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Experis; Sheffield; On-site; GBP 80,000 - 110,000; Part time

Job summary

Experis is seeking a contract-based Cloud Engineer to build, deploy and manage components of a client''s Google Cloud Platform foundation. The role emphasizes automation-first engineering, security controls and scalable delivery pipelines.

You will implement IaC with Terraform and Config Connector, configure CI/CD with Cloud Build, FluxCD and Helm, and ensure alignment with central Cloud Security Standards. The contract runs until 31/07/2027 and is UK-based.

Qualifications

• Hands-on experience building and operating GCP services in production.
• Strong security principles and IAM, logging, networking knowledge on GCP.
• Experience with Infrastructure as Code (Terraform and Config Connector).
• Experience implementing CI/CD and security-integrated delivery (FluxCD/Helm).
• Excellent communication and stakeholder management skills.

Responsibilities

• Build, deploy and manage components of the client's GCP foundation platform using Google Cloud services and automation-first engineering practices.
• Engineer repeatable platform and security capabilities using IaC (Terraform and Config Connector).
• Implement and enhance preventive security controls and guardrails to improve cloud security posture.
• Integrate, configure, deploy and manage IAM, networking, logging/monitoring, OS and container platforms.
• Embed security into delivery pipelines by building and supporting CI/CD and testing (Cloud Build, FluxCD, Helm).
• Ensure alignment with Cloud Security Standards and contribute to auditability with evidence and controls mapping.
• Operate within change management practices with impact assessments and traceable deployments.
• Maintain operational docs, runbooks and support procedures for sustainable operations.

Skills

GCP experience

DevOps / SRE

Automation / IaC

CI/CD tooling

Scripting (Python/Go/Bash)

Security and compliance

Communication skills

Risk management

Kubernetes security

Tools

Terraform

Config Connector

FluxCD

Helm

Cloud Build

GKE

BigQuery

Cloud Run

Job description

Duration: contract to run until 31/07/2027

Key responsibilities will include:

• Build, deploy and manage components of the client's GCP foundation platform using Google Cloud services (e.g., GKE, BigQuery, Cloud Build, Cloud Run) and automation-first engineering practices.
• Engineer repeatable platform and security capabilities using Infrastructure as Code (IaC), such as Terraform and/or Config Connector, following established engineering standards.
• Implement and enhance preventive security controls and guardrails centrally to improve overall cloud security posture and reduce operational risk.
• Integrate, configure, deploy and manage common cloud services across IAM, networking, logging/monitoring, operating systems and container platforms.
• Embed security into delivery pipelines by building and supporting CI/CD and continuous testing capabilities (e.g., Cloud Build, GitOps tooling such as FluxCD, Helm).
• Ensure alignment and compliance with centrally defined Cloud Security Standards and contribute to auditability through evidence, controls mapping and documentation.
• Operate within agreed change management practices, producing impact assessments where required and ensuring controlled, traceable deployments.
• Maintain high-quality operational documentation, runbooks and support procedures to enable sustainable operations and effective handover.
• What you need to have to succeed in this role:
• The ideal candidate for this role will have the following experience and capabilities:
• Hands-on, demonstrable experience on GCP building and operating cloud services in production (hands-on GCP experience is essential).
• Strong experience with core GCP services; exposure to GKE, BigQuery, Cloud Build and/or Cloud Run is highly desirable.
• Expert understanding of cloud security principles and GCP-specific best practices, including IAM design, logging/monitoring, network security controls and workload security.
• Strong understanding of DevOps/SRE principles, including reliability, observability, incident response supportability and engineering for resilience.
• Proven experience implementing Infrastructure as code using Terraform (and/or Config Connector), including module design, environments, policy-driven controls and automated deployment patterns.
• Experience building and operation CI/CD and related tooling (e.g., Cloud Build, GitOps, FluxCD, Helm) with security controls embedded into delivery workflows.
• Good programming/scripting skills in at least one of: Python, Go, Bash, with practical mindset for automation and operational tooling.
• Security and compliance experience, including auditability, control evidence, configuration management and the ability to work with compliance/auditing/monitoring tooling.
• Strong communication and stakeholder management skills, with the ability ot explain complex technical topics clearly to engineers and non-engineers.
• A solid understanding of risk management and proven experience ensuring compliance with relevant regulatory and internal control requirements.
• Essential skills:
• Building secure and compliant GCP capabilities using automation-first approaches.
• Implementing and operating preventive controls and guardrails at scale.
• Strong troubleshooting capability across cloud infrastructure, Kubernetes/container platforms and CI/CD pipelines.
• Ability to drive continuous improvement, simplify operational processes and resuce oil through automation.
• GCP certifications (e.g., Professional Cloud Security Engineer, Professional Cloud DevOps Engineer, Professional Cloud Architect).
• Experience operation regulated workloads in a large enterprise environment.
• Experience with container security patterns and Kubernetes hardening approaches.
• Familiarity integrating security findings and policy checks into DevSecOps workflows and reporting.

All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!