Cloud Infrastructure/Engineer

Job Description

Role Overview

We are seeking a Cloud Infrastructure/Engineer with strong expertise in AWS cloud infrastructure, containerised platforms, and Azure DevOps CI/CD pipelines. The successful candidate will focus on improving system reliability, availability, performance, and scalability while enabling engineering teams to deliver high-quality services efficiently.

This role combines engineering and operational excellence, focusing on automation, observability, scalability, and resilience across cloud-native environments. As a Cloud Engineer, you will drive engineering-led solutions to reduce operational toil, enhance system reliability, and promote DevOps and SRE best practices.

Note: This is a reliability-focused engineering role with on-call responsibilities and involvement in platform modernisation initiatives.

Key Responsibilities

• Design, implement, and manage highly available and scalable infrastructure on AWS.
• Build, maintain, and optimise DevOps Pipelines (CI/CD) for automated build, test, and deployment processes.
• Implement end-to-end CI/CD workflows, including multi-stage pipelines, approvals, and release strategies.
• Manage and support Windows (IIS, .NET) and Linux-based production systems.
• Deploy, manage, and optimise containerised applications using Docker and Kubernetes (EKS/AKS).
• Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or ARM
• Develop and maintain automation scripts using PowerShell, Bash, or Python.
• Define and monitor SLIs, SLOs, and SLAs to ensure system reliability.
• Implement robust monitoring, logging, and alerting solutions (CloudWatch, Prometheus, Grafana, Azure Monitor).
• Lead incident management, troubleshooting, and root cause analysis (RCA) for production issues.
• Drive performance tuning and capacity planning for applications and infrastructure.
• Collaborate with development teams to improve deployment strategies (blue-green, canary releases).
• Ensure security, compliance, and best practices across CI/CD pipelines and infrastructure.

Qualifications

Required Skills & Experience

• 5-7 years of experience in Site Reliability Engineering / DevOps / Infrastructure Engineering
• Strong hands-on experience with AWS services (EC2, S3, RDS, VPC, IAM, ELB, Auto Scaling, CloudWatch)
• Deep expertise in Azure DevOps Pipelines (CI/CD), including YAML pipelines and release automation
• Experience designing multi-stage pipelines and deployment strategies
• Expertise in Windows Server administration, including IIS and .NET application support
• Strong experience with Linux system administration
• Hands-on experience with Docker and Kubernetes (EKS/AKS)
• Experience with Infrastructure as Code (Terraform, CloudFormation, or ARM templates)
• Strong scripting skills in PowerShell (mandatory) and Bash/Python
• Experience with monitoring and logging tools (Prometheus, Grafana, ELK, CloudWatch)
• Solid understanding of networking, security, and cloud architecture principles

Preferred Qualifications

• Experience with hybrid cloud or multi-cloud environments
• Knowledge of Active Directory, Group Policy, and enterprise Windows environments
• Familiarity with Helm, GitOps practices, or service mesh technologies
• Experience with performance testing and tuning
• Relevant certifications (AWS)
• Preferred (not mandatory):
  • Azure DevOps
• Nice-to-have:
  • Kubernetes
  • Advanced SRE practices (SLIs/SLOs, observability)

Key Competencies / Characteristics

• Reliability-driven: Focused on uptime, performance, and system resilience
• Automation-first mindset: Continuously reduces manual effort and operational toil
• Ownership mentality: Takes end-to-end responsibility from design through production
• Strong communicator: Clearly articulates incidents, RCA outcomes, and technical concepts
• Collaborative: Works effectively with platform, security, and application teams
• Mentorship mindset: Actively supports and develops junior team members
• Continuous learner: Keeps up with evolving SRE practices and cloud-native technologies

Additional Information

D&I statement