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 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.

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 within TPICAP, 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.