Jobs at Dotmatics

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.

Own and deliver moderately complex features for Dotmatics LUMA by defining requirements, writing user stories, prioritizing based on customer insights and usage data, collaborating with engineering, UX, QA and GTM, prototyping and running light experiments, and supporting product strategy and roadmap development.

As a Senior Application Scientist, you will implement Dotmatics solutions in labs, ensuring project success through collaboration, training, and integration with existing systems.

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.

Lead front-end architecture and development for a data-rich Angular web application. Own UI delivery end-to-end, mentor engineers, ensure performance, accessibility, testing, CI/CD, and front-end security. Collaborate with cross-functional teams and customers to define requirements and iterate on designs.

Provide global People & Organization (P&O) support including policy implementation, employee relations case management, manager advisory, immigration/visa support, onboarding/offboarding, Workday administration, Jira/mailbox triage, reporting, and project support to HRBPs and managers.

Lead full-stack development across microservices and serverless, building scalable Node.js backends and React frontends. Design event-driven data pipelines, RESTful APIs, and asynchronous distributed services. Ensure test coverage, CI/CD, observability, and production reliability while mentoring engineers and driving architectural improvements.

Senior Business Analyst for Dotmatics Luma team translating product strategy into detailed user stories, acceptance criteria, and backlog items within Agile/Scrum. Collaborates with Product, Engineering, QA, UX, and scientists; performs requirements elicitation, process analysis, UAT, and supports product discovery, analytics-driven improvements, and cross-team delivery for a multi-tenant scientific SaaS platform.

Lead EMEA sales strategy and a regional team to sell cross-portfolio scientific and manufacturing SaaS solutions (ELN, LIMS, MES, PLM, analytics, AI). Drive territory and named-account coverage, pipeline generation, complex multinational negotiations, partner/channel engagement, and cross-functional collaboration to win and expand large enterprise deals.

Design, build, and maintain scalable analytics models and automated reporting. Partner with Sales, Product, Marketing, and Finance to define KPIs, deliver ad hoc analysis, improve data quality and observability, and establish analytics engineering best practices to enable self-service analytics.

Support the Customer Success Lead for Japanese customers by managing order data entry, verifying invoices/serials, registering serial numbers, generating invoices and delivery documents, organizing files in Google Drive, and responding to customer inquiries via email and phone. Coordinate with internal and offshore teams, build customer relationships, and follow established workflows to ensure accurate, timely communication and delivery.

Own cloud cost intelligence and operational health for Luma: analyze and optimize cloud spend, build dashboards and automated reporting, partner with stakeholders to align KPIs, enforce cloud governance, review architectures for cost impact, and improve data quality and observability to inform executive and engineering decisions.

Technical lead for a distributed, event-driven data processing and execution platform. Define architecture, migrate components to Node.js/TypeScript and Python, build asynchronous pipelines (Kafka/GraphQL/REST), ensure scalability, reliability, observability on Kubernetes/AWS, manage multi-store state consistency, and mentor engineering teams.

Drive delivery and quality of scientific features on Dotmatics LUMA by owning problem spaces, defining requirements, writing user stories, collaborating with engineering/UX/GTM, analyzing usage and customer feedback, and delivering moderately complex features from scope to release.

Lead end-to-end UX design for scientific products: translate complex workflows into intuitive journeys, create wireframes and high-fidelity prototypes, evolve the design system, leverage research and AI tools, collaborate with cross-functional teams, and champion accessibility and user-centred practices.