Senior Consultant, Platform Engineer, Solutions, Engineering, AI & Data

Responsibilities

• 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 play a key role in resolving 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.

Preferred Skills

• 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.
• Proficient in Infrastructure as Code (IaC) using tools such as Terraform (including for GCP) 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 (e.g., Python, Bash, Go).
• Experience with containerisation and orchestration (Docker, Kubernetes, GKE).
• Solid understanding of networking, security, and identity management in cloud environments, including GCP‑specific best practices.
• Familiarity with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, ELK stack, GCP Operations Suite).
• Experience with version control systems (e.g., Git).
• Ability to troubleshoot and optimise workloads for performance, cost, and reliability on GCP.

Desirable Skills

• Experience with multi‑cloud or hybrid cloud environments (AWS, Azure, on‑premise).
• Exposure to service mesh technologies (e.g., Istio, Linkerd) and configuration management tools (e.g., Chef, Puppet).
• Knowledge of site reliability engineering (SRE) principles and practices.
• GCP certifications (e.g., Cloud Digital Leader, Associate Cloud Engineer, DevOps Engineer).
• ITILv4 Foundation certification.
• Familiarity with GCP AI/ML services (AI Platform, AutoML).
• Experience with GCP billing, cost management, and optimisation.
• Exposure to GCP security tools (Security Command Centre, Cloud Armor or Cloud Security Scanner).
• Experience delivering complex projects from backlog through to production.

Soft Skills

• Excellent communication, collaboration and problem‑solving abilities, enabling the identification and resolution of challenges in a dynamic, fast‑paced environment.
• 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.

Location

Based in Manchester or Newcastle with a hybrid working arrangement allowing for office, remote and client‑site work as required.

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