Senior Platform Engineer
Listed on 2026-02-14
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IT/Tech
Cloud Computing, Systems Engineer
ABOUT US
Hyper Dev is a new developer-focused spin‑out within the Hyperion Dev ecosystem, one of the world’s leading providers of accelerated tech education. Our mission at Hyper Dev is to help people Write Code Right and 10x their impact by radically improving how developers build, learn, and grow in their work using generative AI.
We’re building the first tool that truly bridges the gap between low‑code platforms and full‑scale programming. By abstracting code into natural language, developers maintain full control over logic and behaviour while eliminating the friction of syntax and boilerplate. Our founding team comprises engineers who have worked on generative AI models at OpenAI (as recently as 2024) and technical leaders behind a BAFTA‑winning video game renowned for its innovation.
Hyperion Dev, our parent organisation, is one of the largest and most recognised coding education providers in EMEA. We partner with world‑class universities, including Imperial College London, The London School of Economics, and The University of Edinburgh, to deliver industry‑driven coding bootcamps that fast‑track learners into meaningful tech careers. Backed by Meta and the UK government’s Department for Education, and supported by a global community of nearly 2000 investors, Hyperion Dev is a profitable, high‑growth scale‑up shaping the future of tech education.
By joining Hyper Dev, you become part of this wider mission, combining the power of cutting‑edge AI with a proven model for global tech impact.
The Role
As the Senior Platform Engineer, you will lead the design, implementation, and management of scalable and secure AWS infrastructure and platform solutions. The role involves deploying cloud‑based systems, optimising performance, and ensuring reliability while adhering to best practices and security standards. You will manage infrastructure as code, automate processes, and maintain high availability of services; you’ll design and implement solutions that meet business requirements.
Responsibilities- Manage and optimise Kubernetes clusters (EKS)
- Design, deploy, and maintain the AWS infrastructure to support the organisation’s applications and services
- Implement and manage security measures to protect the AWS environment
- Design and manage observability infrastructure using tools like Cloud Watch, Prometheus, Grafana, and distributed tracing tools to monitor system health and performance
- Create and maintain documentation related to AWS infrastructure architecture, processes, and procedures
- Participate in capacity planning and scalability efforts to meet business demands
- Collaborate with development teams to optimise application performance on the AWS platform
- Stay up‑to‑date with industry trends and best practices in AWS infrastructure and cloud technologies
- Build and maintain orchestration services and APIs that power the platform’s infrastructure provisioning
- Write and review code, ensuring high standards in coding and programming practices
- Integrate infrastructure solutions with backend services for seamless operations
- In‑depth knowledge of AWS services and infrastructure architecture
- Proficiency in scripting languages like python, bash and infrastructure‑as‑code tools like Terraform or Opentofu
- Strong understanding of network concepts and protocols
- Good understanding of CI/CD pipelines and related tools
- Knowledge of Git Hub or other similar code repositories is an advantage
- Experience with security measures and best practices in AWS
- Ability to work independently and collaboratively in a team environment
- Excellent problem‑solving and troubleshooting skills
- Strong attention to detail and organisational abilities
- Proficient in coding and backend development, with experience in languages like Python, Java, or Node.js
- Minimum of 5 years in a Platform Engineer, Dev Ops or Infrastructure Engineer role, with a focus on building scalable and highly available systems
- Deep expertise in Docker and mandatory, proven experience with Kubernetes (especially AWS EKS) for dynamic resource allocation, auto‑scaling, and managing short‑lived, isolated environments
- Expert‑level proficiency in…
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