Senior Platform Engineer

17 hours ago


Auckland, Auckland, New Zealand SG Consulting Limited Full time

Role Overview

We are looking for a
Senior Platform Engineer
experienced in
cloud-native platform design, infrastructure automation, and data platform enablement
. You'll work across
multi-cloud environments (AWS, Azure, GCP)
, enabling
DevOps and DataOps practices
, implementing
Infrastructure as Code (IaC)
, and embedding
observability and security
as part of the platform lifecycle.

Key Responsibilities

  • Design, build, and operate
    cloud-native platforms supporting enterprise data, integration, and application workloads.
  • Implement
    Infrastructure as Code (IaC)
    using
    Terraform, CloudFormation, or Bicep
    to provision scalable and secure infrastructure.
  • Collaborate with
    Data Engineers, Cloud Architects, and DevOps teams
    to design and automate infrastructure for data platforms such as
    Snowflake, Databricks, BigQuery, and Kafka
    .
  • Define and implement
    observability best practices
    (metrics, logs, tracing) using tools such as
    Dynatrace, Prometheus, Grafana, or Cloud-native monitoring suites
    .
  • Build and maintain
    CI/CD pipelines
    using
    GitHub Actions, Azure DevOps, or Jenkins
    , enabling automated deployments and testing for infrastructure and applications.
  • Contribute to
    platform governance, Well-Architected reviews
    , and
    security and compliance
    practices across cloud workloads.
  • Support
    multi-cloud integrations
    and migration of workloads from on-premises to cloud.
  • Partner with business and technology stakeholders to define
    reference architectures
    and
    solution patterns
    for data and application hosting.
  • Mentor and coach internal teams on
    DevOps, Cloud, and Platform Engineering
    best practices.
  • Contribute to
    knowledge sharing, documentation
    , and cross-team enablement within the engineering community.

Core Skills & Experience

  • 8+ years of experience across
    Cloud, Platform, or DevOps Engineering
    , with exposure to
    Data and Integration environments
    .
  • Strong hands-on experience with
    AWS (EKS, EC2, RDS, S3, VPC, Lambda)
    and/or
    Azure (AKS, App Services, Functions, Storage, VNet)
    .
  • Expertise in
    Infrastructure as Code (IaC)
    using
    Terraform
    (multi-account, multi-tenancy environments).
  • Proven experience in
    containerization and orchestration
    using
    Docker, Kubernetes (EKS/AKS/GKE)
    .
  • Solid understanding of
    CI/CD pipelines
    and
    DevOps automation
    (GitHub Actions, Jenkins, Azure DevOps).
  • Experience with
    observability and monitoring
    (Dynatrace, CloudWatch, Grafana, ELK, Prometheus).
  • Understanding of
    networking, IAM, and security principles
    in cloud environments.
  • Familiarity with
    API Management platforms
    such as
    MuleSoft Anypoint
    ,
    APIM
    , or similar.
  • Working knowledge of
    data workflows and ETL pipelines
    , including integration with
    Snowflake, Databricks, or S3-based data lakes
    .
  • Scripting skills in
    Python, Bash, or PowerShell
    .
  • Experience with
    Agile methodologies
    and stakeholder engagement in consulting or enterprise delivery environments.


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