Senior Platform Engineer - Dublin

Role Overview

We are hiring a hands-on Senior Platform Engineer to design, build, and evolve the AWS and Kubernetes platform that RapidRatings’ product squads, AI systems, and agents run on. Reporting to the Head of Platform & Cloud Engineering and working within the Platform & Cloud Engineering team, you own our EKS estate and infrastructure as code end to end.

You build the paved-road patterns, guardrails, and self-service tooling that let product squads ship quickly and securely. You make sure the platform is resilient, secure by default, and cost-efficient as it scales. Reliability matters here, but as an outcome of a well-engineered platform rather than the centre of the job.

What You'll Own

Kubernetes platform. Own the EKS cluster lifecycle end to end: provisioning, version upgrades, node management and autoscaling, ingress, cluster networking and network policy, RBAC, and multi-tenancy for product squads.

AWS foundations. Design and operate high-availability, multi-account, multi-region AWS infrastructure, including VPC and network design, IAM, and the core managed services our platform depends on.

Infrastructure as code. Author and maintain reusable Terraform or OpenTofu modules, manage state safely, and apply policy as code so infrastructure changes are consistent, reviewed, and repeatable.

Paved-road platform. Build and improve the golden paths, service templates, and GitOps-based delivery foundations that let product squads self-serve infrastructure and ship securely on top of the platform.

Security and compliance by default. Build secrets management, container image scanning and provenance, least-privilege access, and SOC 2 and ISO 27001 controls into the platform itself, rather than adding them afterwards.

Cost efficiency. Keep the platform cost-aware through rightsizing, sensible autoscaling strategy, and clear cost visibility for the teams using it.

AI infrastructure. Build and operate the compute and serving infrastructure for the model-serving, routing, and governance layer that our AI agents and copilots run on.

Operability. Make sure platform components ship with sensible default telemetry and alerting, take part in the on-call rotation, and contribute to blameless post-incident reviews.

What This Role Is Not

This is not application development. Product squads own their own build, test, and deployment on the paved road, using AI tooling on top of the platform you build. You strengthen the foundational platform, not application-level features or scripts for product teams.

This is also not primarily a monitoring or observability role. Most of your time goes into designing, building, and evolving infrastructure, not dashboards and alerting.

Qualifications & Technical Bar

Kubernetes. Expert-level, hands-on experience operating production Kubernetes, ideally EKS. This includes in-place cluster version upgrades, cluster networking (CNI, ingress, network policy), RBAC, Helm and operators, and troubleshooting at node and pod level.

AWS. Strong hands-on experience designing and running AWS environments at scale, including VPC design, IAM, multi-account setups, and the core compute, storage, and networking services.

Infrastructure as code. A track record of authoring and maintaining Terraform or OpenTofu modules that other teams consume, not only applying existing ones.

Platform engineering. Experience building self-service infrastructure, golden paths, or an internal developer platform, with configuration kept in source control under a GitOps approach.

Systems engineering. Strong Linux background and solid networking (TCP/IP, DNS, routing), running entirely in the cloud, with experience building and maintaining high-availability systems.

Software. Proficiency in Go or Python for building platform tooling such as CLIs, controllers, and automation, with Bash for day-to-day scripting.

Security-aware. Comfortable building security controls into infrastructure and working within SOC 2 and ISO 27001 requirements.

Ways of working. Experience in an agile or scrum process, with clear written and verbal communication across technical and non-technical colleagues.

Nice to Have

Reliability practice. Working knowledge of SLOs, SLIs, error budgets, capacity planning, and incident management.

Observability. Familiarity with tooling such as Datadog, Prometheus, Grafana, and OpenTelemetry, particularly for instrumenting platform components.

Application security tooling. Experience interpreting and remediating dependency, container, and DAST findings (for example ZAP).

AI-assisted operations. Exposure to AIOps or AI-assisted detection and remediation, or readiness to adopt AI tooling in day-to-day platform work.

Who You Are

• A builder at heart who enjoys designing infrastructure as much as running it, and who digs past symptoms to root cause.
• You treat the platform as a product and product squads as your customers, caring about how easy it is to use as much as how well it runs.
• You treat AI as a strong collaborator, using it to improve the platform and the developer experience across the group, not only your own output.
• You take ownership and carry work through to completion, working to the standards, designs, and reviews set across the function.
• You communicate clearly across every tier and stay calm and positive under pressure, including during production incidents and against tight deadlines.

Role Shape

Balance: a hands-on individual-contributor role focused on designing, building, and operating the cloud platform, including a share of the on-call rotation, rather than people management.

Scope: part of the Platform & Cloud Engineering team, reporting to the Head of Platform & Cloud Engineering, with no direct reports.

Our Values

Integrity, Innovation, Accountability, Resilience, Community.

Some of Our Benefits

• Health insurance via RapidRatings with a generous allowance.
• Workplace pension with matched contributions up to 5%.
• 25 days of paid time off (PTO).

Pay Transparency Statement (Ireland)

In line with the EU Pay Transparency Directive, we are committed to openness about compensation.

Salary Range: €80,000 to €100,000 base salary (Dublin, Ireland)

The salary offered to the successful candidate is determined by objective criteria including relevant experience and skills, level of responsibility, demands of the role, and business need. As part of the total compensation package, this role may also be eligible for performance bonus and other benefits.