Remote Platform Engineer Jobs in New Zealand
35 Platform Engineer jobs in New Zealand available for remote work from home. Apply for positions such as Platform Engineer , Data Platform Engineer, CCloud Platform Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design, deploy, and operate production Kubernetes clusters across cloud and on-premises environments to support critical health data systems. Implement GitOps-driven delivery, observability frameworks, and SRE practices to ensure high reliability and scalability.
Design, deploy, and operate scalable data platforms using cloud-native technologies and automation. Collaborate with cross-functional teams to ensure system resilience, performance, and cost efficiency through SRE and DevOps practices.
Build and operate cloud infrastructure and reusable deployment and observability patterns for AI solutions, data pipelines, APIs, and agents, primarily on Azure with some AWS. Automate provisioning and operations, support cloud architecture decisions, enforce security and resilience standards, and help international IT teams onboard, troubleshoot, and scale environments.
Assist with maintaining cloud infrastructure, infrastructure-as-code, CI/CD pipelines, monitoring, security controls, and disaster recovery, while responding to support issues and participating in the Tier 2 on-call rotation. Collaborate with development, operations, and security teams, document procedures, contribute to incident analysis and runbooks, and support platform improvements and smaller projects.
The Staff Platform Engineer will lead the design, evolution, and adoption of the internal platform ecosystem while defining engineering standards. They will architect scalable cloud-native infrastructure, manage complex networking, and enable product teams through a world-class Internal Developer Platform.
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You will design and implement scalable platform infrastructure, including container-orchestrated runtimes and automated delivery pipelines. Additionally, you will provide technical leadership by driving platform standards and ensuring security and compliance across all product teams.
Design and operate scalable, multi-tenant infrastructure platforms using GitOps and infrastructure-as-code practices. Implement robust security, compliance, and observability standards across cloud environments to support high-performance engineering teams.
You will design, build, and operate robust, automated systems to manage multi-region compute workloads and project provisioning. Additionally, you will maintain the Supabase Cloud platform, improve observability, and participate in on-call rotations to ensure high availability.
Design and implement distributed services and APIs to power the Supabase platform while improving system scalability and reliability. Collaborate with product teams to deliver features end-to-end and manage service SLIs/SLOs.
Design and implement cloud governance, identity management, and Infrastructure as Code standards across AWS and GCP. Build self-service capabilities and reusable security primitives to empower engineering teams to operate infrastructure safely and independently.
Support and optimize GCP data pipelines and workflows across batch and streaming environments. Collaborate with data engineering and application teams to troubleshoot performance issues and ensure system reliability.
You will own and operate Buildkite's AWS and multi-cluster Kubernetes platform, designing self-service automation and resilient infrastructure. You will also partner with product teams to diagnose distributed-system issues and improve deployment safety and observability.
Operate and improve the Fleet-based MDM environment, including software packaging, deployment, lifecycle management, and security and compliance policies. Integrate Apple enterprise technologies such as Santa and Platform SSO, automate operational processes, and support the introduction of new Apple platform features.
Design, deploy, and maintain secure, highly available Kafka clusters within an AWS environment. Collaborate with development teams to implement best practices for microservices and streaming data pipelines.
Design, build, and operate the AI storage layer for large-scale GPU infrastructure across edge and core deployments. Optimize storage throughput and latency for distributed inference, fine-tuning, and training workloads.
You will design, build, and operate the global edge router platform to ensure reliable, low-latency traffic distribution. Additionally, you will implement advanced observability and CI/CD systems while collaborating cross-functionally to integrate networking solutions into the Supabase stack.
You will own product components from design through implementation and production, ensuring they function reliably within customer-managed Kubernetes clusters. Additionally, you will build observability tools and collaborate with technical leads to improve platform performance and security.
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You will champion developer experience by building and maintaining the federated GraphQL gateway, gRPC services, and authentication systems. Additionally, you will measure platform performance, mentor peers, and collaborate across teams to ensure system scalability and reliability.
Architect, implement, and manage enterprise-wide Akamai CDN solutions while leading the migration of digital assets. Collaborate with cross-functional teams to optimize performance, security, and observability using tools like Dynatrace and automation scripts.
The role involves engineering and managing API gateways and platforms. It focuses on platform implementation rather than enterprise infrastructure architecture.
Build a high-performance AI platform and backend in Rust to power an AI-native trading experience. Design robust APIs and safe action infrastructure for trading workflows, including orchestration of models and tools.
Lead the design and operation of the infrastructure powering Cake's AI platform, focusing on Kubernetes-native systems and cloud environments. You will translate customer ML use cases into scalable platform capabilities while mentoring other engineers.
Design and maintain scalable infrastructure on Google Cloud while improving the developer experience through better tooling and workflows. You will own the platforms and internal systems that power development, focusing on reliability, observability, and secure-by-default patterns.
Own product initiatives end-to-end from problem definition and specification to deployment and measurement. Build scalable backend services and APIs to improve the provisioning and operation of blockchain infrastructure.
The role involves maintaining, troubleshooting, and enhancing legacy VB.NET and SQL Server applications within complex operational environments. You will collaborate with business users to diagnose production issues and implement long-term solutions across interconnected hardware and software systems.
Architect and maintain scalable data platform infrastructure and optimize analytic query engines. Collaborate with data teams to implement robust data management solutions and observability frameworks.
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Conduct browser security audits and execute security mitigations for the Search Engine Results Page (SERP). Manage application security scanning infrastructure and perform internal red-team operations to protect users across all products.
Own and operate secure, highly available multi-cloud infrastructure across AWS and GCP, including MongoDB Atlas, infrastructure as code, Kubernetes, CI/CD, security, and self-hosted open-source tools. Lead a team of three DevOps engineers, build observability and incident-response practices, and collaborate across engineering, product, and security teams.
Design and lead the architectural evolution of a cloud-native geospatial analytics platform. Develop and optimize microservices while collaborating on analytical dashboards and GIS system integrations.
You will be responsible for end-to-end testing of platform features, including frontend, backend, and API integrations. Additionally, you will investigate defects, maintain test documentation, and collaborate with the automation team to improve quality processes.
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