Role
We’re looking for a senior, hands‑on Cloud Platform Engineer to design, standardise, and operate cloud platforms that underpin multiple AI‑driven products and services.
This role is about building well‑defined, reusable platform patterns that enable delivery teams to move quickly while maintaining high standards of reliability, security, and cost control. You’ll play a key role in shaping how AI and cloud services are built, deployed, and operated across several concurrent initiatives, reducing fragmentation and improving consistency across the platform estate.
This is a hands‑on technical role for someone who enjoys making strong architectural decisions, establishing clear standards, and balancing flexibility with standardisation in a fast‑moving environment.
Knowledge, Skills & Abilities
- Platform Architecture & Standardisation
- Design and implement well‑defined architecture patterns for cloud‑native and AI‑enabled services on AWS
- Create and maintain reusable blueprints for common service types and workloads
- Drive consistency across multiple projects through shared modules, templates, and platform tooling
- Define standards for service deployment, integration, communication, and day‑to‑day operations
- Infrastructure as Code & Automation
- Build and maintain Terraform‑based infrastructure, with a strong emphasis on modular, reusable design
- Define CI/CD patterns for:
- Infrastructure provisioning and change management
- Application and model deployment
- Enforce best practices through pipelines and automation, rather than documentation alone
- Reliability, Observability & Operations
- Embed SRE principles across all services, including:
- Monitoring, logging, and distributed tracing
- SLIs, SLOs, and actionable alerting
- Continuously improve reliability, performance, and cost efficiency
- Operate and evolve API gateway and data plane technologies (e.g. Kong)
- Embed SRE principles across all services, including:
Required Skills & Experience
- Strong experience operating AWS‑based platforms in production
- Proven expertise with Terraform, including module design and CI/CD integration
- Hands‑on experience with container platforms:
- ECS preferred; EKS acceptable if adaptable
- Experience operating API gateways (Kong or equivalent)
- Solid understanding of cloud networking, service discovery, and communication patterns
- Experience supporting multiple teams or projects on a shared platform
- Strong troubleshooting skills and real‑world production operations experience
AI / Data Platform Experience (Required)
- Practical experience running or supporting AI/ML workloads in production, such as:
- Model inference services
- Batch or streaming processing pipelines
- Integrations with LLM APIs or managed model services
- Strong understanding of:
- Scaling characteristics of AI workloads
- Cost drivers for compute‑heavy and GPU‑based workloads
- Familiarity with:
- Model serving frameworks
- Data processing pipelines
- AWS managed AI / ML services
Desirable Experience
- GPU workloads or specialised compute environments
- Feature stores, vector databases, or embedding pipelines
- Event‑driven architectures
- Cloud security best practices (IAM, secrets management, Zero Trust)
- Platform engineering or internal developer platform experience
Behaviours
- An open and genuine communicator
- Able to take responsibility for your actions
- Always learning and wanting to improve
- Takes responsibility for own development
- Love what you do
- Value and support your team
- Embrace who you are
- Open minded and willing to explore new ideas
What We Offer
We value our team and to attract exceptional people, we offer an excellent package.
As a Leighton Employee You Can Look Forward To
- A competitive salary dependent on experience
- A contributory pension scheme
- Private healthcare
- 25 days annual leave, plus bank holidays and the opportunity to buy or sell holiday
- A flexible approach to working hours
- Continuous personal development, career path and training
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