Headfirst-B.v.

Building scalable cloud platforms that power data, applications and business growth At HeadFirst x Impellam, we are building a modern, cloud native platform landscape that enables data driven products, scalable applications and seamless integrations across our international organisation. As a Cloud Engineer, you play a critical role in how applications run, scale and connect within our multi cloud environment. You work at the intersection of platform foundations, application teams and data capabilities, turning cloud services into reliable, production ready building blocks. Your impact You contribute directly to the architecture that underpins our digital ecosystem. By shaping how workloads are designed and operated, you enable teams to build secure, scalable and resilient applications across Azure and AWS. You work within a platform environment where data and applications are deliberately decoupled. Our Headless Data Architecture, built on Azure and Databricks, exposes data through well defined interfaces, events and APIs. Surrounding this, a growing landscape of custom applications and integrations connects HR systems, vendor platforms and internal products. Your role sits at the centre of this ecosystem. You enable application teams to adopt cloud native patterns, integrate with the data platform and operate reliably at scale. From observability and deployment strategies to cost optimisation and governance, your engineering decisions shape platform consistency, reliability and long term scalability. What you will do Design and support cloud native application runtimes across Azure and AWS with a strong PaaS first approach Enable development teams to build scalable, secure and well integrated workloads using Azure platform services Shape integration patterns between applications, external systems and the data platform using APIs and events Improve performance, resilience and reliability of workloads running on both PaaS and selected IaaS components Support event driven and API based architectures across the application landscape Establish observability practices covering logging, metrics and monitoring Work closely with platform and cloud engineers to align workloads with security, networking and governance standards Contribute to CI/CD and deployment patterns including blue green, canary and rollback strategies Provide guidance on cost aware design and consumption of cloud services Help standardise how applications are deployed, integrated and operated across teams About the role You join an international platform team responsible for enabling modern engineering across HeadFirst x Impellam. The environment is transformation driven, with a strong focus on platform engineering, cloud enablement and data integration. You work with Azure, AWS and Databricks in a setup where engineering decisions have direct business impact and long term architectural significance. What you bring You combine hands on cloud engineering experience with a strong understanding of how applications behave in production environments. You are comfortable operating close to development teams while maintaining a platform wide perspective. Professional experience working with Microsoft Azure as a primary cloud platform Familiarity with AWS in a multi cloud context Hands on experience with Azure PaaS services such as App Service, Container Apps, Functions and API Management Background in designing and operating distributed, cloud native application architectures Solid understanding of event driven systems and messaging patterns Experience with Windows based workloads hosted on cloud infrastructure Knowledge of CI/CD pipelines and deployment automation Working understanding of infrastructure as code practices Ability to translate functional requirements into scalable and reliable cloud solutions What you offer as a professional A pragmatic engineering mindset that balances architectural quality with delivery speed Ownership in how workloads perform, scale and evolve Clear communication across platform and application teams A collaborative approach in complex technical environments Curiosity and drive to continuously improve platforms and engineering practices

Enable scalable engineering workflows across our global AI and data platform Are you a Platform Engineer who enjoys building scalable internal platforms, improving developer experience and enabling engineering teams through automation and standardisation? Do you thrive in modern cloud-native environments where CI/CD, observability and self-service engineering are central to the platform strategy? We are looking for a Platform Engineer to join the Global Platform Team at HeadFirst x Impellam Group. In this role, you will design, build and evolve the platform capabilities that enable teams to efficiently develop, deploy and operate workloads across our Headless Data Architecture (HDA) and Custom Apps Infrastructure (CA). Your impact As a Platform Engineer, you play a key role in shaping the engineering foundations behind our global Workforce-as-a-Service (WaaS) platform. You work at the intersection of cloud infrastructure, platform engineering and developer enablement ensuring teams can build and operate scalable workloads without needing deep expertise in the underlying infrastructure. You contribute directly to our Headless Data Architecture (HDA), a modular and API-first platform built on Azure and Databricks, as well as the surrounding Custom Apps Infrastructure (CA) that powers integrations, applications and operational workflows across the organisation. A core part of your role is creating reusable engineering standards and self service platform capabilities. You design golden paths for CI/CD, deployment workflows, observability and infrastructure provisioning, helping teams accelerate delivery while maintaining consistency, scalability and reliability. You collaborate closely with Cloud Engineers, Data Engineers, AIOps Engineers and development teams across the organisation to simplify platform operations and continuously improve the developer experience. At the same time, you contribute to building a scalable and future proof engineering ecosystem embedding automation, observability and operational excellence into the platform from day one. What you will do Define and implement golden paths for engineering workflows, including data pipelines, APIs and AI workloads Build and maintain self service platform capabilities such as templates, automation and onboarding flows Standardise CI/CD workflows and engineering tooling across teams Collaborate with Cloud Engineers to abstract infrastructure complexity into reusable platform patterns Integrate observability capabilities including logging, metrics and distributed tracing using Grafana and OpenTelemetry Implement alerting and operational feedback loops to improve platform reliability Support engineering teams in adopting platform standards and best practices Improve developer experience by reducing friction in build, test and deployment processes Maintain and evolve platform tooling, deployment workflows and automation capabilities Contribute to incident resolution and continuous platform reliability improvements Collaborate with AIOps Engineers to improve AI evaluation and operational workflows on Databricks About the role You will be part of a growing Global Platform Team that is central to the transformation of HeadFirst x Impellam into a scalable, AI powered and cloud native organisation. Working with technologies such as Azure, Databricks, GitHub Actions, Grafana and OpenTelemetry, you help build the engineering platform that enables teams across Cloud, Data and AI to deliver solutions faster and more reliably. This role offers a strong combination of platform engineering, developer enablement and exposure to modern cloud native engineering practices in a highly collaborative international environment. What you bring You are a hands on Platform Engineer with a strong technical foundation and a pragmatic mindset for building scalable internal engineering platforms. 3 to 5+ years of hands on experience in platform engineering, DevOps or cloud engineering roles Strong experience with CI/CD tooling such as GitHub Actions or Azure DevOps Experience with Azure platform services such as App Services, Azure Container Apps, Functions and API Management Experience designing reusable deployment pipelines and engineering templates Familiarity with Infrastructure as Code practices using Terraform or CDK Strong understanding of GitOps workflows and deployment strategies Experience with observability tooling such as Grafana and OpenTelemetry Experience with automation and scripting using Python, Bash or similar technologies Familiarity with Databricks deployment workflows and platform integrations Understanding of event driven and API based architectures Experience with secure software supply chain practices and dependency management Familiarity with SnapLogic or similar integration platforms is a plus What you offer as a professional Strong communication skills, able to translate platform capabilities into practical engineering solutions A developer first mindset focused on usability, simplicity and self service A structured and quality driven approach to engineering and standardisation A collaborative mindset, working effectively across Cloud, Data and AI teams A pragmatic approach to balancing flexibility and platform governance A strong drive to continuously improve engineering workflows and developer experience Curiosity about modern platform engineering and AI enabled development practices

Headfirst-B.v. is looking for an Azure Cloud Engineer to join our Global Platform Team in Greater London. You will design, build, and maintain scalable cloud infrastructure for our global Workforce-as-a-Service platform, supporting data and AI integration. Ideal candidates have 2-5+ years of Azure experience, strong Infrastructure-as-Code skills, and are passionate about cloud security and governance. This role offers the opportunity to work in a collaborative, cloud-native environment focused on innovation and growth.

Overview Build and scale the cloud foundation behind our global AI and data platform Are you an Azure Cloud Engineer who enjoys designing scalable cloud foundations and enabling engineering teams through secure, reusable infrastructure patterns? Do you thrive in modern cloud-native environments where automation, governance and platform scalability are central to the engineering strategy? We are looking for an Azure Cloud Engineer to join the Global Platform Team at HeadFirst x Impellam. In this role, you will design, build and maintain the cloud infrastructure foundation that enables our Headless Data Architecture (HDA) and Custom Apps Infrastructure (CA) to operate securely and at global scale. Your impact As an Azure Cloud Engineer, you play a key role in shaping the cloud foundation behind our global Workforce-as-a-Service (WaaS) platform. You work on the infrastructure layer that supports our data, AI and platform engineering capabilities across multiple regions. You contribute directly to our Headless Data Architecture (HDA), a modular and API-first data platform built on Azure and Databricks, as well as the surrounding Custom Apps Infrastructure (CA) that powers integrations, applications and operational workflows across the organisation. A core part of your role is designing scalable, secure and reusable Azure infrastructure patterns. You define and implement multi-region cloud architectures, standardise Infrastructure-as-Code practices and ensure teams can efficiently operate on a governed and future-proof platform. You collaborate closely with Platform Engineers, AIOps Engineers and Data Engineers to ensure that networking, security, storage and cloud operations fully support the scalability and reliability of the global data and AI platform. At the same time, you contribute to building a secure-by-default engineering ecosystem by embedding governance, identity management, disaster recovery and operational standards into every layer of the cloud platform. What you will do Define and implement scalable multi-region Azure architecture patterns Design and manage Azure networking including hub-spoke architectures, private connectivity and hybrid networking Standardise resource organisation, tagging strategies and landing zone governance Own Azure identity and access management including RBAC and managed identities Define and enforce policy-as-code and cloud governance standards Build and maintain reusable Terraform modules and infrastructure provisioning patterns Enable engineering teams through self-service cloud infrastructure capabilities Ensure secure connectivity between Databricks environments, integrations and global systems Monitor and optimise cloud costs across storage, networking and compute workloads Collaborate with Platform Engineers and Data Engineers on Databricks optimisation and operational improvements Define and implement backup, failover and disaster recovery strategies Support onboarding of teams onto standardised Azure platform patterns Implement secure-by-default capabilities such as Key Vault integration, private endpoints and network isolation About the role You will be part of a growing Global Platform Team that is central to the transformation of HeadFirst x Impellam into a scalable, AI-powered and cloud-native organisation. Working with technologies such as Azure, Databricks and Terraform, you help build the cloud infrastructure foundation that enables Data, AI and Platform Engineering teams to operate efficiently and securely at global scale. This role offers a strong combination of cloud engineering, infrastructure architecture and exposure to modern platform engineering practices in an international environment. What you bring 2-5+ years of hands-on experience in Azure cloud engineering or infrastructure roles Strong experience with Azure platform services and Infrastructure-as-Code practices Experience with Terraform or Bicep for reusable infrastructure provisioning Strong understanding of Azure networking concepts including hub-spoke, private networking and zero-trust principles Experience with Azure identity and access management, RBAC and managed identities Familiarity with Azure Policy and governance frameworks Experience with Azure PaaS services such as App Services, Functions and API Management Experience with integration patterns using Azure Service Bus, Event Grid or Logic Apps Familiarity with multi-region and multi-subscription Azure environments Experience with infrastructure deployment pipelines such as GitHub Actions or Azure DevOps Understanding of how data and AI platforms consume cloud infrastructure Familiarity with Databricks networking and workspace deployments is a plus Experience with observability tooling, Kubernetes or FinOps practices is a plus What you offer as a professional Strong communication skills and the ability to translate platform requirements into scalable cloud solutions A foundation-first mindset focused on scalability, governance and security A structured and quality-driven approach to infrastructure and architecture A collaborative mindset, working effectively across Platform, Data and AI teams A pragmatic approach to balancing engineering standards with operational flexibility A strong drive to continuously improve cloud engineering capabilities and platform reliability Curiosity about modern cloud-native architectures and AI-enabled engineering environments