Client infrastructure engineer - Android/iOS

🏢 Summary: The role focuses on building and evolving core platform services to support engineering teams, emphasizing scalable cloud-native solutions, developer experience, and automation. It involves designing shared services, advancing CI/CD and Infrastructure as Code practices, and integrating AI-powered tools and LLM-based solutions. The position also promotes DevOps and SRE standards to ensure reliability and operational excellence in production environments. 🗂️ Requirements: 8+ years of experience delivering production-grade software solutions, Strong proficiency in Python, Experience with Kubernetes and containerized environments, Experience with distributed systems, Knowledge of REST and gRPC service development, Experience with cloud-native architectures, Hands-on experience with Infrastructure as Code tools, Familiarity with AI tooling and LLM-based applications, Ability to support production systems and incident response 📃 Skills: Python, Kubernetes, Docker, REST, gRPC, Terraform, CI/CD, LLM, AI, DevOps, SRE, Cloud, Automation 🏢 Description: We are looking for a Senior Platform Engineer to help build and evolve the core technology platforms that support our engineering organization. This role focuses on developing scalable software solutions, improving developer experience, and driving cloud-native engineering practices across the business. Working closely with engineering, cloud, and operations teams, you will contribute to platform architecture, automation initiatives, and the adoption of modern development and reliability practices. Key Responsibilities • Design and maintain shared platform services and engineering tools used across multiple teams. • Develop and enhance internal platforms, including authentication, developer tooling, and infrastructure services. • Build AI-powered solutions leveraging LLMs, intelligent agents, and automation technologies. • Contribute to engineering standards, architectural guidelines, and reusable frameworks. • Improve software delivery through CI/CD, automation, and Infrastructure as Code. • Promote DevOps and SRE practices, including observability, monitoring, and operational excellence. • Support production systems through incident response and reliability improvements. Required Qualifications • 8+ years of experience delivering software solutions in production environments. • Strong programming skills in Python; experience in other languages like Java, C#, C++, Go or others, nice to have • Experience with Kubernetes, containers, and distributed systems. • Knowledge of REST and gRPC service development. • Experience with solution architecture and cloud-native technologies. • Familiarity with AI tooling, agent-based frameworks, and LLM-powered applications. • Hands-on experience with Infrastructure as Code tools such as Terraform. • Strong communication and technical documentation skills.

🏢 Summary: The offer is for a Platform Engineer to build and operate an Internal Developer Platform that enables self-service capabilities, deployment automation, and standardized software delivery. The role focuses on designing scalable platform components, implementing CI/CD and GitOps workflows, and enhancing developer experience across engineering teams. It involves driving cloud-native infrastructure, automation, and observability practices to accelerate application development. 🗂️ Requirements: 3–7+ years in Platform Engineering, DevOps, SRE, or Software Engineering, Hands-on experience with Kubernetes and Docker, Experience with Infrastructure as Code using Terraform, Experience building CI/CD pipelines, Experience with GitOps deployment processes, Programming skills in Go, Python, or Java, Experience with developer portals and service catalogs, Understanding of cloud-native architectures and automation principles, Polish language proficiency, English C1+ proficiency 📃 Skills: Kubernetes, Docker, Terraform, CI/CD, GitOps, Helm, ArgoCD, Go, Python, Java, Backstage, OpenTelemetry, Prometheus, Grafana, AWS, Azure, GCP 🏢 Description: Role Overview We are looking for a Platform Engineer to help build and operate an Internal Developer Platform (IDP) that empowers engineering and scientific teams through self-service capabilities, infrastructure abstraction, and deployment automation. In this role, you will be responsible for creating a scalable and developer-friendly platform that simplifies software delivery, standardizes engineering practices, and accelerates application development across the organization. You will work closely with development teams to improve developer experience, streamline onboarding, and provide reusable tools, templates, and deployment patterns. Key Responsibilities Design, develop, and maintain core Internal Developer Platform components, including developer portals, service catalogs, and service templates. Build and manage CI/CD pipelines, GitOps workflows, and deployment automation using Kubernetes, Helm, and ArgoCD. Develop and maintain reusable SDKs, templates, and “golden paths” that enable teams to rapidly deploy and operate services. Integrate observability, monitoring, and distributed tracing capabilities into platform services using tools such as OpenTelemetry, Prometheus, and Grafana. Partner with engineering teams to onboard applications and continuously improve the developer experience. Drive platform standardization, automation, and best practices across the software development lifecycle. Contribute to the evolution of cloud-native infrastructure and self-service engineering capabilities. Requirements 3–7+ years of experience in Platform Engineering, DevOps, Site Reliability Engineering, or Software Engineering. Strong hands-on experience with Kubernetes, Docker, and containerized environments. Solid knowledge of Infrastructure as Code, particularly Terraform. Experience building and maintaining CI/CD pipelines and GitOps-based deployment processes. Programming experience in Go, Python, or Java. Experience with developer portals, service catalogs, and self-service engineering platforms. Strong understanding of cloud-native architectures, automation, scalability, and reliability principles. Able to speak Polish and Engilsh C1+ Nice to Have Experience with Backstage or similar Internal Developer Platform solutions. Knowledge of observability and monitoring tools such as OpenTelemetry, Prometheus, and Grafana. Experience working with public cloud platforms (AWS, Azure, or GCP). Experience supporting large-scale engineering organizations and improving developer productivity.

🏢 Summary: Senior Platform Engineer consultant role focused on building AI-native platform capabilities, governance, and developer productivity tooling in a cloud-native environment. The position involves developing secure AI agent workflows, improving CI/CD automation, and enabling self-service engineering solutions for internal teams. This hybrid Stockholm-based assignment runs until the end of the year in a fast-moving and exploratory environment. 🗂️ Requirements: 5+ years of software, platform, DevEx, or infrastructure engineering experience, Strong proficiency in Java, Strong proficiency in Spring Boot or Go, Hands-on experience with AWS, Hands-on experience with EKS/Kubernetes, Experience with service deployment and observability, Experience designing and automating CI/CD pipelines, Experience with GitHub Actions, Ability to build self-service developer solutions, Strong communication and presentation skills 📃 Skills: Java, Spring, Go, AWS, EKS, Kubernetes, CI/CD, GitHub, Actions, LLMs, MCP, DevEx 🏢 Description: Role: Senior Platform Engineer - AI, Consultant Start Date: ASAP/August Number of Consultants: 3 Assignment Duration: Until end of the year Location: Hybrid setup from Stockholm Project & Environment Overview We are building the foundations for an AI-native software development lifecycle , where engineering teams can safely delegate meaningful work to AI agents within clear governance, compliance, and auditability boundaries. The team owns key parts of the internal developer experience, including AI platform capabilities, developer productivity tooling, platform compliance, and self-service workflows for engineering teams. This is a fast-moving and exploratory environment. Priorities and technical direction may evolve as we learn, validate, and ship. We are looking for a senior engineer who is highly self-driven, comfortable with ambiguity, and able to turn unclear problems into practical platform capabilities. Profile & Requirements Required Senior platform engineering experience: 5+ years of software, platform, DevEx, or infrastructure engineering experience. Strong backend engineering skills: High proficiency in Java/Spring Boot or Go . Cloud-native platform experience: Hands-on experience with AWS, EKS/Kubernetes , service deployment, observability, and production-grade infrastructure. CI/CD expertise: Strong experience designing and automating pipelines, preferably with GitHub Actions . Developer experience mindset: Ability to identify engineering friction and build practical self-service solutions that improve speed, quality, and reliability. Strong communication skills: Comfortable presenting technical solutions, running demos, and driving adoption across engineering teams. Highly Valuable Hands-on experience with LLMs , AI-assisted development, or agentic engineering workflows. Experience building or integrating multi-agent orchestration systems . Experience with Model Context Protocol (MCP) servers, tools, or similar integration patterns. Experience working in regulated environments with auditability, compliance, security, and cost-control requirements. Responsibilities & Deliverables You will build and deliver functional platform capabilities directly used by internal engineering teams. AI Agent Platform: Build secure, production-grade platform capabilities that allow teams to delegate engineering tasks to AI agents in a controlled and observable way. Agent Governance & Auditability: Implement traceability, approval flows, audit logs, cost attribution, token/API spend tracking, and operational guardrails. AI-Native CI/CD Automation: Improve GitHub Actions pipelines and integrate compliance and quality checks suitable for both human-written and agent-generated code. Developer Experience Improvements: Work closely with product engineering teams to identify daily blockers and turn them into self-service tools, templates, workflows, or platform features. Internal Adoption: Lead demos, workshops, and technical walkthroughs to help engineers understand and adopt new AI platform capabilities.

🏢 Summary: Cloud Infrastructure Engineer role focused on designing, automating, and operating scalable and secure cloud infrastructure across GCP and AWS using Infrastructure as Code. The position emphasizes Terraform-driven provisioning, cloud security, reliability patterns, and observability in large-scale environments. You will support platform and data teams by building resilient, well-governed cloud foundations. 🗂️ Requirements: 3–7+ years in Cloud Infrastructure, DevOps, Platform Engineering, or SRE, Strong hands-on experience with Terraform, Experience with Infrastructure as Code practices, Deep knowledge of GCP services (Pub/Sub, BigQuery, IAM, Networking), Experience managing complex Terraform state and large-scale environments, Strong understanding of cloud security and IAM, Experience with monitoring, alerting, and observability in cloud environments, Knowledge of distributed systems and scalability patterns, Polish language proficiency, English C1 proficiency 📃 Skills: Terraform, GCP, AWS, PubSub, BigQuery, IAM, Networking, Monitoring, Alerting, Logging, IaC, GitOps, CICD, Security, DistributedSystems 🏢 Description: Role Overview We are looking for a Cloud Infrastructure Engineer to design, build, and operate the cloud infrastructure that supports modern data and application platforms. This role focuses on infrastructure automation, cloud resource management, security, reliability, and operational excellence across large-scale cloud environments. You will play a key role in establishing scalable and resilient cloud foundations, managing Infrastructure as Code, and ensuring secure and efficient provisioning of cloud resources. The position combines hands-on engineering with platform-level thinking, helping development and data teams operate reliably at scale. Key Responsibilities Design, implement, and maintain cloud infrastructure using Infrastructure as Code (Terraform). Manage Terraform modules, state files, and state separation strategies for large-scale cloud environments. Provision, configure, and operate cloud resources across GCP and/or AWS environments. Manage core platform services, including messaging, data storage, identity management, and access controls. Build and maintain cloud-native services such as BigQuery datasets, Pub/Sub topics, IAM roles, and networking components. Implement resilience and reliability patterns, including retry mechanisms, circuit breakers, flow control, and automated recovery processes. Develop monitoring, alerting, logging, and observability solutions to ensure platform stability and operational excellence. Support automated deployment processes, schema versioning, and multi-version release strategies. Enforce cloud security best practices, including least-privilege access, audit logging, governance controls, and compliance requirements. Collaborate closely with platform, engineering, and data teams to improve infrastructure scalability, reliability, and developer productivity. Requirements 3–7+ years of experience in Cloud Infrastructure Engineering, Platform Engineering, DevOps, or Site Reliability Engineering. Strong hands-on experience with Terraform and Infrastructure as Code practices. Deep knowledge of cloud platforms, particularly Google Cloud Platform (GCP), with experience in services such as: Pub/Sub BigQuery IAM Networking Experience managing complex Terraform environments, including state management and large-scale resource provisioning. Strong understanding of cloud security principles, identity and access management, and governance frameworks. Experience implementing monitoring, alerting, and reliability solutions in cloud-native environments. Knowledge of distributed systems, scalability patterns, and operational best practices. Able to speak Polish and English C1 + Nice to Have Experience with AWS cloud services. Knowledge of event-driven architectures and messaging platforms. Experience supporting large-scale data platforms and streaming systems. Familiarity with CI/CD pipelines and GitOps practices. Experience in highly regulated or security-focused environments.

🏢 Summary: On-site role in Wroclaw for a Kubernetes & Cloud Infrastructure Engineer focused on building and operating scalable, secure AI platform infrastructure. The position centers on managing Kubernetes clusters, AWS environments, and infrastructure as code to support GPU workloads and large language model deployments. You will enhance reliability, automation, and observability of cloud-native AI systems. 🗂️ Requirements: 4+ years in Cloud, DevOps, or Platform Engineering, Strong expertise in Kubernetes cluster operations and multi-tenancy, Experience with GPU scheduling and model serving infrastructure, Hands-on experience with AWS (networking, IAM, EKS, EC2), Proficiency in Python, Experience with Terraform and infrastructure as code, Ability to build and operate CI/CD pipelines, Experience implementing GitOps workflows, Experience defining and managing infrastructure SLOs, Fluent English, Legal right to work in the EU 📃 Skills: Kubernetes, AWS, EKS, EC2, IAM, Terraform, Helm, Kustomize, Python, CI/CD, GitOps, GPU, Docker, Linux, Networking, Observability 🏢 Description: Unleash the power of cloud-native infrastructure — revolutionize AI platforms with your expertise! Wroclaw-based opportunity with on-site work model As a Kubernetes & Cloud Infrastructure Engineer – AI Platform , you will be working for our client, a leader in AI innovation, building and managing critical infrastructure that supports advanced AI models and large language model workloads. Your work will directly impact the delivery, scalability, and security of cutting-edge AI solutions, empowering teams across the firm to harness AI's full potential. Join us and be part of shaping the future of intelligent technologies! Your main responsibilities: Build and operate scalable Kubernetes clusters supporting multi-tenancy, GPU workloads, and model serving. Manage AWS infrastructure, including networking, IAM, security, and cost optimization. Develop and maintain infrastructure as code utilizing tools like Terraform, Helm, and Kustomize. Implement and maintain CI/CD and GitOps workflows to streamline deployment pipelines. Build observability solutions for system health, utilization, latency, and platform performance monitoring. Automate scaling, capacity management, and enforce security and governance policies across cloud and on-premise environments. Define and monitor infrastructure Service Level Objectives (SLOs) to ensure reliability and performance. Collaborate closely with AI Platform Engineers, Data Scientists, and Research teams to support model inference and deployment infrastructure. Enable internal teams through platform tooling, onboarding, and self-service portals. You're ideal for this role if you have: 4+ years of experience in Cloud, DevOps, or Platform Engineering. Strong expertise in Kubernetes, including cluster operations, multi-tenancy, GPU scheduling, and Helm/Kustomize. Hands-on experience with AWS cloud services—networking, IAM, EKS, EC2, and cost management. Proficient in Python and infrastructure-as-code tools such as Terraform. Proven ability to build and operate CI/CD and GitOps workflows. Skilled in defining and managing infrastructure SLOs. Pragmatic, ownership-driven approach and comfortable working in ambiguous environments. It is a strong plus if you have: Experience supporting LLM inference workloads, model serving platforms, or GPU-backed infrastructure. Knowledge of RAG systems, vector databases, or AI-related data platforms. Background in high-performance or latency-sensitive environments. Relevant certifications such as CKA, CKAD, Solutions Architect, or similar. Language Required for the role: Fluent English Eligibility to work in this role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: The role involves designing, deploying, and supporting enterprise-grade hybrid infrastructure platforms across on-premise and cloud environments. The engineer is responsible for ensuring stability, scalability, security, and automation of critical systems using HCI, Microsoft, and cloud technologies. The position requires independent task delivery and collaboration within a global, product-oriented environment. 🗂️ Requirements: Bachelor’s degree in IT or related field, Minimum 3 years of experience in enterprise infrastructure deployment and support, Strong knowledge of Nutanix and VMware HCI platforms, Experience with Windows Server (2012–2022), Experience with Active Directory and WSUS, Experience with Microsoft SQL Server (2014–2019), Familiarity with Commvault backup solutions, Basic knowledge of Azure and/or AWS, Basic knowledge of Ansible, Terraform, or Azure Automation, Scripting experience with PowerShell, Fluent English 📃 Skills: Nutanix, VMware, Windows, ActiveDirectory, WSUS, SQLServer, Commvault, Azure, AWS, Ansible, Terraform, AzureAutomation, PowerShell, Lenovo 🏢 Description: Infrastructure Engineer (Enterprise Platforms) Location: Warsaw, Poland About the Role We are looking for an experienced Infrastructure Engineer to join a global Technology & Infrastructure team responsible for designing, operating, and continuously improving enterprise-grade platforms supporting business-critical systems. In this role, you will work within a product-oriented environment, contributing to the stability, scalability, and modernization of hybrid infrastructure solutions across on-premise and cloud environments. You will collaborate closely with engineering teams, product stakeholders, and service providers to ensure secure and high-performing systems. Key Responsibilities Plan, estimate, and deliver infrastructure-related tasks independently Collaborate with product teams and stakeholders to clarify technical requirements Deploy, manage, and support enterprise HCI platforms (Nutanix, VMware) Maintain and optimize Microsoft-based environments (Windows Server, Active Directory, SQL Server) Support hybrid infrastructure environments (on-premise + Azure/AWS) Ensure high standards of reliability, security, and operational excellence Contribute to automation and scripting initiatives (PowerShell, Ansible, Terraform) Work with backup and data protection solutions (e.g., Commvault) Support hardware platforms such as Lenovo ThinkSystem servers Required Experience & Skills Bachelor’s degree in IT or related field Minimum 3 years of hands-on experience in deployment, management, and support of enterprise infrastructure platforms Strong knowledge of HCI environments (Nutanix, VMware) Experience with Windows Server (2012–2022), Active Directory, WSUS Experience with Microsoft SQL Server (2014–2019) Familiarity with backup solutions (e.g., Commvault) Basic knowledge of cloud platforms (Azure and/or AWS) Basic knowledge of automation tools (Ansible, Terraform, Azure Automation) Scripting experience (PowerShell preferred) Strong client-oriented mindset and ownership attitude Ability to work independently and collaboratively in international environments Fluent English Nice to Have Experience with infrastructure automation initiatives Exposure to large-scale enterprise or complex transformation projects

🏢 Summary: The role involves designing, implementing, and maintaining scalable cloud infrastructure and CI/CD pipelines, with a strong focus on Google Cloud Platform and Azure. The DevOps Engineer will automate deployments, manage infrastructure as code, and ensure reliability, security, and performance of cloud environments. The position requires close collaboration with development teams to improve deployment processes and platform stability. 🗂️ Requirements: Proven experience as DevOps Engineer or similar cloud role, Expert-level experience with Google Cloud Platform, Hands-on experience with Microsoft Azure, Experience with CI/CD tools (Azure DevOps, GitHub, GitHub Actions), Experience with Infrastructure as Code using Terraform, Scripting and automation skills using Python, Knowledge of cloud architecture and deployment best practices, Strong troubleshooting skills, English proficiency 📃 Skills: GCP, Azure, Terraform, Python, AzureDevOps, GitHub, GitHubActions, CI/CD, IaC 🏢 Description: About the Role We are looking for a skilled DevOps Engineer to join our technology team and help design, implement, and maintain scalable cloud infrastructure and modern CI/CD pipelines. In this role, you will work closely with development and platform teams to automate processes, improve deployment efficiency, and ensure the reliability and security of cloud-based systems. The ideal candidate has strong experience with cloud platforms, infrastructure as code, and modern DevOps practices, with particular expertise in Google Cloud Platform and CI/CD tooling. Key Responsibilities Design, implement, and maintain CI/CD pipelines using Azure DevOps , GitHub , and GitHub Actions . Build and manage scalable cloud infrastructure on Google Cloud Platform and Microsoft Azure . Develop and maintain infrastructure using Infrastructure as Code practices with Terraform . Automate operational and deployment processes using Python . Monitor and optimize cloud environments for performance, reliability, and cost efficiency. Collaborate with development teams to improve application deployment processes and platform reliability. Implement best practices in security, access control, and cloud governance. Troubleshoot infrastructure and deployment issues across environments. Required Skills & Experience Proven experience as a DevOps Engineer or in a similar cloud/infrastructure role. Strong hands-on experience with Google Cloud Platform at a principal or expert level . Solid experience with Microsoft Azure . Hands-on experience with CI/CD tools such as Azure DevOps , GitHub , and GitHub Actions . Strong knowledge of Infrastructure as Code tools, particularly Terraform . Good scripting and automation skills using Python . Experience with cloud architecture, automation, and deployment best practices. Strong troubleshooting and problem-solving skills. Ability to work collaboratively in cross-functional teams. Good communication skills and proficiency in English.

🏢 Summary: The offer is for a Platform Engineer responsible for building and evolving enterprise-grade DevOps platforms that enable scalable CI/CD, GitHub-based workflows, and AI-driven automation across a multi-cloud environment. The role focuses on improving developer productivity, delivery speed, and system reliability by standardizing and modernizing SDLC processes. You will design reusable platform components and migrate legacy CI/CD systems to modern solutions. 🗂️ Requirements: 5+ years experience in software engineering, DevOps, infrastructure, or platform engineering, Strong programming skills in Python or Groovy, Deep knowledge of CI/CD systems and end-to-end pipeline design, Advanced knowledge of Git and GitHub including GitHub Actions and repository management, Experience designing and supporting reusable automation components, Experience refactoring and migrating legacy CI/CD pipelines, Hands-on experience with Azure, Experience with containerization and orchestration, Experience with Infrastructure as Code tools, Ability to work in hybrid model with on-site presence once per week 📃 Skills: Python, Groovy, CI/CD, Git, GitHub, GitHubActions, Jenkins, Groovy, Azure, AWS, GCP, Docker, Kubernetes, Terraform 🏢 Description: We are looking for an accomplished Platform Engineer to join a highly skilled team building mission‑critical systems in a fast‑growing environment. This role focuses on empowering R&D teams by creating scalable, platform‑centric CI/CD solutions , modern GitHub‑based workflows , and intelligent automation across the Software Delivery Life Cycle (SDLC) . You will be responsible for designing and evolving internal DevOps platforms that significantly improve developer productivity, delivery speed, system reliability, and cost efficiency. Working closely with architects, Product DevOps teams, and engineering groups, you will help drive a shift toward standardized, reusable, and AI‑assisted DevOps capabilities within a complex, multi‑cloud ecosystem. Key Responsibilities Architect and implement enterprise‑grade DevOps platforms supporting multiple development teams and repositories Build, scale, and maintain CI/CD workflows using GitHub Actions and modern DevOps tooling Design reusable, maintainable platform components and shared automation, favoring structured and object‑oriented solutions over ad hoc scripting Introduce AI‑first approaches to enhance pipeline intelligence, developer feedback loops, and operational efficiency Reduce friction in the SDLC by simplifying tooling, automating repetitive tasks, and improving platform reliability Partner with engineering teams to promote GitHub best practices , including repository management and delivery automation Analyze, refactor, and modernize existing CI/CD implementations (e.g. Jenkins, Groovy‑based pipelines) and guide their evolution toward newer platforms Contribute to the ongoing development of a multi‑cloud strategy (Azure today, AWS planned), including SaaS and on‑premise environments Provide guidance on platform stability and DevOps cost optimization Requirements 5+ years of hands‑on experience in software engineering, DevOps, infrastructure, or platform engineering roles Strong development skills in at least one of the following languages: Python or Groovy Deep understanding of CI/CD systems and experience building end‑to‑end application delivery pipelines Advanced knowledge of Git and GitHub , including: GitHub Actions Repository and workflow management GitHub Advanced Security Experience operating at scale within large organizations with distributed teams and numerous repositories Proven ability to design, test, version, and support automation components used by other engineering teams Practical experience reading, refactoring, and migrating legacy CI/CD codebases Solid understanding of cloud platforms ( Azure preferred; AWS or GCP experience is a plus ) Hands‑on experience with container technologies and orchestration Familiarity with Infrastructure as Code and CI/CD tooling (e.g. Terraform, Jenkins, Git‑based workflows) Willingness to work in a hybrid model, including on‑site presence at the office once per week What can we offer Flexible forms of employment and working hours (CoE or B2B) An interesting, challenging job in the dynamically developing Capital Group company; Work on innovative projects using modern technologies; Direct impact on shaping the image of the Capital Group’s companies on the market; Possibility to develop competences in a wide range; Attractive salary; Stability of employment and a friendly work atmosphere; Cool benefits, among others integration meetings, internal company competitions, fruit Tuesdays, sweet Thursdays and much more.

🏢 Summary: Contract role for an experienced Cloud Platform Engineer to design, operate, and maintain scalable and secure Azure cloud infrastructure in a global environment. The position focuses on Azure IaaS/PaaS, AKS, and Terraform, ensuring operational stability, SLA compliance, and infrastructure automation. Fully remote within Poland with a strong emphasis on cloud operations and platform engineering. 🗂️ Requirements: 7+ years overall IT experience, 3+ years experience with Azure core services, 3+ years Windows or Linux administration, 3+ years experience with Azure Kubernetes Service (AKS), 2+ years experience with Terraform, Experience troubleshooting Azure IaaS and PaaS issues, Ability to manage and maintain Azure subscriptions, Experience with infrastructure as code, Strong problem-solving and analytical skills 📃 Skills: Azure, AKS, Terraform, ARM, BICEP, Windows, Linux, ServiceNow, AzureDevOps, GitHubActions, YAML, Ansible, Kafka, MongoDB, Elasticsearch, Bash, Shell, PowerShell, DNS, VNet, NSG, LoadBalancer, AppGateway, PrivateLink 🏢 Description: We are currently looking for an experienced Cloud Platform Engineer to support cloud infrastructure, operations, and platform engineering activities within a global environment. As a Cloud Platform Engineer, you will be responsible for operating, monitoring, and maintaining Azure subscriptions and associated applications. You will work closely with engineering and business teams to build, maintain, and support scalable and secure cloud infrastructure. Send CV to marcillina.tietjen@dcvtechnologies.co.uk if interested. 📍 Location: Poland (Remote) 💼 Role Type: Contract 🧠 Experience: 7+ years Key Responsibilities Design, build and maintain Azure infrastructure using Terraform (IaaS & PaaS) Troubleshoot Azure IaaS and PaaS issues via ServiceNow incidents Ensure SLA adherence for ticket resolution Create and maintain documentation (runbooks, playbooks, diagrams) Communicate with business stakeholders and support application design Must-Have Skills 3+ years Azure core services: Resource Manager, Virtual Machines/Scale Sets, Storage (Blob/Files), Networking (VNets, NSGs, Load Balancer, App Gateway, DNS, Private Link) 3+ years Windows or Linux administration 3+ years Azure Kubernetes Service (AKS) 2+ years Terraform Strong problem-solving and analytical skills Ability to work independently and within a team Nice to Have BICEP or ARM templates CI/CD (Azure DevOps Pipelines or GitHub Actions – YAML) Ansible Kafka / MongoDB / Elasticsearch Bash / Shell / PowerShell scripting

🏢 Summary: Engineer role focused on building and scaling CI infrastructure and agent runtime to support thousands of engineers and high-volume builds across multiple platforms. The position drives automation, system health, and large-scale monorepo support within a cross-functional platform team. It emphasizes cloud deployments, system administration, and strong programming expertise to deliver a fast, reliable developer experience. 🗂️ Requirements: 6+ years experience building large-scale systems, Experience with Linux, MacOS, and Windows system administration, Strong programming skills in Java, Strong programming skills in Python, Experience with GCP, Azure, or AWS, Knowledge of networking fundamentals, Understanding of testing, CI, and CD best practices, Experience provisioning Mac CI agents 📃 Skills: Java, Python, Linux, MacOS, Windows, GCP, Azure, AWS, Networking, CI, CD, Buildkite, TeamCity, Ansible, Terraform, Packer, Docker 🏢 Description: Do you love being in the flow as a developer and want to enable that for everyone else as well? Do you believe that the key to personal flow is in making the local developer build experience fast, well-integrated, automated and with meaningful insights? We are seeking a collaborative and curious Engineer to help drive and develop our CI infrastructure and agent runtime forward. Introduction & Summary Continuous Integration (CI) is at the core of our developer experience. Our growth and widespread presence means we run CI against a number of target platforms. In a context where swift flexibility is of utmost importance, we need to provide CI environments that enable the rest of the company to deliver functionality to our customers with both speed and safety. This role will be part of a team collaboratively creating and owning our CI and agent runtime infrastructure for us aiming to provide our engineers with a streamlined, simple to use and safe build experience at scale. The role is located in the Platform Developer Experience (PDX) studio within the Platform Mission. The PDX Studio oversees and owns the infrastructure that cuts across all engineering disciplines. Main Responsibilities Execute on our future CI infrastructure strategy that is able to serve 3000+ engineers doing hundreds of thousands of builds daily and beyond. Support with Operational tasks keeping our systems healthy and up to date. Drive the automation and improvements of our CI agents across our current technical stacks. Help scale our CI infrastructure to support large-scale monorepos. Collaborate with sibling teams to discover what a best-in-class CI infrastructure means. Key Requirements 6+ years of experience in building and implementing large-scale systems across various projects and teams. Proven experience with Linux, MacOS, and Windows system administration. Strong programming skills in Java and Python. Experience deploying to and implementing solutions in GCP, Azure, and/or AWS. Familiarity with networking fundamentals. Understanding of software engineering best practices such as testing, continuous integration, and continuous delivery. Experience with provisioning Mac agents for CI in previous projects. Nice to Have Experience with Buildkite and TeamCity. Knowledge of Ansible, Terraform, and Packer. Expertise in Docker. Other Details Start: Asap or August Length: 6 months Location: Sweden