Middle DevOps Engineer
Summary
Spendbase is hiring a Middle DevOps Engineer to build, maintain, and scale the cloud infrastructure behind its LLM API product — an open-source AI inference platform. Day-to-day work spans AWS, Kubernetes, Helm, Docker, CI/CD pipelines, ClickHouse data infrastructure, and incident troubleshooting for high-load systems.
Spendbase is a global fintech company with a startup mindset, helping businesses optimize their spending on SaaS, cloud services, and corporate cards.
We’re currently growing our LLM API product and are looking for a Middle DevOps Engineer to join the team and help build, maintain, and scale the infrastructure behind it.
LLM API is a standalone, open-source AI infrastructure product that provides a unified API for companies building AI features in production. Instead of integrating directly with multiple LLM providers, teams can use one stable platform to ensure reliability, cost control, and flexibility at scale.
If you enjoy working with high-load systems, cloud infrastructure, Kubernetes, and automation, and want to help build infrastructure for a fast-growing AI product - this role might be for you!
What you'll do
Build, maintain, and improve the cloud infrastructure behind LLM API
Manage and optimize Kubernetes clusters and containerized applications
Work with AWS services and ensure infrastructure scalability, reliability, and security
Create, maintain, and manage Helm charts
Support and improve CI/CD pipelines and deployment processes
Monitor system performance, troubleshoot incidents, and improve overall infrastructure stability
Work closely with development teams to improve application performance and reliability
Participate in designing infrastructure for high-load and scalable systems
Automate repetitive infrastructure and operational tasks
Work with databases and data infrastructure, including ClickHouse where needed
What we're looking for
3+ years of experience as a DevOps Engineer or in a similar role
Strong experience with AWS
Hands-on experience with Kubernetes
Good knowledge and practical experience with Helm and Helm charts
Experience working with high-load and highly scalable systems
Experience with CI/CD tools and infrastructure automation
Strong understanding of Docker and containerization
Experience with monitoring and logging tools
Understanding of networking, security, and cloud infrastructure best practices
Strong problem-solving skills and ability to work independently
Nice to have
Experience with ClickHouse
Experience working with distributed systems
Experience with Infrastructure as Code tools such as Terraform
Experience working with AI, ML, or developer infrastructure products
Experience in a fast-growing startup or product company
What we offer
Competitive salary
Opportunity to grow with a fast-scaling AI product
Ownership-driven, fast-paced environment
Paid vacation, holidays, and sick leave
Online medical consultation services
Join the growth!