Senior Software Engineer (Platform Infrastructure)

Responsibilities: Maintain and expand our global fleet of Kubernetes clusters across multiple cloud providers supporting our development pipelines and SaaS infrastructure. Develop core microservices + Kubernetes operators that secure, manage, and scale customer workloads. Integrate advanced cloud networking and storage features for large-scale decentralized networks and high-volume, big-data transaction indexing. Improve CI workflows + CLI tools automating our software lifecycle for fast, reliable delivery. Build test suites, metrics, and alerts to keep systems healthy and customers satisfied. Continuously improve architecture for performance, reliability, and efficiency - guided by customer needs, compliance controls, and costs. Prototype agentic AI systems to help us further automate our software development and operations.

Requirements: Strong communication with team members, stakeholders, and customers. Ability to identify and address key engineering and architectural decisions. Flexible approach to work, including participation in on-call rotations. Bachelor’s degree in Computer Science or related technical field. 5+ years of software engineering experience, with at least 3+ years working in cloud architecture on AWS, GCP, or Azure. Proficiency in programming languages, preferably Golang or JavaScript. Hands-on experience with Kubernetes, containers, and Linux in cloud environments. Familiarity with continuous testing and cloud-native monitoring.

Preferred qualifications: Experience creating cloud SaaS or internal PaaS solutions on Kubernetes or equivalent platforms - leveraging Infra-aa-Code tools such as Terraform, Crossplane, and GitOps. Knowledge of virtual machines, software-defined networking (eBPF), and Linux filesystems and storage (LVM). Regularly uses Go/Python/TypeScript to automate operations and develop backend services. Growing AI fluency: comfortable using prompt-driven tools like Claude, ChatGPT, Cursor, or Copilot; excited to leverage LLMs/agents for automating workflows, tasks, and operations. Built alerts and dashboards with PromQL/LogQL in Grafana, Loki, and Prometheus. Skilled with modern build tools (npm, Maven, Gradle, make, uv) and efficient multi-stage Docker builds. Diversity and Inclusion Kaleido is committed to fostering an inclusive workplace that celebrates diversity in all its forms. We value and respect individuals from varied backgrounds, cultures, and experiences and strive to create an environment where everyone feels welcome and supported. Kaleido is an equal-opportunity employer. We encourage qualified individuals of all backgrounds to apply.