Design, implement, and maintain components and workloads responsible for provisioning and managing Kubernetes-based Aerospike clusters
Build and evolve workflows used to orchestrate long-running infrastructure and database lifecycle operations
Develop Kubernetes-native systems using controllers, operators, and CRDs
Own cloud infrastructure automation using Terraform, including VPCs, EKS clusters, IAM, storage, and networking
Design and maintain persistent storage lifecycles involving EBS volumes, local NVMe instance storage, and backups
Diagnose and resolve complex production issues spanning Kubernetes, cloud provider APIs, and distributed systems
Improve observability through metrics, logs, and alerts using Prometheus, OpenTelemetry, and Datadog
Collaborate across teams to evolve architecture, improve reliability, and prevent operational regressions

At least 5 years of relevant software engineering experience
Strong foundation in computer science, distributed systems, and debugging complex systems
Proficiency in at least one statically typed backend language (preferably Go)
Experience developing and operating distributed systems in production
Hands-on experience with Kubernetes and containerized workloads
Experience with at least one major cloud provider (AWS preferred)
Experience designing, deploying, and operating stateful systems
Familiarity with Git-based workflows and CI/CD pipelines

Senior Software Engineer, Data Plane

Key skills