Role Overview
Our client is seeking an experienced Senior Cloud and Platform Engineer to join our dynamic team. This role requires deep expertise in cloud automation, engineering, cost optimisation and design, with a focus on Amazon Web Services (AWS). The ideal candidate will have a strong programming background and a proven track record of developing custom solutions. As a senior member of the team, you will play a crucial role in shaping our cloud infrastructure, leading technical projects, and mentoring junior engineers.
This is a fantastic opportunity to make a significant impact within a forward-thinking organisation, contributing to the evolution of our cloud and platform engineering capabilities. If you have a passion for cloud technology, automation, and leadership, we would love to hear from you!
Role Responsibilities
- Platform Engineering in AWS: Design, implement, and optimize AWS-based platform engineering solutions that align with application requirements and industry best practices.
- Automation & Infrastructure as Code (IaC): Develop and maintain infrastructure automation using AWS Cloud Development Kit (CDK) and Terraform.
- DevSecOps Enablement: Build robust, scalable and repeatable solutions that enable DevSecOps adoption, using tools such as Gitlab and Nexus and scripting languages such as Python, GO and powershell
- Collaborate with cross-functional teams to integrate generative AI solutions into existing systems.
- Research and stay up-to-date on the latest advancements in cloud distributed systems and generative AI technologies and methodologies
- Project Leadership: Take ownership of cloud and platform engineering projects, ensuring they are delivered efficiently, securely, and in accordance with organizational standards.
- Technical Strategy & Governance: Understand corporate toolsets, provide recommendations for architectural designs, and ensure compliance with internal governance frameworks.
- Escalation & Troubleshooting: Serve as an escalation point for complex technical issues, providing guidance and support to other team members.
- Collaboration & Mentorship: Work closely with cross-functional teams, sharing knowledge and best practices to foster continuous improvement.
Experience / Competences
Essential
- Extensive AWS expertise, including experience with cloud automation, security best practices, cost optimisation and architectural design.
- Proficiency in programming and problem solving, with a demonstrated history of developing and maintaining custom automated solutions.
- Strong experience with Python, GO and powershell
- Experience with DevOps methodologies, CI/CD pipelines, and containerization technologies (e.g., EKS, Docker, Kubernetes).
- Hands-on experience with CDK and Terraform for infrastructure automation
- Familiarity with Amazon Bedrock, TensorFlow, and PyTorch for developing AI solutions
- Good understanding of monitoring and logging solutions such as Grafana, CloudWatch, Prometheus, or ELK Stack.
- Familiarity in security and compliance within cloud environments.
- Excellent problem-solving skills and the ability to troubleshoot complex cloud-based environments.
- Strong leadership capabilities, with experience leading technical projects and mentoring team members.
- Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.
Desired
- AWS certifications such as AWS Certified Solutions Architect Professional, AWS Certified DevOps Engineer Professional, AWS Certified AI Practitioner, or AWS Certified Developer Associate
