Senior Platform Engineer - Data Infrastructure
Core
Designing, building, and maintaining the data backbone (Kafka, ClickHouse, Aurora, MongoDB, OpenSearch, Redis) that powers Nexthink's real-time analytics and AI agent platform.
Role type
Senior Platform Engineer (Data Infrastructure)
Builds
Cloud-native data infrastructure, self-service tooling (Crossplane), and automation for provisioning and scaling data stores.
Domain
Cloud Infrastructure / Data Engineering / SRE
Deliverable
production ML models | infrastructure
Required skills
AWS multi-region, Infrastructure as Code (Terraform/OpenTofu), Kubernetes (EKS), Containers (Docker), Go, Python, Disaster Recovery planning, Observability (Datadog), Incident Management.
Preferred skills
Apache Kafka (MSK), Database operations (Aurora, ClickHouse, MongoDB), Self-service internal developer platforms (Crossplane), Search/Vector databases (OpenSearch), In-memory stores (Redis).
Technologies
AWS, Amazon MSK, ClickHouse, Amazon Aurora, MongoDB, Atlas, OpenSearch, Redis, ElastiCache, Crossplane, Terraform, OpenTofu, GitHub Actions, Flux, Datadog, Docker, Kubernetes, EKS, Flink, SageMaker.
Responsibilities
Design and improve data infrastructure following cloud-native practices; Build tooling and automation for provisioning and scaling; Integrate new data stores (search, vector, in-memory); Collaborate with product teams to shape the platform; Plan disaster recovery and cross-region replication; Monitor availability, performance, and observability; Handle incidents from detection to post-mortem.
Seniority
Senior, hands-on IC
