intelligently. We design algorithms that place workloads efficiently, add and remove nodes dynamically, and consolidate underutilized resources – all to keep clusters reliable and cost-effective.
By joining the team, you’ll shape the foundation that enables other Cast AI features, directly impacting how companies run Kubernetes more efficiently at scale.
Tools we use daily
Languages: GoLang
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, optimisation, and performance‑tuning skills
Deep understanding of cloud platforms: hands‑on experience with AWS, GCP, Azure, and Kubernetes 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
Responsibilities
Optimise workload placement and cluster right‑sizing
Collect and analyse cluster data to drive scaling decisions
Continuously improve consolidation and efficiency strategies
Explore emerging cloud and hardware technologies (e.g., GPU sharing, new instance types)
Benefits
Competitive salary (€6,500‑€9,000 gross, depending on the level of experience)
Enjoy a flexible, remote‑first global environment
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
Equity options
Private health insurance
Get quick feedback with a fast‑paced workflow – most feature projects are completed in 1 to 4 weeks
Spend 10% of your work time on personal projects or self‑improvement
Learning budget for professional and personal development – access to international conferences and courses
Annual hackathon to spark new ideas and strengthen team bonds
Team‑building budget and company events to connect with colleagues
Equipment budget to ensure you have everything you need
Extra days off to maintain a healthy work‑life balance
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology
Industries Software Development
Referrals increase your chances of interviewing at Cast AI by 2x.
#J-18808-Ljbffr