2 months ago
Remote, United KingdomMid Level
Responsibilities
- Develop and maintain highly available, secure, and scalable AWS infrastructure for multiple products and services.
- Build infrastructure-as-code, automation, and self-service tooling to improve developer productivity and operational efficiency.
- Collaborate with engineering, security, and DevOps teams on cloud and infrastructure best practices.
- Improve observability, monitoring, platform reliability, and incident response practices.
- Apply cloud security and operational best practices to protect sensitive data and support compliance.
- Participate in peer code reviews, contribute to engineering practices, and share knowledge with colleagues.
Requirements
- Around 4+ years of experience working with cloud infrastructure and production services.
- Hands-on experience operating production workloads and automating infrastructure on AWS.
- Strong Python scripting and automation skills; PowerShell or Bash experience is also relevant.
- Experience with Linux and/or Windows environments, including solid Linux administration skills.
- Experience with a configuration management tool such as Ansible, Chef, or Puppet.
- Some experience with .NET, Ruby, Java, or PowerShell in addition to Python.
- Understanding of CI/CD concepts, tools, and pipeline design.
- Experience supporting distributed and highly available AWS applications or services.
- Understanding of networking fundamentals including DNS, load balancing, and firewalls.
- Experience with or understanding of serverless architectures such as AWS Lambda and API Gateway.
- Experience working in Agile and DevOps environments and participating in peer code reviews.
- Ability to communicate effectively with technical and non-technical colleagues and collaborate across teams.
Benefits
- Remote-friendly work environment.
- Opportunity to work with a global team supporting customers in more than 180 countries.
- Equal opportunity workplace focused on inclusion, support, and collaboration.
About Dotmatics
Dotmatics builds cloud-based R&D scientific software that unifies biology, chemistry, and data management workflows for biopharma, chemicals/materials companies, and academic labs; products include Luma, ELN, GraphPad Prism, Geneious, SnapGene, Protein Metrics, and LabArchives. The company sells SaaS and enterprise licenses for data integration, analysis, and decision support, is headquartered in Boston, and operates as a Siemens company following its acquisition.