Backend Software Engineer

Biomatters; Auckland; Hybrid; NZD 120,000 - 180,000; Full time

Job summary

Dotmatics is seeking a Backend Software Engineer with strong Java and/or Scala expertise and hands-on AWS experience to join our agile engineering team. You’ll help expand our cloud platform, with a focus on AI-driven tools and workflows, building robust services and operating our AWS-based platform.

This hybrid role is based in central Auckland, with in-office 1-3 days per week. You’ll work on Geneious, a leading bioinformatics platform used by researchers and institutions globally.

Qualifications

• Bachelor's degree or equivalent practical experience in Computer Science or related field.
• 4+ years of cloud and backend engineering experience.

Responsibilities

• Develop and maintain Geneious cloud products and components.
• Own end-to-end delivery from coding to Docker packaging and deployment to EKS.
• Collaborate with colleagues and customers to capture requirements and iterate designs.
• Support testing, documentation, and production operations as part of the team.

Skills

Java/Scala

AWS

Distributed systems

Cloud-native architecture

Terraform/CloudFormation

Docker

Kubernetes

DevSecOps

Education

Bachelor's degree in Computer Science or related field

Tools

AWS services (EC2, EKS, Lambda, S3)

Terraform/CloudFormation

Job description

Jora New Zealand will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

At Dotmatics, a Siemens company, 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, 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 Backend Software Engineer with strong Java and/or Scala expertise and hands-on AWS experience to join our agile engineering team. You'll help expand our cloud platform's capabilities, with a growing focus on supporting AI-driven tools and workflows. This role combines core backend development — designing, building, and maintaining robust services — with cloud infrastructure work, as you help build out and operate our AWS-based platform.

This is a hybrid position based in central Auckland. We'd ideally like someone within commuting distance of the city, in-office 1-3 days per week.

You’ll join our Geneious team, working on one of the world's leading bioinformatics platforms, used by thousands of organizations — from major pharmaceutical companies to university researchers. Your work will directly support scientists across critical fields, including the development of life-saving therapeutics and vaccines, as well as research into 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:

• Strong backend engineering skills in Java and/or Scala, including experience with distributed systems and data-intensive applications.
• Hands-on experience with AWS, including services such as EC2, Kubernetes/EKS, Lambda, RDS, S3, VPC, IAM, and CloudWatch.
• Experience designing and implementing cloud-native architectures including containerization, serverless, and managed database services.
• Proficiency with infrastructure as code tools such as Terraform or CloudFormation.

You may also have:

• Comfort using AI coding assistants (e.g. "Claude Code") as part of a modern development workflow.
• Experience building backend systems for AI use. E.g. MCP servers and tooling.
• Strong understanding of cloud security, networking, and reliability best practices.
• Experience with observability and monitoring platforms such as Datadog, CloudWatch, or equivalent.
• Familiarity with FinOps practices and cloud cost optimization tooling.