Manager, Platform Engineer, Solutions Engineering, AI & Data

• Design, develop, and maintain high-quality platforms and pipelines.
• Participate throughout the software development lifecycle, from design to deployment and maintenance.
• Engage and provide technical insight during system design.
• Collaborate with cross-functional teams to deliver software solutions.
• Write well-documented code and contribute to technical documentation.
• Proactively troubleshoot issues, maintain the smooth operation of live services, and help resolve complex production issues.
• Stay up to date with the latest technologies and best practices, assessing their impact and identifying opportunities for adoption.
• Effectively communicate complex technical topics to both technical and non-technical audiences.
• Actively contribute to the engineering community.

Technologies:

• AI
• AWS
• Azure
• Bash
• CI/CD
• Cloud
• DevOps
• Docker
• ELK
• GCP
• Git
• GitLab
• Grafana
• IAM
• Istio
• Jenkins
• Kubernetes
• Prometheus
• Puppet
• Python
• Security
• Terraform
• Support

• Proven experience designing, building, and maintaining cloud-based platforms and infrastructure, with a strong focus on Google Cloud Platform (GCP).
• Hands-on experience with GCP services such as Compute Engine, Cloud Storage, VPC, IAM, Cloud Functions, and GKE (Google Kubernetes Engine).
• Proficiency in Infrastructure as Code (IaC) using tools such as Terraform or Deployment Manager.
• Strong background in CI/CD pipeline design and automation using tools like Jenkins, GitLab CI, Cloud Build, or similar.
• Proficiency in scripting languages such as Python, Bash, or Go.
• Experience with containerisation and orchestration, including Docker, Kubernetes, and GKE.
• Solid understanding of networking, security, and identity management in cloud environments, including GCP-specific best practices.
• Familiarity with monitoring, logging, and alerting tools such as Prometheus, Grafana, ELK stack, or GCP Operations Suite.
• Experience with version control systems such as Git.
• Ability to troubleshoot and optimise workloads for performance, cost, and reliability on GCP.
• Experience with multi-cloud or hybrid cloud environments such as AWS, Azure, or on-premise is desirable.
• Exposure to service mesh technologies such as Istio or Linkerd and configuration management tools such as Chef or Puppet is desirable.
• Knowledge of site reliability engineering (SRE) principles and practices is desirable.
• GCP certifications such as Cloud Digital Leader, Associate Cloud Engineer, or DevOps Engineer are desirable.
• ITILv4 Foundation certification is desirable.
• Familiarity with GCP AI/ML services such as AI Platform or AutoML is desirable.
• Experience with GCP billing, cost management, and optimisation is desirable.
• Exposure to GCP security tools such as Security Command Centre, Cloud Armor, or Cloud Security Scanner is desirable.
• Experience delivering complex projects from backlog through to production is desirable.
• Excellent communication, collaboration, and problem-solving abilities.
• Ability to understand task requirements, dependencies, and prioritise work effectively for the team.
• Ability to mentor and guide junior engineers.
• Willing and eligible to obtain UK security clearance to Security Check (SC) if required.

We are Deloitte, a Technology & Transformation team based in Belfast with hybrid working. We help clients solve complex business and technology challenges by building trusted relationships, using leading-edge technologies, and delivering data-driven programmes that transform organisations. You will join a rapidly growing team focused on the technical delivery of innovative solutions, working within mature cross-functional teams alongside outstanding digital talent. We offer excellent development opportunities, including the chance to hone your technical craft, gain new skills, and complete qualifications and certificates. We foster inclusion, collaboration, flexibility, and wellbeing, and we are committed to helping our people grow and make an impact.