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Senior Infrastructure/Automation Engineer - Contract (Sheffield, 3 Days On site)

Location: Sheffield (3 days on site per week)

Contract Duration: Fixed-term with potential for extension

Rates : 525/day Inside IR 35

Key Responsibilities :

We are seeking a Senior Infrastructure/Automation Engineer for an exciting contract opportunity with a prominent banking client in Sheffield. This role is ideal for an experienced professional with a strong background in automation and infrastructure management.

Automation - playbook

AAP Infrastructure side - Automation

Ansible Automation Platform
Scripting Languages Python

This is a fantastic opportunity to work on cutting-edge automation initiatives within a leading banking environment.

Apply today to join a team that values innovation, expertise, and collaboration.

GCS is acting as an Employment Business in relation to this vacancy.

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Azure Platform Engineer - Terraform / MLOps - Hybrid

Location: Hybrid (London / Remote - UK Based)
Start Date: ASAP
Duration: 6 months initial

Overview:

We are looking for a talented Azure Platform Engineer with solid data engineering and MLOps experience to join a forward-thinking data platform team. You will play a key role in building and optimising Azure-based infrastructure to support large-scale data and machine learning workloads.

This role sits at the intersection of DataOps, DevOps, and MLOps - ideal for engineers who thrive on automation, scalability, and cloud-native design.

Key Responsibilities:

Design, build, and maintain Azure data and ML platform infrastructureDevelop and manage CI/CD pipelines using Azure DevOps and TerraformAutomate provisioning and configuration of Azure resources (Data Factory, Synapse, Databricks, Key Vault, etc.)Implement MLOps best practices for model training, deployment, and monitoringCollaborate with Data Scientists, ML Engineers, and Platform teams to deliver robust, automated solutions

Essential Skills & Experience:

Azure Expertise:

Strong experience across Azure Data Services (ADF, Synapse, Databricks, Azure ML)Deep understanding of cloud networking, security, and governance

Infrastructure as Code (IaC):

Terraform - advanced use of modules, workspaces, and state managementAutomating resource deployment and scaling in enterprise Azure environments

MLOps / DataOps:

Azure ML, MLflow, or Databricks MLOps frameworksBuilding automated pipelines for model training and deploymentIntegration of CI/CD with data and ML workloads

Please send across an updated CV if this is of interest

GCS is acting as an Employment Business in relation to this vacancy.

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My client is looking for x2 DevOps Engineers with extensive experience in Ansible, Infrastructure as Code and Linux (ideally with some Windows).

Ansible - 5-10 years' experience - Experienced with architecting, running, building, configuring and optimizing Ansible platforms, using Ansible playbooks, using orchestration tools for deployment, and building processes around it. This person will be managing future growth and overall use of Ansible platform Infrastructure as Code - Experienced with managing IT Infrastructure through code, and able to build automation processes to setup infrastructure on Ansible platformLinux (80%) - Windows (20%) - Experienced with Linux platforms with some Windows knowledge Financial / Banking experience preferred

This role is 3 days a week on-site in Sheffield and inside IR35

Please apply if you have the required skillset

GCS is acting as an Employment Business in relation to this vacancy.

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About the Role:
Join an innovative technology team building the automation backbone behind next-generation intelligent systems. This position focuses on creating seamless deployment pipelines, scalable infrastructure, and observability solutions to support advanced machine learning and AI workloads. You'll play a key role in driving secure, cost-efficient, and high-performance environments that enable rapid experimentation and production readiness at scale.

Role: Senior AI Platform & Automation Engineer

Type: Permanent/Contract role

Location: Dublin, Ireland (Hybrid)

What You'll Do:

Design, implement, and maintain automated build and release pipelines to accelerate delivery cycles.Develop and manage infrastructure through code-driven provisioning and version-controlled configuration.Build and support container-based systems, optimizing workloads for compute-intensive AI applications.Implement automated security, policy compliance, and performance monitoring solutions.Integrate lifecycle automation for model training, testing, and deployment workflows.Optimize cloud environments for cost, scalability, and operational resilience.

What We're Looking For:

5-7+ years of hands-on experience in cloud automation, DevOps, or reliability engineering.Expertise with modern CI/CD tooling (must have Azure DevOps) and code-driven infrastructure management.Proven background in container orchestration and distributed system operations.Familiarity with machine learning platform automation and monitoring practices.Strong scripting and automation skills using one or more programming languages.Understanding of secure development practices, system observability, and infrastructure governance.Preferred certifications or experience in cloud platforms, container orchestration, or DevOps methodologies.

Nice to Have:

Exposure to GPU-based compute environments or performance-sensitive workloads.Experience with policy-driven automation and infrastructure compliance.Background in serverless architectures or distributed AI infrastructure design.

***No Sponsorship Available***

***Stamp 1G Dependent/Stamp 4/EU Citizen's can apply***

The Next Step for you: Should this position be of interest to you, please forward your CV to Pankaj Sharma at GCS Recruitment specialists at [email protected] or call on +353-46901-1902

GCS is acting as an Employment Agency in relation to this vacancy.

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Join a Global Leader Driving AI Innovation in IT Software!

We're partnering with a Dublin based, well-established global IT software company that is investing heavily in cutting-edge AI technology to transform how IT operations are managed.

This role seeks a highly skilled DevSecOps Engineer with strong security, automation, and cloud expertise, having have hands-on experience with Azure Devops, ideally in multi-cloud AWS/Azure/GCP, and security tools (SAST, DAST, Snyk, SonarQube).

With a large data foundation, this company is developing intelligent systems that autonomously detect and resolve complex issues-paving the way for the future of automation.

They are making significant R&D investments across multiple locations and building a leading AI engineering team in Ireland.

If you want to be part of an innovative, market-leading team working at the forefront of AI and enterprise software, let's have a chat!

GCS is acting as an Employment Agency in relation to this vacancy.

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Azure Platform Engineer - Data / Terraform / MLOps - Hybrid

Location: Hybrid (London / Remote - UK Based)
Start Date: ASAP
Duration: 6 months initial

Overview:

We are looking for a talented Azure Platform Engineer with solid data engineering and MLOps experience to join a forward-thinking data platform team. You will play a key role in building and optimising Azure-based infrastructure to support large-scale data and machine learning workloads.

This role sits at the intersection of DataOps, DevOps, and MLOps - ideal for engineers who thrive on automation, scalability, and cloud-native design.

Key Responsibilities:

Design, build, and maintain Azure data and ML platform infrastructureDevelop and manage CI/CD pipelines using Azure DevOps and TerraformAutomate provisioning and configuration of Azure resources (Data Factory, Synapse, Databricks, Key Vault, etc.)Implement MLOps best practices for model training, deployment, and monitoringCollaborate with Data Scientists, ML Engineers, and Platform teams to deliver robust, automated solutions

Essential Skills & Experience:

Azure Expertise:

Strong experience across Azure Data Services (ADF, Synapse, Databricks, Azure ML)Deep understanding of cloud networking, security, and governance

Infrastructure as Code (IaC):

Terraform - advanced use of modules, workspaces, and state managementAutomating resource deployment and scaling in enterprise Azure environments

MLOps / DataOps:

Azure ML, MLflow, or Databricks MLOps frameworksBuilding automated pipelines for model training and deploymentIntegration of CI/CD with data and ML workloads

Please send across an updated CV if this is of interest

GCS is acting as an Employment Business in relation to this vacancy.

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Are you looking for an exciting opportunity to join a leading and ambitious company based in Swords?
We are currently looking for a Senior DevOps/Platform Engineer role in Swords (hybrid, 1-2 days onsite) to join our client's team, on a full-time, permanent basis.

Brief Description:
This role is for a Senior AWS Platform/DevOps Engineer to lead the migration of services to AWS ECS using Terraform, GitHub Actions, and Datadog. The position involves designing and optimizing AWS multi-region architectures, maintaining CI/CD pipelines, and implementing observability with Datadog. .

GCS is acting as an Employment Agency in relation to this vacancy.

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Staff AI DevOps Engineer

About the Role
We're looking for a Staff AI DevOps Engineer to help build and scale the backbone of a next-generation AI platform for our client. This is a hands-on leadership role where you'll design and implement automation, CI/CD, and Infrastructure as Code (IaC) to enable secure, rapid deployment of intelligent agents and AI workloads at scale.

You'll be driving the adoption of modern DevOps, DevSecOps, and MLOps practices across the stack - ensuring infrastructure is reliable, observable, and cost-efficient while supporting continuous delivery of high-performance AI solutions.

What You'll Do

Design and manage CI/CD pipelines to accelerate delivery of AI platform components.

Implement Infrastructure as Code and GitOps workflows for scalable, reproducible environments.

Build and operate Kubernetes-based infrastructure, including GPU workload orchestration.

Integrate MLOps tooling to support the full AI lifecycle from training through deployment.

Deploy and maintain observability platforms for monitoring, tracing, and alerting.

Embed DevSecOps practices such as automated security scanning and compliance automation.

Optimize cloud environments for speed, resilience, and cost efficiency.

Desired Experience

Strong IaC experience (e.g., Terraform, CloudFormation).

Deep Kubernetes knowledge, including operators/controllers.

Hands-on experience with MLOps frameworks (e.g., Kubeflow, MLflow, Seldon Core, SageMaker, Vertex AI).

Proficiency with observability stacks

Solid background in cloud security automation and GitOps workflows.

This position is open to long term contract or permanent candidates.

GCS is acting as an Employment Business in relation to this vacancy.

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A recent degree in Computer Science, Software Engineering, or a related field.Strong analytical and problem-solving skills with a passion for understanding how systems work.Aptitude for investigating and learning complex IT systems and infrastructure.Familiarity with Microsoft Windows Server environments.Basic understanding of scripting or programming (e.g., PowerShell, Python, Bash).Experience with containerization or virtualization tools.Excellent communication and teamwork skills.A proactive and curious mindset with a willingness to learn and grow.

GCS is acting as an Employment Agency in relation to this vacancy.

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Role Overview
We are seeking a highly skilled Senior Reliability & Cloud Operations Engineer to ensure the reliability, security, and scalability of a large-scale SaaS platform hosted in the cloud. You will play a key role in maintaining 24/7 uptime, optimizing infrastructure, automating deployments, and resolving complex issues. The role requires deep cloud expertise, strong DevOps practices, and close collaboration with support and engineering teams. This is a permanent, full-time position in a fast-paced and dynamic environment.

Role type: Permanent role

Location: Dublin or Galway, Ireland (Once a week onsite)

Key Responsibilities

Manage and optimize cloud-based (AWS expert) infrastructure to ensure high availability, scalability, and cost efficiency.

Automate deployments and provisioning using modern CI/CD and Infrastructure as Code approaches.

Implement robust monitoring, logging, and alerting systems to improve visibility and reduce downtime.

Enforce security and compliance standards across systems and environments.

Lead incident response for critical outages, conduct root cause analysis, and maintain disaster recovery plans.

Partner with engineering teams to enhance system reliability, performance, and operational maturity.

Mentor junior engineers, contribute documentation, and share best practices.

Continuously evaluate and improve automation, tooling, and infrastructure design.

Required Skills & Experience

5+ years in cloud infrastructure (AWS) or reliability engineering roles.

Strong background in systems administration (Linux/Windows), networking, and scripting/automation (e.g., Python, Bash).

Hands-on experience with virtualization, container orchestration, and serverless platforms.

Proficiency with IaC, CI/CD pipelines, and configuration management tools.

Familiarity with observability platforms for monitoring, logging, and performance tracking.

Understanding of security principles, compliance frameworks, and vulnerability management.

Relevant cloud certifications are advantageous.

Strong problem-solving and troubleshooting abilities.

Comfortable working in a fast-paced, always-on SaaS environment.

Clear communicator, effective in cross-functional collaboration.

Proactive, detail-oriented, and able to work independently as well as in a team.

Nice to Haves

Experience in SaaS, B2B, or enterprise software environments.

Exposure to multi-region or large-scale distributed system architectures

***No Sponsorship Available***

***Stamp 1G Dependent/Stamp 4/EU Citizen's can apply***

The Next Step for you: Should this position be of interest to you, please forward your CV to Pankaj Sharma at GCS Recruitment specialists at [email protected] or call on +353-46901-1902

GCS is acting as an Employment Agency in relation to this vacancy.

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