Cast AI
Senior Software Engineer – Cast AI
Join us as a
Senior Software Engineer
at
Cast AI , a leader in Application Performance Automation (APA) that helps customers cut cloud costs, improve performance, and boost productivity automatically.
Why Cast AI? Founded to go beyond cost and observability, our platform delivers real‑time, autonomous optimization across all cloud environments. Built on Kubernetes, we continuously analyze workloads, rightsize resources, and rebalance clusters without manual intervention, ensuring faster, more reliable, and cost‑efficient applications. Headquartered in Miami and operating in 32+ countries, we serve over 2,100 companies, including BMW, Akamai, Hugging Face, and NielsenIQ.
Roles & Responsibilities
Reporting
– Build a scalable reporting system that ingests millions of rows per second into time‑series databases, providing insights into cost savings, workload efficiencies, and Cast AI automation impact.
Pricing
– Drive synchronization of public and customer cloud resources, availability, and dynamic pricing across major cloud providers. Enable autoscaling through discounts, commitments, and cross‑cluster tracking to maximize savings.
Autoscaler
– Automate Kubernetes node autoscaling to optimize clusters, balance workloads, remove under‑utilized nodes, and dynamically allocate capacity in real‑time, cutting cluster costs by half.
Workload Optimization (WOOP)
– Dynamically adjust resource allocations to help developers reduce costs and improve application reliability.
AI Enabler
– Deploy and manage LLMs in Kubernetes clusters, optimize workloads, and provide cost visibility and intelligent routing for LLM requests to the most cost‑effective compute resources.
APA
– Build an intelligent agentic system that detects performance issues and proactively resolves them through automation, scaling, security, and recovery.
Sec Posture
– Secure Kubernetes clusters by surfacing threats and ingesting millions of data points from vulnerability advisories, image scans, and runtime behavior.
Wire
– Develop core platform services—authorization, notifications, audit logs, and feature flags—to enable secure and effective use of Cast AI, delivering enterprise‑grade capabilities such as SSO, granular permissions, and billing.
Tools We Use Daily
Languages: GoLang (primary), Python (secondary)
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 mandatory).
Expertise in debugging, optimization, and performance‑tuning.
Hands‑on experience with cloud platforms (AWS, GCP, Azure) and Kubernetes.
Experience with CI/CD and DevOps practices.
Excellent English (verbal and written).
Ability to work independently and collaboratively within a team.
Startup mindset: adaptable, proactive, comfortable with ambiguity.
A problem‑solving mindset with a “yes we can” attitude.
What’s in it for you?
Competitive salary (€6,500 – €9,000 gross, dependent on experience)
Flexible, remote‑first global environment.
Collaborate with a globally distributed team of cloud experts and innovators.
Equity options.
Private health insurance.
Fast‑paced workflow – most feature projects are completed in 1 to 4 weeks.
10% of work time allocated to personal projects or self‑improvement.
Learning budget for professional and personal development, including conferences and courses.
Annual hackathon to spark new ideas and strengthen team bonds.
Team‑building budget and company events.
Equipment budget.
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 2×.
#J-18808-Ljbffr
Senior Software Engineer
at
Cast AI , a leader in Application Performance Automation (APA) that helps customers cut cloud costs, improve performance, and boost productivity automatically.
Why Cast AI? Founded to go beyond cost and observability, our platform delivers real‑time, autonomous optimization across all cloud environments. Built on Kubernetes, we continuously analyze workloads, rightsize resources, and rebalance clusters without manual intervention, ensuring faster, more reliable, and cost‑efficient applications. Headquartered in Miami and operating in 32+ countries, we serve over 2,100 companies, including BMW, Akamai, Hugging Face, and NielsenIQ.
Roles & Responsibilities
Reporting
– Build a scalable reporting system that ingests millions of rows per second into time‑series databases, providing insights into cost savings, workload efficiencies, and Cast AI automation impact.
Pricing
– Drive synchronization of public and customer cloud resources, availability, and dynamic pricing across major cloud providers. Enable autoscaling through discounts, commitments, and cross‑cluster tracking to maximize savings.
Autoscaler
– Automate Kubernetes node autoscaling to optimize clusters, balance workloads, remove under‑utilized nodes, and dynamically allocate capacity in real‑time, cutting cluster costs by half.
Workload Optimization (WOOP)
– Dynamically adjust resource allocations to help developers reduce costs and improve application reliability.
AI Enabler
– Deploy and manage LLMs in Kubernetes clusters, optimize workloads, and provide cost visibility and intelligent routing for LLM requests to the most cost‑effective compute resources.
APA
– Build an intelligent agentic system that detects performance issues and proactively resolves them through automation, scaling, security, and recovery.
Sec Posture
– Secure Kubernetes clusters by surfacing threats and ingesting millions of data points from vulnerability advisories, image scans, and runtime behavior.
Wire
– Develop core platform services—authorization, notifications, audit logs, and feature flags—to enable secure and effective use of Cast AI, delivering enterprise‑grade capabilities such as SSO, granular permissions, and billing.
Tools We Use Daily
Languages: GoLang (primary), Python (secondary)
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 mandatory).
Expertise in debugging, optimization, and performance‑tuning.
Hands‑on experience with cloud platforms (AWS, GCP, Azure) and Kubernetes.
Experience with CI/CD and DevOps practices.
Excellent English (verbal and written).
Ability to work independently and collaboratively within a team.
Startup mindset: adaptable, proactive, comfortable with ambiguity.
A problem‑solving mindset with a “yes we can” attitude.
What’s in it for you?
Competitive salary (€6,500 – €9,000 gross, dependent on experience)
Flexible, remote‑first global environment.
Collaborate with a globally distributed team of cloud experts and innovators.
Equity options.
Private health insurance.
Fast‑paced workflow – most feature projects are completed in 1 to 4 weeks.
10% of work time allocated to personal projects or self‑improvement.
Learning budget for professional and personal development, including conferences and courses.
Annual hackathon to spark new ideas and strengthen team bonds.
Team‑building budget and company events.
Equipment budget.
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 2×.
#J-18808-Ljbffr