Senior SRE/Platform Engineer (AI Platforms)

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.

Responsibilities

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

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

Amach is an industry-leading technology driven company with headquarters located in Dublin and remote teams in 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 Al-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.