At a Glance
- Tasks: Design and scale cloud platforms for AI-driven products in a collaborative environment.
- Company: Join Amach, a leading tech company revolutionising aviation with AI and cloud solutions.
- Benefits: Enjoy competitive salaries, flexible working, and great career advancement opportunities.
- Other info: Work in a dynamic team with a focus on innovation and inclusivity.
- Why this job: Make a real impact by optimising airline operations with cutting-edge technology.
- Qualifications: Strong AWS experience, Terraform expertise, and a passion for AI/ML workloads.
The predicted salary is between 60000 - 80000 € per year.
Amach is an industry-leading technology driven company with headquarters located in Dublin and remote teams in the UK and Europe. Our blended teams of local and nearshore talent are optimised to deliver high quality and collaborative solutions. Founded in 2013, Amach was created to solve a specific problem in aviation: too much complexity, too little usable intelligence. We help airlines modernise their operating model using cloud, data and AI delivered by teams with deep aviation domain expertise. Our goal is to maximise airlines' operational efficiency by optimising resource use, reducing costs and increasing customer experience and satisfaction.
We’re hiring a Senior SRE / Platform Engineer to design, build and scale cloud platforms that support a growing portfolio of AI-driven products and services. This role will play a key part in moving from early AI “lighthouse” initiatives into standardised, production-ready platforms, enabling teams to deliver AI workloads reliably, securely and at scale. The focus is on building opinionated, reusable infrastructure patterns and improving how services are deployed, operated, and monitored across multiple projects. This is a hands-on role with a strong architectural element – suited to someone comfortable owning platform decisions, driving consistency across teams and balancing flexibility with standardisation in a fast-paced environment. You’ll work closely with senior engineering and SRE leadership to improve platform capability, reliability and developer experience across the organisation.
Please note: the successful candidate will be required to go to our customers Central London office 2 days per week.
- Define and implement scalable, reusable architecture patterns for cloud-native and AI-enabled services (AWS)
- Establish shared infrastructure blueprints, modules, and templates across multiple projects
- Drive consistency in how services are deployed, integrated, and operated
Infrastructure as Code & Automation
- Build and manage Terraform-based infrastructure using modular, reusable design principles
- Define and improve CI/CD patterns for infrastructure, applications, and AI workloads
- Embed best practices through automation and platform tooling
Reliability, Observability & Operations
- Apply SRE principles across services (monitoring, logging, tracing, SLIs/SLOs)
- Improve system reliability, performance, and cost efficiency
- Support and operate API gateway/data plane technologies (e.g. Kong or similar)
AI Platform Enablement
- Support the deployment and operation of AI/ML workloads in production (e.g. inference services, pipelines, LLM integrations)
- Contribute to how AI workloads are scaled, monitored and optimised within the platform
Required skills
- Strong experience operating AWS-based platforms in production environments
- Proven expertise in Terraform, including modular design and CI/CD integrations
- Experience with container platforms (ECS preferred, EKS or similar also considered)
- Solid understanding of cloud networking, service discovery, and distributed systems
- Experience working across multiple teams or projects on shared platforms
- Strong troubleshooting and production support experience
- Practical experience supporting or running AI/ML workloads in production (e.g. inference services, pipelines, LLM integrations)
- Understanding of scaling and cost considerations for compute-heavy workloads
- Strong architectural thinking and ability to make pragmatic decisions
- Strong communication and stakeholder management skills
- Experience with API gateways (e.g. Kong or equivalent)
- Exposure to GPU workloads or specialised compute environments
- Familiarity with vector databases, feature stores, or embedding pipelines
- Knowledge of event-driven architectures
What’s in it for you
- An opportunity to join a fast-growing company
- Options for career advancement
- Learning and development opportunities
- Flexible working environment
- Competitive salaries based on experience
Equal Opportunity Employer
Amach is an equal opportunity employer and makes employment decisions on the basis of merit. We celebrate diversity and are committed to creating an inclusive environment for all employees. This job description is intended to convey essential responsibilities and qualifications for this role, but it is not an exhaustive list of tasks that an employee may be required to perform.
Senior SRE/Platform Engineer (AI Platforms) in London employer: Amach
Amach is an exceptional employer, offering a dynamic and inclusive work culture that prioritises employee growth and development. With a focus on innovation in AI and cloud technologies, employees benefit from flexible working arrangements, competitive salaries, and ample opportunities for career advancement within a fast-growing company. Located in Dublin with a collaborative remote team across the UK and Europe, Amach fosters a supportive environment where talent thrives and meaningful contributions are recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Senior SRE/Platform Engineer (AI Platforms) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Amach or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AWS, Terraform, or AI workloads. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on SRE principles and cloud architecture. Be ready to discuss how you’ve tackled challenges in past roles, especially around reliability and automation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Senior SRE/Platform Engineer (AI Platforms) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior SRE/Platform Engineer role. Highlight your experience with AWS, Terraform, and any AI/ML workloads you've managed. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. Don’t forget to mention your experience in building scalable cloud platforms.
Showcase Your Projects:If you've worked on relevant projects, make sure to include them in your application. We love seeing real-world examples of your work, especially if they involve infrastructure as code or AI-driven solutions.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Amach
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS, Terraform, and container platforms like ECS or EKS. Brush up on your knowledge of cloud networking and distributed systems, as these are crucial for the role. Be ready to discuss specific projects where you've applied these technologies.
✨Showcase Your Architectural Thinking
Prepare to talk about your experience with designing scalable, reusable architecture patterns. Think of examples where you’ve made pragmatic decisions that improved system reliability or performance. This will demonstrate your ability to balance flexibility with standardisation.
✨Communicate Clearly and Confidently
Strong communication skills are key, especially when working across multiple teams. Practice explaining complex technical concepts in simple terms. This will help you connect with interviewers and show that you can manage stakeholders effectively.
✨Demonstrate Your Problem-Solving Skills
Be ready to discuss troubleshooting experiences and how you’ve supported AI/ML workloads in production. Share specific challenges you faced and how you overcame them, highlighting your ability to improve system reliability and cost efficiency.
