As Head of Engineering Excellence, you’ll help shape and uplift engineering practices across ANZ Technology in New Zealand, building greater consistency, capability and technical excellence across our engineering community. You will champion modern engineering practices and help teams adopt enterprise standards.
Locations (2)
Wellington, Wellington, New Zealand
Auckland, Auckland, New Zealand
Responsibilities
Shape and embed engineering standards, practices and patterns across NZ Technology
Lead the uplift of engineering capability and technical excellence across multiple domains
Champion modern engineering approaches, including AI and agentic engineering, SecDevOps, automation and reliability engineering
Partner with senior technology and engineering leaders to influence engineering direction and improve value delivery
Connect teams across domains, encouraging shared practices and greater consistency across our engineering community
Requirements
Relevant tertiary qualification
Nice to have: Practical experience with AI modernizing software development
Nice to have: Professional certifications in cloud, engineering, security or agile delivery
Senior Developer to support migration of an enterprise digital platform from Sitecore to Contentful, involving content migration, React/TypeScript development, API integrations and modern headless architectures.
Responsibilities
Migrate and modernise existing Sitecore-backed applications to work with Contentful
Develop, refactor and enhance frontend applications using React and TypeScript
Replace Sitecore-specific dependencies, components and integrations with Contentful-compatible solutions
Develop content migration tooling, scripts and automated transformation processes
Implement Contentful content models, API integrations and content delivery patterns
Senior Developer to support migration of an enterprise digital platform from Sitecore to Contentful, involving content migration, React/TypeScript development, API integrations and modern headless architectures.
Responsibilities
Migrate and modernise existing Sitecore-backed applications to work with Contentful
Develop, refactor and enhance frontend applications using React and TypeScript
Replace Sitecore-specific dependencies, components and integrations with Contentful-compatible solutions
Develop content migration tooling, scripts and automated transformation processes
Implement Contentful content models, API integrations and content delivery patterns
Senior Developer to support migration of an enterprise digital platform from Sitecore to Contentful, involving content migration, frontend development, AI‑first practices, and modern headless architectures.
Responsibilities
Migrate and modernise existing Sitecore‑backed applications to work with Contentful
Develop, refactor and enhance frontend applications using React and TypeScript
Replace Sitecore‑specific dependencies, components and integrations with Contentful‑compatible solutions
Develop content migration tooling, scripts and automated transformation processes
Implement Contentful content models, API integrations and content delivery patterns
As a senior member of our team, the Engineering Manager leads the engineers who build and deliver our clients' data and AI systems.
Locations (4)
Walnut Creek, California, United States
San Francisco, California, United States
Dallas, Texas, United States
Washington, United States
Compensation
This position is also eligible for bonus compensation.
Responsibilities
Lead one or more engineering teams through client engagements, turning data and AI strategy into working systems
Manage the full delivery lifecycle, from technical design and architecture decisions through implementation, code review, testing, and production hand-off
Provide architectural leadership across the Spend Data Management portfolio, designing secure, scalable, resilient solutions for high-volume data platforms.
Compensation
The current salary range for this role is $135,200.00 to $236,600.00.
Responsibilities
Lead the technical adoption of the Spend Data Management data-product model by establishing standards for product ownership, consumer outcomes, interfaces, data contracts, quality, support, security, discoverability, and lifecycle management.
Design end-to-end solution and reference architectures spanning enterprise master data, data products, applications, APIs, integrations, cloud platforms, eventing, data quality, identity, security, and semantic technologies.
Translate business capabilities and requirements into secure, scalable, resilient architectures and reusable capabilities for master-data management (MDM), product and vendor mastering, identity resolution, data access, data quality, and stewardship workflows.
Architect high-volume data solutions that process millions of records and improve scalability, throughput, data correctness, and near-real-time availability.
Provide architectural leadership across multiple products and guide internal engineering teams and implementation partners through solution design, delivery, production readiness, and technical evolution.
An internal opportunity to provide people leadership and technical direction across engineering teams. This is a technology-agnostic role with line management responsibility for junior and mid-level developers.
Locations (2)
Serbia
Romania
Responsibilities
Line manage developers across technologies, including regular one-to-ones, objective setting, development planning, feedback, and career conversations.
Create a supportive environment in which team members understand expectations, receive timely coaching, and have clear opportunities to grow.
Provide technology-agnostic technical leadership, helping teams make proportionate decisions on design, quality, maintainability, testing, security, and delivery approach.
Work with senior engineers, architects, practice leads, and subject-matter experts when deeper technology-specific guidance is required.
Monitor team capacity, delivery risks, wellbeing, and development needs, escalating concerns early and following through on agreed actions.
Design and deliver AI‑centric solutions for Microsoft platforms, leading discovery workshops, architecture definition, and proposal development to support client engagements.
Compensation
Gross salary between € 5,000 and € 6,500 per month depending on your work experience, variable performance based reward, a fixed expense allowance and a fixed working from home allowance per working day.
Responsibilities
Shape solutions with clients through discovery sessions and workshops
Design initial architecture and develop solution outlines
Translate architecture into scope, phasing, effort, cost and risk
Create compelling proposals and support bid processes
Validate feasibility through technical design reviews
Requirements
Higher professional or academic working and thinking level in a technical, scientific or business-related discipline, or equivalent professional experience
Lead engineering teams to drive delivery and code quality, facilitate AI and technology adoption, transform operations towards excellence in Site Reliability Engineering, modernize software development life cycle processes, conduct architecture reviews and ensure technical governance.
Compensation
$51-61 Per HR
Responsibilities
Lead engineering teams to drive delivery and code quality.
Facilitate AI and technology adoption across projects.
Transform operations towards excellence in Site Reliability Engineering.
Modernize software development life cycle processes.
Conduct architecture reviews and ensure technical governance.
Requirements
Nice to have: experience in AI enablement and SRE transformation
Hire, coach, and grow engineers, setting technical standards and building feedback loops, career paths, and mentorship
Partner directly with client engineering and technology leaders as a peer, translating ambiguous business requirements into a clear technical plan
Make and stand behind architecture and technology choices for data platforms and AI/ML systems, including cloud-native data lakes and warehouses, pipeline orchestration, and MLOps tooling
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
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