Top Tech Jobs & Startup Jobs

Drive financial planning, budgeting, forecasting, monthly reporting, KPI analysis, financial modeling, scenario analysis, and variance analysis for a global SaaS business. Partner with cross-functional stakeholders to support business decisions, identify risks and opportunities, improve performance metrics, and contribute to strategic initiatives including M&A, fundraising, and other business projects.

Lead Dotmatics’ AI governance program by developing frameworks, risk tiering, use-case registries, policies, controls, and reporting aligned with regulations and standards. Coordinate the AI Governance Council and Siemens consortium, assess AI risks across product and business functions, embed controls into the SDLC, respond to customer due diligence, and deliver training. The role requires executive communication, cross-functional influence, technical understanding of AI/ML systems, and extensive information security, technology risk, compliance, and regulated-industry experience.

Develop and maintain LabArchives electronic laboratory notebook, inventory, and scheduler products. Collaborate with product, operations, and support teams to design, build, test, release, and improve software features across front-end, back-end, and database layers. Create unit tests and expand automation frameworks, participate in code reviews, security audits, and accessibility evaluations, and contribute to continuous improvement in a remote environment.

Lead development of scalable full-stack features across Node.js and React applications in a distributed, event-driven microservices environment. Build serverless data pipelines, asynchronous APIs, and high-volume scientific data workflows. Maintain reliable, well-tested code, improve architecture, conduct code reviews, mentor engineers, and support production observability, deployment, and monitoring. Collaborate with engineers to create intuitive interfaces for scientific research workflows.

Develop and maintain Java-based Geneious Prime software, integrate sequence-analysis algorithms, build biological data tools and cloud integrations, and contribute across frontend and backend systems. Collaborate with scientists, customers, and cross-functional agile teams to define requirements and iterate designs. Support testing, documentation, and troubleshooting while working with complex codebases and potentially CI/CD and automated testing tools.

Provides first-line IT support for global employees across Windows and macOS environments. Responsibilities include endpoint troubleshooting and deployment, identity and access management, email support, connectivity troubleshooting, onboarding and offboarding, AWS WorkSpaces administration, and Jira Service Management ticket ownership. The role supports hybrid Active Directory and Entra ID environments, Microsoft 365, Google Workspace, and global users across multiple time zones while meeting service-level targets.

Lead and operationalize a company-wide AI governance program: build frameworks, assess AI risks and use cases, embed controls in SDLC, run governance council, liaise with Siemens consortium, handle regulatory compliance (EU AI Act, NIST AI RMF), produce reporting, and deliver training and documentation across Product, Engineering, Legal, Privacy, HR and Security.

Develop and maintain automated test suites for a scientific software platform using Cypress, TypeScript, Cucumber, and Playwright. Own quality for an application module, design functional, regression, and integration tests, investigate defects, document bugs in JIRA, verify fixes, and maintain reliable CI test pipelines. Collaborate with developers, scientists, and DevOps engineers while performing manual exploratory testing and expanding API-level coverage.

Develop and maintain Geneious cloud products by building and operating cloud services (mainly Scala/Java). Package code as Docker containers, deploy to EKS, run in production, and collaborate with cross-functional teams on requirements, testing, documentation, and support. Focus on cloud-native architectures, IaC, and DevSecOps practices.

Build and maintain scalable Go back end services, APIs, and data pipelines for flow cytometry/biomedical data on Google Cloud. Support CI/CD with GitHub Actions, implement observability, and collaborate with front-end engineers using TypeScript/Angular. Participate in full development lifecycle, code reviews, and Agile ceremonies. Hybrid role with two days/week in Auckland.