At a Glance
- Tasks: Design and build scalable cloud platforms for AI-driven products.
- Company: Join Amach, a leading tech company revolutionising aviation with AI.
- Benefits: Flexible working, competitive salary, and great career advancement opportunities.
- Other info: Collaborative environment with a focus on learning and development.
- Why this job: Make a real impact in the AI space while working with cutting-edge technology.
- Qualifications: Strong AWS experience, Terraform expertise, and a passion for AI 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) employer: Amach
Amach is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to engage in cutting-edge AI and cloud technologies within the aviation sector. With a strong emphasis on career advancement and continuous learning, team members benefit from flexible working arrangements and competitive salaries, all while contributing to meaningful projects that enhance operational efficiency for airlines. Located in Dublin with a collaborative remote team across the UK and Europe, Amach provides a unique opportunity to be part of a fast-growing company at the forefront of technological innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Senior SRE/Platform Engineer (AI Platforms)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Amach. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with relevant projects, make sure to share it. It’s a great way to demonstrate your expertise in AWS and Terraform.
✨Tip Number 3
Prepare for the interview by brushing up on SRE principles and AI workloads. Be ready to discuss how you’d tackle real-world challenges at Amach.
✨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, we love seeing candidates who take that extra step.
We think you need these skills to ace Senior SRE/Platform Engineer (AI Platforms)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior SRE/Platform Engineer. Highlight your experience with AWS, Terraform, and any AI/ML workloads you've managed. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how you can contribute to our mission at Amach. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Problem-Solving Skills:In your application, share examples of how you've tackled complex challenges in previous roles. We love seeing candidates who can think critically and come up with innovative solutions, especially in fast-paced environments like ours.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy!
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 Problem-Solving Skills
Prepare examples of how you've tackled complex issues in production environments. Highlight your troubleshooting experience and how you've improved system reliability and performance. This will demonstrate your hands-on approach and architectural thinking.
✨Understand AI Workloads
Since the role involves supporting AI/ML workloads, be prepared to discuss your experience with inference services and pipelines. Familiarise yourself with scaling and cost considerations for compute-heavy workloads, as this will be a key part of the conversation.
✨Communicate Effectively
Strong communication skills are essential, especially when working across multiple teams. Practice articulating your thoughts clearly and concisely. Be ready to discuss how you've managed stakeholder relationships and driven consistency in previous roles.
