About the Company
A high‑growth enterprise technology company focused on scientific data platforms and AI‑driven solutions is seeking an experienced DevOps Engineer to support the scaling of next‑generation, cloud‑native products.
The organisation is pioneering AI‑native data foundations and delivering advanced data management solutions that enable complex scientific and analytical workloads. It operates at the intersection of cloud infrastructure, data platforms, and applied AI, and works closely with leading partners across cloud, compute, and data ecosystems.
The company places strong emphasis on values, ownership, and high performance, and candidates are expected to align with a principled, execution‑focused approach to building products and teams.
What You Will Do
- Collaborate closely with product and engineering teams across the full product lifecycle, from design and development through deployment and operation
- Work directly with customers to deploy, integrate, and troubleshoot solutions within customer‑managed AWS environments
- Design and maintain infrastructure automation including CloudFormation templates, Terraform modules, Python scripts, deployment frameworks, monitoring, and self‑healing systems
- Partner with software engineers to build robust monitoring, observability, and metrics systems prior to production release
- Own and operate internal AWS environments and networking, balancing reliability, security, scalability, and cost efficiency
- Participate in technical discussions with prospective customers alongside solution architects to address integration, security, and deployment considerations
- Maintain clear, up‑to‑date documentation covering deployments, operational processes, and standard operating procedures
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- 5+ years of experience in a DevOps, Platform, or Cloud Engineering role
- Strong hands‑on experience with Amazon Web Services (AWS); certification preferred
- Proficiency in at least one programming language (Python preferred; Java or Go also acceptable)
- Deep experience with infrastructure‑as‑code tools (CloudFormation strongly preferred)
- Practical exposure to AI technologies, including machine learning and large language models
- Proven ability to automate cloud‑native infrastructure and application deployments at scale
- Experience with CI/CD tools and workflows (e.g. GitHub Actions, AWS CodeDeploy)
- Familiarity with microservices architectures, containerisation, and orchestration (Docker, Kubernetes)
- Solid understanding of Linux fundamentals, networking concepts, and cloud security best practices
- Strong communication skills and comfort working directly with customers and internal stakeholders
Benefits & Working Model
- Comprehensive employer‑paid health benefits for employees and eligible dependents
- Generous paid time off policy
- Retirement savings plan
- Flexible working model (remote‑first with office access as needed)
- Employer‑paid life insurance and disability coverage
