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- Tasks: Design and operate cloud platforms for AI-driven products, ensuring reliability and cost control.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Competitive day rate and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on collaboration and innovation.
- Why this job: Shape the future of AI workloads while working with cutting-edge technology.
- Qualifications: Strong AWS experience, Terraform skills, and a passion for AI platforms.
We are looking for a senior SRE / DevOps practitioner to design, standardise, and operate cloud platforms that support multiple AI-driven products and services. This role focuses on building opinionated, reusable infrastructure patterns that enable teams to rapidly deliver AI workloads while maintaining high standards for reliability, security, and cost control.
You will develop platform architecture across multiple concurrent projects, ensuring consistency in how services are deployed, integrated, and operated. This includes shaping how workloads are built, deployed, and monitored, as well as defining clear patterns for service communication, API exposure, and infrastructure provisioning.
This is a hands-on role for someone who is comfortable making strong architectural decisions, reducing variability across teams, and balancing flexibility with standardisation in a fast-moving environment.
Requirements- Platform Architecture & Standardisation
- Define and implement opinionated architecture patterns for cloud-native and AI-enabled services on AWS
- Establish reusable blueprints for these same services
- Drive consistency across multiple projects through shared modules, templates, and platform tooling
- Infrastructure as Code & Automation
- Build and maintain Terraform-based infrastructure, using modular and reusable design
- Define CI/CD patterns for:
- infrastructure deployment
- application and model delivery
- Enforce best practices through pipelines and automation rather than documentation
- Embed SRE principles across all services:
- monitoring, logging, tracing
- SLIs/SLOs and alerting
- Strong experience operating AWS-based platforms in production
- Proven experience 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 and service discovery patterns
- Experience supporting multiple teams or projects on a shared platform
- Strong troubleshooting and production operations experience
- Practical experience running or supporting AI/ML workloads in production, such as:
- model inference services
- batch processing pipelines
- integration with LLM APIs or hosted models
- scaling characteristics of AI workloads
- cost considerations (compute-heavy workloads, GPU usage, etc.)
- model serving frameworks
- data processing pipelines
- managed AI services on AWS
Benefits: Competitive day rate
Senior SRE / DevOps Engineer - Contract - Inside IR35 in London employer: Mindera
Contact Detail:
Mindera Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior SRE / DevOps Engineer - Contract - Inside IR35 in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Senior SRE/DevOps role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your Terraform projects, CI/CD pipelines, and any AI workloads you've managed. This hands-on evidence can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your AWS knowledge and SRE principles. Be ready to discuss how you've implemented infrastructure as code and improved reliability in past roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives you a chance to showcase your enthusiasm for the role right from the start.
We think you need these skills to ace Senior SRE / DevOps Engineer - Contract - Inside IR35 in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with AWS, Terraform, and any AI/ML workloads you've supported. We want to see how you fit into our world!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about SRE/DevOps and how your background aligns with our needs. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Share specific examples of how you've implemented infrastructure as code or improved reliability in past roles. We’re keen to see your hands-on experience!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Mindera
✨Know Your Cloud Inside Out
Make sure you brush up on your AWS knowledge, especially around the services relevant to AI workloads. Be ready to discuss how you've designed and standardised cloud platforms in the past, and have examples of reusable infrastructure patterns you've implemented.
✨Showcase Your Automation Skills
Prepare to talk about your experience with Terraform and CI/CD pipelines. Have specific examples ready that demonstrate how you've enforced best practices through automation rather than just documentation. This will show your hands-on approach and technical expertise.
✨Emphasise Reliability and Observability
Be ready to discuss how you've embedded SRE principles in your previous roles. Talk about your experience with monitoring, logging, and alerting, and how you've continuously improved reliability and performance in production environments.
✨Demonstrate Your AI/ML Experience
Since this role involves supporting AI-driven products, be prepared to share your practical experience with AI/ML workloads. Discuss any model inference services or batch processing pipelines you've worked on, and highlight your understanding of the scaling characteristics and cost considerations involved.