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Cloud Engineer

Dotmatics
CompanyDotmatics
CategoryEngineering
LocationAuckland
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted24 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
Our Why At Dotmatics  At Dotmatics, we believe science, data, and decision-making must be deeply intertwined for innovation to thrive.  Our Portfolio includes Luma, LumaLab Connect, ELN Platform, Graphpad Prism, Geneious, SnapGene, Protein Metrics, OMIQ, FCS Express, LabArchives, NQuery, EasyPanel, MStar, SoftGenetics and Virscidian. We have a vision for a new Lab of the Future that will change the future of scientific research. We have created the world’s most comprehensive digital science platform – best-of-breed software applications already used by more than 2 million scientists, together in a single ecosystem united by a powerful, flexible enterprise data platform. This is not flat data buried away in digital graveyards. This is dynamic, multi-dimensional decision-making. Scientific enterprises need a new level of effectiveness to achieve tomorrow’s breakthroughs. Illness will not wait. The biosphere will not wait. We are tireless in our vision, because the time for innovation is now. Shaping the Future of Science At Dotmatics  Our global team of more than 800 colleagues are dedicated to supporting our customers in over 180 countries. Together, with our scientific community of users, we accelerate scientific innovation in order to make the world a healthier, cleaner, and safer place to live. You’ll join a collaborative, global team pushing the boundaries of scientific innovation.  Your ideas and efforts will have a tangible impact, accelerating scientific progress and discovery. We offer a dynamic, remote-friendly environment that fosters high integrity and collaboration, empowering you to excel. Dotmatics is a company built by scientists, for scientists. Combined, we are now the world’s largest cloud-based scientific research R&D platform. We need your help to keep growing and pioneering the future.   We are Science Driven. We are Customer Centric. We are Better Together.    What do we need Dotmatics is seeking a Cloud Software Engineer to join our agile engineering team as we expand our cloud capabilities, increasingly to support AI driven tools and workflows. In this role you will bring both hands-on AWS expertise and strong backend engineering skills to both build out and operate our cloud platform. This is a hybrid position.  Our office is based in central Auckland, ideally you will be in a location commutable to the city 1- 3 days per week. This role will sit on our Geneious Team-- one of the leading bioinformatics solutions internationally, used by thousands of organisations from big pharma to researchers in universities. Our software directly supports scientists working in a wide range of important fields from development of lifesaving therapeutics and vaccines through to climate change and food security. In this role you will get to: Develop and maintain Geneious cloud products across their various components.  Integrating cloud services or writing new ones (mainly in Scala with some Java). If you don’t know Scala, don’t worry, we’ll support you in learning. Own what you build end to end. From writing code, packaging it as Docker containers, deploying them to EKS, and running them in production (we practice DevSecOps). Collaborate regularly with colleagues and customers to establish requirements and iterate on designs. As part of a cross­-functional development team, take on testing, documentation and support when needed. We are looking for people who have 4+ years of experience in cloud and backend engineering.  A Bachelor’s or Advanced Degree in Computer Science or a related field, or equivalent practical experience is required.  Knowledge of Biology is not required, as we have a team of scientists who will help you learn. You will be an engineer that prides themselves on getting things done! The key skills we are looking for are: Hands-on experience with AWS, includin
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