Cloud Infrastructure Engineer III

Astreya; Ireland; Remote; EUR 71,000 - 89,000; Full time

Job summary

Astreya is seeking a Cloud Infrastructure Engineer III for a remote Ireland role. You will own RCA for P1/P2 incidents, build Terraform-based IaC, and drive DR testing and cost optimization across AWS and Azure.

You’ll mentor engineers, document runbooks, and ensure security baselines are followed. The position requires 4–7 years in cloud infra or SRE, strong scripting skills, and the ability to relocate India → Ireland.

Qualifications

• 4–7 years of cloud infrastructure, DevOps, or site reliability engineering experience.
• Experience with AWS and Azure.
• Terraform IaC experience.
• Scripting in Python or Go.
• Networking and cloud security fundamentals.
• Docker and Kubernetes experience.
• Experience with monitoring/observability tools (Datadog, Prometheus, Grafana, CloudWatch).
• Experience leading RCA and incident response for production systems.
• Excellent written communication and runbook development skills.
• Willingness to relocate for India then Ireland assignment.

Responsibilities

• Lead root-cause analysis (RCA) for P1/P2 incidents across AWS and Azure cloud infrastructure.
• Build and maintain infrastructure-as-code modules (Terraform) and CI/CD components.
• Own disaster recovery testing and backup validation for assigned systems.
• Support reliability and performance with advanced monitoring and on-call rotation.
• Drive incident response, document findings, and lead post-incident reviews.
• Apply cloud security best practices in collaboration with security teams.
• Mentor junior engineers on IaC, runbooks, and troubleshooting.
• Maintain audit-ready documentation and reference architectures.

Skills

Python

Go

AWS & Azure

RCA/Incident Response

Networking fundamentals

Cloud security basics

SRE/DevOps

Documentation

Tools

Terraform

Docker

Kubernetes

Datadog

Prometheus/Grafana

CloudWatch

Job description

## Cloud Infrastructure Engineer IIIApply: Remote, Ireland: Full time: Posted Today: R0018185**Key Responsibilities*** Lead root-cause analysis (RCA) for P1/P2 incidents on assigned cloud infrastructure (compute, storage, networking, identity) across AWS and Azure* Build and maintain infrastructure-as-code modules (Terraform preferred) and CI/CD pipeline components, extending established patterns and standards* Own disaster recovery (DR) testing and backup validation for assigned systems* Support reliability and performance for assigned systems: advanced monitoring, alert response, and on-call rotation* Drive incident response and technical troubleshooting, documenting findings and leading post-incident reviews and evidence generation* Apply and help enforce cloud security best practices (IAM/RBAC, least privilege, network segmentation, encryption) in partnership with security teams* Lead evaluation and proof-of-concept testing of new tools and services* Support application and platform teams with migrations, service onboarding, and scaling requests, taking a more active design role than junior engineers* Drive cost optimization (FinOps) efforts on owned components, including rightsizing, waste identification, and cost-anomaly follow-up* Mentor Cloud Infrastructure Engineer I/II staff on troubleshooting, IaC practices, and runbook execution* Maintain and improve runbooks and documentation for owned systems, including audit-ready evidence for GxP-relevant workloads* Ensure adherence to approved reference architectures, security baselines, and tagging conventions for all provisioned resources* Contribute to architecture alignment discussions and escalate structural or design-level concerns to the Cloud Ops Lead**Required Qualifications*** 4-7 years of experience in cloud infrastructure, DevOps, or site reliability engineering roles* Working experience with both AWS and Azure* Strong experience with infrastructure-as-code (Terraform preferred)* Proficiency in at least one scripting/programming language (Python, Go, or similar) for automation tasks* Solid understanding of networking fundamentals (VPCs/VNets, DNS, load balancing) and cloud security principles* Experience with containerization (Docker) and orchestration (Kubernetes)* Experience with monitoring and observability tooling (Datadog, Prometheus/Grafana, CloudWatch, or similar)* Experience leading RCA and incident response for production systems* Clear written communication skills; able to document work, lead runbook development, and drive established change control processes* Ability to work independently on complex tasks while mentoring junior team members* Willingness and ability to relocate per the assignment schedule (India for 3 months, then Ireland for 9 months), including any associated visa/work authorization requirements**Preferred Qualifications*** AWS Certified Solutions Architect – Professional, Microsoft Certified: Azure Administrator Associate, or equivalent* Terraform Associate certification* Certified Kubernetes Administrator (CKA)* Experience in a nonprofit, foundation, or highly regulated (GxP, HIPAA) environment with data governance and audit-readiness requirements**Success Criteria**Assigned components consistently meet or exceed defined SLAs/SLOs for uptime and performance. Independently resolves complex incidents and drives RCA with minimal senior review. Mentorship of junior engineers is evident in their growing independence. Contributes to cost optimization and DR readiness targets. Maintains audit-ready documentation and evidence for owned systems throughout the India-to-Ireland transition.**Salary Range**70,800.00 - 88,500.00 EUR (Annual)* *Please note that the salary information provided herein is base pay only (gross); it does not include other forms of compensation which may or may not apply to this specific position, namely, performance-based bonuses, benefits-related payments, or other general incentives - none of which are guaranteed, may be subject to specific eligibility requirements, and are wholly within the discretion of Astreya to remit.** *Further, the salary information noted above is a range that consists of a minimum and maximum rate of pay for this specific position. Where an applicant or employee is placed on this range will depend and be contingent on objective, documented work-related considerations like education, experience, certifications, licenses, preferred qualifications, among other factors.*