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Project-based consulting role for an experienced Machine Learning Engineer to evaluate ML scenarios, develop and validate models, and review analytical workflows to ensure scalable, practical solutions.
Data Engineer specializing in Databricks, building data engineering solutions for consulting clients across diverse industries using Databricks and GCP as the primary stack.
A Databricks-focused Data Engineer delivering advanced data engineering solutions for NZ clients, with experience in GCP/AWS, SAP S/4HANA, and SAP Datasphere.
Staff Engineer at a fintech SaaS company splitting time between hands-on .NET Core/React development (60-70%) and DevOps/cloud engineering with AI-enabled workflows (30-40%), while mentoring and driving technical initiatives.
Senior Full-Stack Engineer in a hands-on technical leadership role, building scalable cloud-native applications and driving a legacy-to-modern migration from AngularJS to React and PHP to Go.
Lead Java Developer role shaping enterprise applications in Porirua, combining hands-on coding with architectural direction, mentoring, and Agile team collaboration.
Hands-on technical leadership role guiding Agile teams building enterprise Java applications with Java 17, Spring Boot and React; involves coding, architecture decisions and mentoring developers.
QA/AI Evaluation Engineer at a digital consultancy, running LLM evaluations at scale (human-UAT to millions of automated evals), statistically measuring factual grounding and accuracy, and building metrics frameworks using Python, test automation, and CI/CD.
QA/AI Evaluation Engineer running large-scale evaluations of AI-assisted solutions, measuring factual grounding and accuracy, building metrics frameworks, and automating evaluation pipelines in CI/CD.
Build and evolve MCP servers, graph-RAG pipelines, and agentic layers that connect a platform to multiple LLMs (Claude, Gemini) using Python, vector databases, and graph data stores.
Platform Engineer designing and supporting scalable Azure cloud capabilities—infrastructure automation with Terraform, Kubernetes, CI/CD pipelines, and AI/GenAI workloads for a financial services client.
Build MCP servers and graph-RAG pipelines, integrate multiple LLMs (Claude, Gemini), and deliver production-grade AI solutions in an agile team with product, data, and QA.
Design and maintain the data structures and ETL pipelines behind a graph-RAG platform — modeling knowledge domains, building ingestion pipelines from SharePoint/Microsoft sources in Python, and keeping a Neo4j/Postgres knowledge graph in sync.
Senior Data Engineer building scalable Snowflake-based data pipelines and warehouse solutions in the insurance sector, using AWS cloud services, Python, SQL, Java, and Scala on a 12-month hybrid contract in Toronto.
Senior DevOps Engineer designing, building, and automating scalable cloud infrastructure across Azure and AWS using Terraform, CI/CD pipelines, and containerized microservices.
DevOps/Cloud Engineer managing automated deployments and cloud environments using Kubernetes, Terraform, and CI/CD pipelines, collaborating with dev and cloud architecture teams in a hybrid setup.
DevOps/DevSecOps consultant specializing in Google Cloud Platform (GCP) to design, automate, and evolve secure cloud infrastructures. Responsible for infrastructure as code with Terraform, CI/CD pipelines with GitHub Actions, and ensuring environment stability, security, and performance.
Senior DevOps consultant leading the migration of container workloads from Azure Kubernetes Service (AKS) to Azure Red Hat OpenShift (ARO), with hands-on CI/CD, GitOps, infrastructure as code, and DevSecOps responsibilities.
Backend developer building Python/Django services for mobile apps and secure web applications in Saskatoon, with mentoring and project planning responsibilities.
Design and maintain cloud infrastructure in Azure/AWS, build CI/CD pipelines, manage Kubernetes clusters, and support multi-tenant SaaS environments using Terraform, Azure DevOps, Argo CD, and observability tooling.
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