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Location: Intellias Meet your recruiter Daniela Riabova daniela.riabova@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering GenAI Engineer Senior Poland Remote APPLY NOW REFER A FRIEND A leading German distributor of building materials, the company serves construction professionals and private customers through an extensive network of branches and showrooms. It offers a comprehensive range of products and services for residential construction and renovation, providing a convenient one-stop shop for its customers. What project we have for you For an innovative AI project in the retail sector, we are seeking an experienced AI Engineer (m/f/d) to support the development and implementation of an AI-powered pricing model. The aim of the project is to link internal and external data sources and, using machine learning and neural networks, generate dynamic, AI-based price recommendations for individual items. This is intended to optimise pricing decisions and unlock additional margin potential. The technological foundation is a prototype that has already been successfully developed and implemented by international colleagues in collaboration with Microsoft. The existing solution is to be transferred to the company’s own data environment, adapted and further developed. The data model, as well as existing Python code and notebooks within Azure Databricks, are already in place. Working alongside the in-house data science team, you will be responsible for developing, training and validating a proprietary AI model based on these resources. As the project progresses, the solution will be integrated with the ERP system to provide automated price and terms suggestions for operational staff. What you will do • Further development and customisation of an existing AI pricing prototype based on Azure Databricks • Analysis and processing of internal and external data sources • Development and implementation of neural networks and machine learning models • Development, training and validation of proprietary AI models • Implementation and optimisation of AI models using Python • Use and processing of Large Language Models (LLMs) and prompt engineering • Porting existing models to the company’s own data and system landscape • Collaboration with the internal data science team and international project stakeholders • Supporting the integration of the developed solution into the existing ERP system What you need for this At least 2–3 years’ practical project experience in AI engineering or similar AI projects • Very good knowledge of Azure Databricks • Very good knowledge of Python • Substantial experience in machine learning and deep learning • Practical experience in the development, training and validation of neural networks • Experience working with Large Language Models (LLMs) and prompt engineering • Experience in the development and implementation of AI models in real-world business environments • Ability to translate business requirements into technical models and solutions • An independent and structured approach to work, as well as good communication skills • knowledge of German required (B1/B2) • Occasional on-site attendance in Dortmund (approx. 2–3 appointments per quarter) Nice-to-have: • Experience in the retail sector • Experience with pricing models and predictive analytics • Experience integrating AI solutions into ERP systems What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Intellias Meet your recruiter Kateryna Zemetska kateryna.zemetska@intellias.com https://www.linkedin.com... Vacancy details DevOps Engineering DevOps Architect Architect Bulgaria, Croatia, Poland, Portugal, Spain Remote APPLY NOW REFER A FRIEND Let’s breathe life into great tech ideas! With more than 3 000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world. What project we have for you The client is undergoing a large-scale cloud and security modernization program aimed at transforming its application architecture and strengthening enterprise governance across environments. What you will do Design and implement DevOps processes: responsible for designing and implementing DevOps processes, such as continuous integration and delivery, automated testing, and deployment automation, to accelerate software delivery and improve quality. Infrastructure management: designs and manages cloud-based infrastructure using tools such as AWS, Azure, or GCP, to ensure scalability, high availability, and cost-effectiveness. Automation: responsible for automating manual processes across the software development lifecycle to improve efficiency, consistency, and reliability. Performance optimization: analyzes system performance and identifies opportunities for optimization, such as load balancing, caching, and database tuning. Security and compliance: ensures that the DevOps processes and infrastructure meet security and compliance standards. Team management: leads and manages a team of DevOps Engineers, providing technical guidance, mentoring, and coaching to ensure the team’s success. Collaboration: collaborates with other teams, such as development, QA, and operations, to ensure smooth integration and alignment of processes and goals. Continuous improvement: responsible for continuously improving DevOps processes, infrastructure, and tools to achieve higher efficiency, quality, and scalability. What you need for this 7+ years of experience working as a DevOps Technical expertise: in-depth knowledge and expertise in software development, automation, cloud computing, infrastructure management, and DevOps tools and technologies such as Docker, Kubernetes, Jenkins, Git, Ansible, Terraform, etc. Cloud computing: expertise in designing, deploying, and managing cloud-based infrastructure using Azure. Other cloud platforms and services will be a plus. Automation: experience in automating manual processes across the software development lifecycle to improve efficiency, consistency, and reliability. Software development: strong understanding of software development methodologies, coding practices, and programming languages to enable effective collaboration with development teams. Infrastructure management: expertise in managing and optimizing infrastructure, such as servers, databases, networks, storage, and security. Continuous integration and delivery (CI/CD): experience in designing and implementing efficient and reliable CI/CD pipelines to accelerate software delivery and improve quality. Security and compliance: knowledge of security best practices and compliance requirements to ensure that the DevOps processes and infrastructure meet security and compliance standards. Leadership and communication: strong leadership skills to manage and motivate a team of DevOps Engineers, as well as excellent communication skills to facilitate collaboration and alignment with other teams and stakeholders. Strategic thinking: able to think strategically and align the DevOps function with business goals and objectives. English level B2/C1 Leadership: strong leadership skills to lead and motivate a team of DevOps Engineers, as well as to influence and guide other teams and stakeholders towards DevOps adoption. Adaptability: able to adapt to changes in technology, processes, and business requirements and be open to new ideas and approaches. Curiosity: A desire to learn and explore new technologies, methodologies, and best practices is essential to stay current in the fast-paced DevOps field. Communication: Clear and effective communication skills are essential to collaborate with other teams, stakeholders, and management. Teamwork: able to work well in cross-functional teams, share knowledge, and collaborate on projects to achieve common goals. Problem-solving: strong problem-solving skills to identify and troubleshoot complex system issues. Attention to detail: detail-oriented and ensure that their work meets high standards of quality and accuracy. Time management: be able to prioritize tasks effectively and manage their time efficiently to meet project deadlines. Continuous learning: continuous learning and keeping up with the latest technologies, trends, and best practices in DevOps. Customer focus: customer-focused and work towards improving the end-user experience through efficient and reliable software delivery. Will be a plus: An Associate, Professional or Specialty-level certification from one of our strategic technology partners — AWS, Microsoft, Google, Databricks or Anthropic — aligned with your tech stack. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

The role involves joining an international project to develop, manage, and automate Azure cloud infrastructure supporting a critical SAP production environment. Key duties include designing and maintaining Infrastructure as Code (IaC) solutions, optimizing CI/CD pipelines with Azure DevOps or GitHub, and managing Azure IaaS and PaaS services such as Virtual Machines, Storage Accounts, Key Vault, AKS, Databricks, and Application Gateway. The engineer will handle containerized applications and Kubernetes clusters, automate infrastructure using Terraform, PowerShell, Shell scripting, YAML, and Python, and enforce automated security controls for IaC. Responsibilities also cover configuring monitoring, logging, and alerting systems to ensure infrastructure reliability, independently resolving incidents and performance issues, and collaborating with cloud engineering and DevOps teams to maintain a secure and efficient SAP environment. Candidates must have strong practical experience with Azure cloud services, IaC, CI/CD pipelines, container technologies, and infrastructure automation, along with skills in troubleshooting complex environments and supporting SAP production systems. Proficiency in English at B2 or higher and availability for on-site work in Eindhoven, Netherlands, are required. Preference is given to those who can provide a team of Azure Cloud Engineers or have experience with large-scale enterprise cloud projects.

Responsibilities: — Work remotely within the EU with mandatory onsite presence in the Netherlands from January 14 to February 7, 2027. — Engage in Azure Cloud Engineering tasks including Azure IaaS/PaaS, Azure VMs, Storage Accounts, Key Vault, AKS, Databricks, Application Gateway. — Use Terraform as a mandatory tool. — Utilize Azure DevOps, GitHub, CI/CD pipelines. — Work with Kubernetes, Docker. — Employ scripting languages such as PowerShell, Shell, YAML, Python. — Ensure IaC Security and handle Monitoring & Logging. Requirements: — Senior level experience. — At least 3 successfully completed end-to-end SAP S/4HANA transformation projects. — Experience providing production support in mission-critical SAP environments. — Mandatory skills include Azure Cloud Engineering, Terraform, Azure DevOps, GitHub, CI/CD, Kubernetes, Docker, PowerShell, Python. — English proficiency at C1 level. Nice to have: — Azure certifications (AZ-104, AZ-305, AZ-400). — Experience with SAP hosting on Azure. — Knowledge of Cloud Governance. — Understanding of Security & Compliance. Conditions: — Remote work within the EU. — Mandatory onsite presence in the Netherlands from January 14 to February 7, 2027. — Contract duration is 3 months starting ASAP (December 2026) with possibility of extension. — Freelancers only; outstaffing companies and recruitment agencies will not be considered.

Location: Poland; Czechia; Bulgaria; Croatia; Romania; France About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role Our client is a Big4 Consultancy group that works with leading financial institutions on AI-driven transformation, automation, advanced analytics, and financial crime prevention . Their work spans intelligent fraud detection, AML/KYC modernization, autonomous workflows, enterprise AI platforms, and the secure industrialization of AI in highly regulated environments. We are looking for an experienced Security Architect to lead the security approval and data-protection readiness of the solution. You will act as the main technical security contact with the client’s CISO, data-protection, and country security teams , covering cloud security, AI/LLM risk, penetration testing, secure data handling, and formal architecture approvals. CONTRACT: Contractor assignment, expected October 2026 – July 2027, with potential extension COMMITMENT: Full-time LOCATIONS: Central and Eastern Europe, EU-authorized, REMOTE PROCESS: Initial qualification followed by technical and client interviews NOTES: Fluent English is required. Responsibilities Review the end-to-end security architecture across identity, access, secrets, networking, data handling, and logging. Ensure sensitive and personal data are handled securely and are not exposed through logs or operational tooling. Prepare and drive formal security architecture approval and new-technology review processes. Support security reviews covering AI / LLM usage, web search, and new technology components . Coordinate penetration testing and follow up on remediation of findings. Support the Data Protection Impact Assessment (DPIA) and AI model-risk review. Define and agree data-handling principles with the client CISO, data-protection, and country security teams. Review cloud and application security controls across Azure, Databricks, APIs, and supporting services. Support secure delivery across development, testing, production, and country rollout environments. Act as the primary security point of contact between engineering teams and client security stakeholders. Requirements Strong experience in security architecture and approval processes within large regulated organizations. Strong hands-on knowledge of Azure security , including Entra ID, Key Vault, private endpoints, and Microsoft Defender. Experience with penetration testing, vulnerability management, and OWASP practices. Knowledge of OWASP security risks for LLM / AI applications . Experience with code and dependency scanning using tools such as SonarQube, JFrog Xray, or similar. Strong understanding of GDPR, data protection, privacy, and secure handling of personal data . Experience working with CISO, security governance, privacy, and engineering teams. Ability to communicate security risks and controls clearly to both technical and non-technical stakeholders. Highly preferred: Experience in insurance, banking, or other highly regulated environments .

We are looking for a Middle Data Engineer with strong Snowflake, SQL and dbt skills to build and support production data pipelines. • 2+ years of data engineering experience.

We are looking for a Middle Data Engineer with strong Snowflake, SQL and dbt skills to build and support production data pipelines. • 2+ years of data engineering experience.

Location: Belgrade, Serbia; Cluj-Napoca, Romania; Dnipro, Ukraine; Kharkiv, Ukraine; Krakow, Poland; Kyiv, Ukraine; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Lviv, Ukraine; Odesa, Ukraine; Remote.BG, Bulgaria; Remote.PL, Poland; Riga, Latvia; Sofia, Bulgaria; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland We are looking for a Strong Middle / Senior Databricks Developer with Azure to build scalable data platforms, develop complex data pipelines, and support cloud based data engineering solutions. The Data Platform project focuses on delivering cloud based data engineering solutions in the Microsoft Azure ecosystem. You will work with Databricks, Spark, and Azure services to build and optimize reliable data pipelines and support modern Lakehouse architecture. Design data solutions using Databricks Develop data pipelines for structured and unstructured data Build ETL and ELT workflows in Azure Develop high performance solutions using PySpark and Spark SQL Design Lakehouse architectures using Delta Lake Integrate data from databases APIs cloud services and streaming platforms Optimize Spark workloads for performance scalability and cost efficiency Ensure data quality governance security and monitoring standards Collaborate with Data Engineers Data Architects Analytics teams and business stakeholders Participate in architectural discussions and technical decision making Support CI and CD processes and infrastructure automation practices 4+ years of experience in Data Engineering 3+ years of hands on experience with Azure Databricks Experience with Apache Spark and PySpark Knowledge of Python and SQL Experience with Azure Data Factory Experience with Azure Data Lake Storage Gen2 Experience with Delta Lake and Lakehouse architecture Experience implementing end to end data pipelines in Azure Understanding of data modeling principles and best practices Experience working with large scale datasets in cloud environments Experience with Git based version control systems Upper Intermediate or higher English level Experience optimizing Spark workloads Experience collaborating with cross functional technical and business teams Experience supporting CI and CD processes Experience with infrastructure automation practices

Location: Poland; Czechia; Bulgaria; Croatia; Romania; France About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role Our client is a Big4 Consultancy group that works with leading financial institutions on AI-driven transformation, automation, advanced analytics, and financial crime prevention . Their are building a production-grade AI-assisted KYC / Customer Due Diligence platform for an international insurance environment. We are looking for an experienced IT Solution Architect to own the technical design of the production solution across Azure and Databricks , including runtime architecture, networking, identities, environments, integration patterns, resilience, monitoring, service transition, and operational handover. CONTRACT: B2B or B2C contract COMMITMENT: Full-time, 3-4 months contract with possibility of extension or getting on new projects LOCATIONS: Remote, EU-based candidates START: ASAP PROCESS: Initial qualification followed by client interviews Responsibilities Design the production runtime architecture across Databricks and Azure. Define networking, identity, access, and environment architecture across dev, test, acceptance, and production. Design for availability, SLOs, monitoring, alerting, backup, restore, rollback, and operational resilience . Define safe write-back mechanisms and controls for business-critical integrations. Decide integration patterns together with client architects, including API Management, integration layers, asynchronous APIs, and callbacks . Define the operating model across L1/L2/L3 support, incident, change, and release management . Plan service transition and handover to local IT teams. Ensure the solution can be effectively supported after deployment. Represent the solution at architecture and design boards. Work closely with engineering, platform, security, operations, and country teams. Requirements Strong Azure solution architecture experience, including APIM, Entra ID, Key Vault, private endpoints, Log Analytics, and Application Insights. Strong hands-on architecture experience with Databricks , including Unity Catalog and Model Serving / AI Gateway. Experience with Infrastructure as Code using Terraform . Strong experience with CI/CD in Azure DevOps . Experience designing production systems for high availability, observability, backup, restore, and rollback. Strong understanding of enterprise integration patterns and API architecture. Experience defining ITIL-based operating models and service transition for critical systems. Strong ability to work with architecture boards and senior technical stakeholders. Fluent English and ability to work remotely within the EU.

Location: Poland; Czechia; Bulgaria; Croatia; Romania; France About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role Our client is a Big4 Consultancy group that works with leading financial institutions on AI-driven transformation, automation, advanced analytics, and financial crime prevention . Their are building a production-grade AI-assisted KYC / Customer Due Diligence platform for an international insurance environment. We are looking for an experienced Backend / Full-Stack Engineer to build the services connecting the AI-driven CDD platform with enterprise systems. The role requires strong hands-on experience across C#/.NET and Python , with a focus on APIs, enterprise integrations, asynchronous workflows, containerization, Azure DevOps, and production reliability. CONTRACT: B2B or B2C contract COMMITMENT: Full-time, 3-4 months contract with possibility of extension or getting on new projects LOCATIONS: Remote, EU-based candidates START: ASAP PROCESS: Initial qualification followed by client interviews Responsibilities Build middleware APIs connecting enterprise applications, data platforms, and legacy systems. Develop and maintain ASP.NET Core Web APIs and Python services. Extend AI-driven service modules and connector frameworks. Implement reliable asynchronous workflows , callbacks, retries, and safe write-back mechanisms. Integrate with REST APIs, messaging systems, queues, databases, and enterprise platforms. Package and deploy services using Docker and CI/CD pipelines. Support deployments to Azure / Databricks-based environments. Write and maintain unit and integration tests . Troubleshoot issues found during testing and in production. Contribute to a business-critical platform where uptime, speed, and correct results are essential Requirements Strong hands-on experience with C# / .NET and ASP.NET Core Web APIs . Practical experience with Python , ideally FastAPI or a comparable framework. Experience building and integrating REST APIs and enterprise services. Experience with messaging / queues and asynchronous integration patterns . Strong experience with Docker, Git, and Azure DevOps CI/CD . Experience writing unit and integration tests for production services. Ability to work across modern cloud services and legacy enterprise systems. Fluent English and ability to work remotely within the EU.

Location: United Kingdom We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle - offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves - all designed to help our clients optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. The Role & Responsibilities The role will be responsible for taking technical ownership of key workstreams on EnerMech's Azure Databricks data platform, operating across the full platform stack: data modelling and pipeline development in Databricks, the underlying Azure infrastructure, and the CI/CD, DevOps and DataOps practices that keep the platform reliable, secure and scalable. The role holder operates with a high degree of autonomy, makes and documents architectural decisions, resolves complex platform issues, and is a technical point of contact for the global EBS Team, and business stakeholders. This is a fully remote role in the UK ,supporting our Enterprise Business Systems (EBS) function in the Mumbai Shared Service Centre. Key reponsibilities will include: Design, build, quality and reliable operation of assigned workstreams on the Azure Databricks data platform, from scoping through to production deployment. Integrity of the medallion data model (bronze/silver/gold) for assigned data domains, ensuring data is modelled, validated, documented and certified for downstream reporting and analytics. Build and optimise Delta tables and materialized views, with attention to performance at scale. Design and implement data quality frameworks (preferably DQX or equivalent), including quarantine/error handling and validation against data contracts. Define job-specific compute configurations appropriate to each workload, balancing performance and cost. Contribute to and troubleshoot Terraform-managed infrastructure (networking, storage, Key Vaults, Managed DevOps Pools, Dev Centers). Own and maintain Azure DevOps build and release pipelines, variable groups/libraries, and repository security, permissions and branch policies. Support environment-level Azure configuration, including subscription-level access, RBAC for user and pipeline (service principal) identities, and Terraform state backend management across multiple storage accounts and environments. Operate autonomously across a workstream, from scoping through to production deployment. Use AI-assisted tooling to support day-to-day development, validating outputs against authoritative sources (architecture decisions, technical leads, documentation) before acting on them. Communicate clearly with technical and non-technical stakeholders, including across time zones with colleagues in the UK, Americas, Middle East and Asia Pacific. The Requirements Essential Bachelor's degree in Computer Science, Engineering, Information Systems or a related discipline, or equivalent practical experience. Typically 6+ years in data engineering, including 3+ years hands-on with Azure Databricks in production. Demonstrated ownership of medallion architecture design and data modelling. Implemented data quality frameworks and data contracts in production. Implemented PII protection (masking, tokenisation or access tiering) across environments. Platform engineering experience: diagnosing infrastructure issues, not just consuming platform services. Track record of autonomous delivery, including direct stakeholder engagement. Databricks Certified Data Engineer Associate (minimum). Desirable Databricks Certified Data Engineer Professional. Microsoft AZ-400: Designing and Implementing Microsoft DevOps Solutions. Multi-environment Azure networking (VNet peering, DNS zone design, NAT Gateway). Migrating or standing up CI/CD pipelines, incl. introducing pipeline templates/standards. Governance and identity patterns (e.g. Entra ID, RBAC scoping). Applying regulatory frameworks (e.g. GDPR) to data platform design. Shared service centre or global delivery model experience, ideally in energy or industrial services.

Location: Singapore; Malaysia Job Overview: As an Azure Stack HCI Engineer, you will be responsible for managing and supporting the organization's hybrid cloud infrastructure based on Microsoft Azure Stack HCI. This role requires deep technical knowledge of Azure Stack HCI, hyper-converged infrastructure, and related Microsoft technologies. The ideal candidate will have experience with a variety of Microsoft technologies, including Windows Server, Hyper-V, and Storage Spaces Direct. They will also have experience with HCI architecture and design tools and technologies, as well as with Azure Stack HCI troubleshooting and problem resolution. The ability to work independently and as part of a team is essential, as is the ability to meet deadlines and work under pressure. The Microsoft Azure Stack HCI Engineer will report to the Infrastructure Manager and will work closely with other members of the IT team, as well as with stakeholders from other departments. Responsibilities: Infrastructure Management & Support: Manage, maintain, and support the Azure Stack HCI infrastructure, including the creation, deployment, and administration of virtual machines, storage, and networking components. System Performance Monitoring & Troubleshooting: Monitor the performance of the Azure Stack HCI infrastructure and perform troubleshooting and resolution for any system issues. Security & Compliance: Ensure that all Azure Stack HCI deployments meet the organization's security standards and compliance requirements. Implement and manage security measures such as access controls, firewalls, and encryption. Backup & Disaster Recovery: Manage backup and disaster recovery processes for the Azure Stack HCI infrastructure. Test and verify backup and recovery procedures regularly. Documentation: Document system configurations, procedures, and changes. Maintain records of system performance, issues, and resolutions. Consultation & Collaboration: Provide technical consultation and advice to other IT teams, business units, and management. Collaborate with other teams on infrastructure projects and initiatives. Requirements: Education: Bachelor's degree in Computer Science, Information Technology, or related field. Microsoft Certified: Azure Solutions Architect Expert or Azure Stack HCI certifications are highly desirable. Experience: At least 3-5 years of experience in cloud or infrastructure engineering, with a focus on Azure Stack HCI or similar technologies. Technical Skills: In-depth understanding of Azure Stack HCI, hyper-converged infrastructure, virtualization, storage, and networking. Familiarity with Windows Server, Azure services, and related Microsoft technologies. Soft Skills: Excellent problem-solving, communication, and teamwork skills. Ability to manage multiple tasks and work under pressure. Other: Willingness to stay updated with the latest developments in Azure Stack HCI and related technologies. Additional Responsibilities: Participate in the development and implementation of Azure Stack HCI security policies and procedures. Monitor Azure Stack HCI performance and identify potential problems. Perform regular backups of Azure Stack HCI data. Respond to Azure Stack HCI outages and incidents. Skills and Abilities: Proficient in Microsoft Windows Server, Hyper-V, and Storage Spaces Direct. Experience with HCI architecture and design tools and technologies. Experience with Azure Stack HCI troubleshooting and problem resolution. Excellent written and verbal communication skills. Ability to work independently and as part of a team. Ability to meet deadlines and work under pressure. Disclaimer: This job description is not an exhaustive list of the skills, efforts, duties, and responsibilities associated with the position. The company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. Note: The actual duties and responsibilities may vary depending on the department's needs and the evolution of the role.

Location: Intellias Meet your recruiter Karolina Sowa karolina.sowa@intellias.com https://www.linkedin.com... Vacancy details DevOps Engineering DevOps Engineer (Azure) Principal Poland, Portugal, Spain, Ukraine Remote APPLY NOW REFER A FRIEND The Azure Lead Engineer owns the technical direction and engineering quality of Cloud Hub’s enterprise Azure platform. This is a hands-on leadership role spanning Azure Landing Zones, governance, security, networking, automation, reliability and cost management. The role works across Engineering, Architecture, Security, Product and Operations to provide a secure, scalable and governed Azure platform for approved and documented exception use cases in alignment with enterprise architecture standards. What project we have for you About the Client Our client is a large global enterprise operating across multiple markets, with a complex technology landscape and a strong focus on digital transformation and innovation. The organization is actively investing in modern cloud, data, and AI capabilities to enable scalable, secure, and highly automated solutions across its business. What you will do Core Accountabilities Platform strategy and technical leadership • Own the Azure technical roadmap, reference architectures, standards and reusable implementation patterns. • Lead architecture and design reviews; make pragmatic technical decisions and communicate trade-offs clearly. • Mentor engineers, strengthen peer review and reduce dependency on individual subject-matter experts. Landing Zones, governance and security • Design, evolve and operate enterprise Azure Landing Zones, including management groups, subscriptions, identity, policy, shared services and workload guardrails. • Implement policy-driven governance, RBAC, privileged access, tagging, compliance monitoring and security-bydesign controls. • Partner with Security, Architecture and Compliance teams to remediate risks and maintain audit-ready evidence. Automation and platform engineering • Drive Infrastructure as Code and automated lifecycle management using approved enterprise tooling, Git and CI/CD pipelines. • Build self-service subscription and platform capabilities with clear product interfaces, documentation and operational ownership. • Control configuration drift, improve repeatability and minimise manual operational work. Reliability, operations and optimization • Establish observability, operational readiness, backup/recovery and incident-management standards. • Lead complex troubleshooting, root-cause analysis and engineering improvements arising from incidents and problems. • Optimise resilience, performance and cost through capacity management, FinOps practices and measurable service outcomes. Delivery and stakeholder leadership • Translate strategy into a prioritised backlog; identify dependencies, risks, owners and escalation paths. • Coordinate delivery across squads and stakeholders while maintaining architecture, security and engineering quality. • Represent Cloud Hub in Azure decisions and explain technical recommendations to both engineering and business audiences. What you need for this Required Expertise • 6 or more years in cloud infrastructure, platform engineering, DevOps or SRE, including at least three years of hands-on Azure experience. • Proven design and operation of enterprise, multi-subscription Azure platforms and Landing Zones. • Strong knowledge of management groups, Azure Policy, Microsoft Entra ID, RBAC/PIM, Azure Monitor, Log Analytics and cost controls. • Strong Azure networking experience: hub-and-spoke or Virtual WAN, VNets, routing, DNS, NSGs, Private Endpoints, firewalls and ExpressRoute/VPN. • Production experience with IaC tools, Git-based delivery, CI/CD and scripting such as Python or PowerShell. • Demonstrated technical leadership, mentoring, stakeholder influence and delivery in a global enterprise environment. Preferred Qualifications • Microsoft Certified: Azure Solutions Architect Expert; Azure Administrator Associate or Azure Security Engineer Associate. • Experience with multi-cloud environments, platform-product operating models, SRE practices and organisational change. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Intellias Meet your recruiter Daniela Riabova daniela.riabova@intellias.com https://www.linkedin.com... Vacancy details DevOps Engineering DevOps Engineer (Azure) Senior Poland, Portugal, Ukraine Remote APPLY NOW REFER A FRIEND We are looking for an Azure Cloud Engineer to help design, build, automate, and operate an enterprise Azure platform. The role focuses on delivering secure, scalable, and governed Azure capabilities across Landing Zones, networking, identity, policy, observability, reliability, and cost management. Working closely with Architecture, Security, Product, and Operations teams, you will contribute to platform improvements, operational excellence, and cloud enablement across the organization. What project we have for you Our client is a large global enterprise operating across multiple markets, with a complex technology landscape and a strong focus on digital transformation and innovation. The organization is actively investing in modern cloud, data, and AI capabilities to enable scalable, secure, and highly automated solutions across its business. What you will do Platform Engineering & Delivery Implement Azure platform capabilities, reusable patterns, and roadmap initiatives. Contribute to technical design discussions and peer reviews. Document technical decisions, risks, and trade-offs. Own deliverables from refinement through implementation, testing, documentation, and operational handover. Landing Zones, Governance & Security Build and maintain Azure Landing Zone components including management groups, subscriptions, identity services, policies, and workload guardrails. Implement and support Azure Policy, RBAC, privileged access controls, tagging, compliance monitoring, and security-by-design practices. Remediate security and compliance findings and maintain technical evidence required for governance processes. Automation & Platform Engineering Develop and maintain Infrastructure as Code modules and automated lifecycle workflows. Build self-service subscription and platform capabilities. Reduce manual effort through automation and eliminate configuration drift. Support Git-based delivery processes and CI/CD pipelines. Reliability, Operations & Optimization Implement observability, backup, recovery, and operational readiness controls. Troubleshoot incidents and perform root-cause analysis. Improve platform resilience, performance, and cost efficiency using monitoring, capacity management, and FinOps practices. Collaboration & Service Ownership Collaborate with technical leads, product owners, and partner teams. Refine requirements, estimate work, and manage dependencies. Maintain documentation, operational records, and backlog updates. Participate in operational support and continuous service improvement activities. What you need for this Must Have 5+ years of experience in Cloud Infrastructure, Platform Engineering, DevOps, or SRE, including 3+ years of hands-on Azure experience. Experience operating enterprise Azure environments and Landing Zone components. Practical knowledge of: Azure Management Groups Azure Policy Microsoft Entra ID RBAC and PIM Azure Monitor Log Analytics Cost governance and optimization Experience with Azure networking: VNets Routing DNS NSGs Private Endpoints Firewalls ExpressRoute or VPN connectivity Production experience with: Infrastructure as Code Git-based delivery CI/CD Python or PowerShell scripting Strong troubleshooting and root-cause analysis skills. Strong communication, collaboration, and ownership mindset. Nice to Have Microsoft certifications such as: Azure Administrator Associate Azure Network Engineer Associate DevOps Engineer Expert Azure Security Engineer Associate Experience with Terraform, Azure DevOps, or GitHub Actions. Exposure to multi-cloud environments. SRE practices. FinOps. Platform-as-a-product operating models. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Romania; Serbia; Poland Job Overview: As an Azure Stack HCI Engineer, you will be responsible for managing and supporting the organization's hybrid cloud infrastructure based on Microsoft Azure Stack HCI. This role requires deep technical knowledge of Azure Stack HCI, hyper-converged infrastructure, and related Microsoft technologies. The ideal candidate will have experience with a variety of Microsoft technologies, including Windows Server, Hyper-V, and Storage Spaces Direct. They will also have experience with HCI architecture and design tools and technologies, as well as with Azure Stack HCI troubleshooting and problem resolution. The ability to work independently and as part of a team is essential, as is the ability to meet deadlines and work under pressure. The Microsoft Azure Stack HCI Engineer will report to the Infrastructure Manager and will work closely with other members of the IT team, as well as with stakeholders from other departments. Responsibilities: Infrastructure Management & Support: Manage, maintain, and support the Azure Stack HCI infrastructure, including the creation, deployment, and administration of virtual machines, storage, and networking components. System Performance Monitoring & Troubleshooting: Monitor the performance of the Azure Stack HCI infrastructure and perform troubleshooting and resolution for any system issues. Security & Compliance: Ensure that all Azure Stack HCI deployments meet the organization's security standards and compliance requirements. Implement and manage security measures such as access controls, firewalls, and encryption. Backup & Disaster Recovery: Manage backup and disaster recovery processes for the Azure Stack HCI infrastructure. Test and verify backup and recovery procedures regularly. Documentation: Document system configurations, procedures, and changes. Maintain records of system performance, issues, and resolutions. Consultation & Collaboration: Provide technical consultation and advice to other IT teams, business units, and management. Collaborate with other teams on infrastructure projects and initiatives. Requirements: Education: Bachelor's degree in Computer Science, Information Technology, or related field. Microsoft Certified: Azure Solutions Architect Expert or Azure Stack HCI certifications are highly desirable. Experience: At least 3-5 years of experience in cloud or infrastructure engineering, with a focus on Azure Stack HCI or similar technologies. Technical Skills: In-depth understanding of Azure Stack HCI, hyper-converged infrastructure, virtualization, storage, and networking. Familiarity with Windows Server, Azure services, and related Microsoft technologies. Soft Skills: Excellent problem-solving, communication, and teamwork skills. Ability to manage multiple tasks and work under pressure. Other: Willingness to stay updated with the latest developments in Azure Stack HCI and related technologies. Additional Responsibilities: Participate in the development and implementation of Azure Stack HCI security policies and procedures. Monitor Azure Stack HCI performance and identify potential problems. Perform regular backups of Azure Stack HCI data. Respond to Azure Stack HCI outages and incidents. Skills and Abilities: Proficient in Microsoft Windows Server, Hyper-V, and Storage Spaces Direct. Experience with HCI architecture and design tools and technologies. Experience with Azure Stack HCI troubleshooting and problem resolution. Excellent written and verbal communication skills. Ability to work independently and as part of a team. Ability to meet deadlines and work under pressure. Disclaimer: This job description is not an exhaustive list of the skills, efforts, duties, and responsibilities associated with the position. The company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. Note: The actual duties and responsibilities may vary depending on the department's needs and the evolution of the role.

Location: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a Solution Architect to help translate business goals into scalable, secure, and maintainable technical solutions. You will work across product discussions, architecture design, technical reviews, and cross team collaboration to support clear requirements and consistent engineering practices. This project is centered on a modern travel focused platform with cloud native services, distributed systems, data integrations, and observability. It aims to improve productivity, quality, security, reliability, and time to market through consistent architecture principles and implementation ready technical solutions. Define and communicate target architecture aligned with business objectives and product strategy Design scalable and secure solutions across cloud native applications APIs data platforms integrations and distributed systems Guide the adoption of Azure services containerized workloads event driven architecture Snowflake and Datadog Evaluate architectural alternatives and document trade offs risks dependencies and recommendations Identify opportunities to simplify systems reduce technical debt and improve platform reusability Partner with stakeholders to write review validate and improve product and technical requirements Translate business needs into clear testable and technically feasible requirements Identify gaps assumptions dependencies integration constraints and architectural risks before development starts Help teams define acceptance criteria API contracts data requirements system boundaries and testing strategies Guide engineering teams in adopting architectural directions standards reusable patterns and decision records Review proposed designs and significant technical changes and provide timely feedback Help identify and manage architectural dependencies across teams products platforms and shared services Drive responsible adoption of AI capabilities across the software development lifecycle Evaluate AI enabled tools frameworks and platforms based on value security reliability maintainability and cost Define architectural patterns for integrating AI services into applications Establish guidelines for AI generated code content validation data protection and secure AI tool usage Promote AI assisted testing including test generation regression coverage API validation and failure analysis Measure engineering and delivery outcomes using relevant performance and quality indicators Lead by example with clean architecture secure coding effective testing and maintainable implementation practices Help teams improve CI/CD pipelines automated testing deployment strategies infrastructure as code and delivery reliability Promote domain driven design modularity API first design asynchronous communication and event driven integration Collaborate with engineering managers technical leads developers QA engineers data engineers and product teams to resolve technical challenges Mentor technical leaders and engineers in architecture skills decision making and engineering ownership Facilitate architecture reviews technical design workshops knowledge sharing sessions and cross team discussions Present architecture changes engineering practices frameworks and technology investments to technical and non technical stakeholders Guide the design of reliable integrations across internal systems third party providers booking platforms and external services Establish patterns for event driven communication API integration messaging data consistency retries idempotency and failure recovery Collaborate with data teams on Snowflake architecture data ingestion transformation governance quality and analytical access patterns Promote observability through metrics logs distributed tracing dashboards and alerts using Datadog Apply controls for sensitive data access management secrets compliance and secure information handling Experience in software engineering and solution architecture designing and delivering production systems Understanding of distributed systems cloud native architecture microservices modular monoliths API design and system integration Ability to translate business requirements into technical designs and implementation plans Experience leading architecture reviews establishing engineering standards and influencing technical decisions across teams Ability to balance strategic architecture with delivery constraints incremental modernization and pragmatic trade offs Strong written and verbal communication skills for technical and non technical stakeholders Hands on experience with Microsoft Azure and cloud native services Experience with Docker and containerized application deployment Experience with Kubernetes or Azure Kubernetes Service Familiarity with infrastructure as code CI/CD automated deployment environment management and cloud cost optimization Understanding of application security secrets management resilience disaster recovery and least privilege access Experience designing APIs and integrations across distributed systems Understanding of event driven architecture messaging asynchronous processing eventual consistency retries idempotency and dead letter handling Experience with data pipelines data modeling and analytical platforms Hands on experience with Snowflake Familiarity with Azure Event Hubs Service Bus Kafka or equivalent messaging platforms Understanding of data governance data quality access controls and privacy considerations Practical experience adopting AI assisted development tools and integrating AI into software engineering workflows Understanding of the software development lifecycle and AI support across requirements design coding testing review deployment and operations Familiarity with Datadog Experience with observability practices including metrics logs distributed tracing dashboards and alerts Understanding of retrieval augmented generation patterns Familiarity with model APIs and prompt engineering Experience contributing to architecture reviews and technical design workshops Experience supporting automated testing across unit integration contract end to end performance and security testing

Location: Poland Job Overview: We are seeking a skilled and experienced Azure DevOps Engineer with a strong background in Linux administration to join our dynamic team. The ideal candidate will be responsible for managing and optimizing our Azure cloud infrastructure, ensuring seamless CI/CD pipelines, and maintaining the security and efficiency of our Linux-based systems. Senior Level - L3 Required Azure Cloud Experience Key Responsibilities: • Azure Cloud Management: •  Design, implement, and manage Azure infrastructure using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep. •  Automate cloud deployments and manage resources using Azure DevOps pipelines, scripts, and other automation tools. •  Monitor and optimize the performance, scalability, and cost of Azure services. • CI/CD Pipeline Development: •  Create, maintain, and enhance CI/CD pipelines for applications and services hosted on Azure. •  Collaborate with development teams to integrate code repositories, build processes, and deployment automation. •  Ensure proper version control and release management practices are followed. • Linux Administration: •  Manage and maintain Linux servers, ensuring high availability, security, and performance. •  Perform regular system updates, patches, and configuration management using tools like Ansible, Puppet, or Chef. •  Troubleshoot and resolve system-related issues, including networking, security, and application performance. • Security and Compliance: •  Implement and enforce security best practices for both Azure cloud services and Linux servers. •  Conduct regular security assessments and audits, applying patches and updates as necessary. •  Ensure compliance with relevant regulations and industry standards. • Collaboration and Support: •  Work closely with development, QA, and operations teams to streamline processes and improve efficiency. •  Provide support for production systems, including on-call rotations as needed. •  Document processes, configurations, and best practices for both Azure and Linux environments. Required Skills and Qualifications: • Technical Expertise: •  Proven experience with Azure cloud services, including VM management, networking, storage, and security. •  Strong proficiency in Linux system administration, including experience with Red Hat, Ubuntu, or CentOS. •  Hands-on experience with CI/CD tools like Jenkins, Azure DevOps, GitLab, or similar. •  Proficient in scripting languages such as Bash, PowerShell, or Python. •  Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. • Problem-Solving: •  Strong analytical and troubleshooting skills, with the ability to diagnose and resolve complex technical issues. •  Experience in performance tuning, monitoring, and capacity planning for cloud and Linux environments. • Soft Skills: •  Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment. •  Strong documentation skills and attention to detail. •  Ability to work independently and manage multiple priorities in a fast-paced environment. Preferred Qualifications: •  Certification in Azure (e.g., Azure Administrator, Azure DevOps Engineer). •  Experience with cloud-native tools and services like Azure Kubernetes Service (AKS), Azure Functions, or Logic Apps. •  Experience with network security and VPN configuration in cloud environments. •  Familiarity with database management in cloud environments (SQL, NoSQL).

Location: Serbia Job Overview: We are seeking a skilled and experienced Azure DevOps Engineer with a strong background in Linux administration to join our dynamic team. The ideal candidate will be responsible for managing and optimizing our Azure cloud infrastructure, ensuring seamless CI/CD pipelines, and maintaining the security and efficiency of our Linux-based systems. Senior Level - L3 Required Azure Cloud Experience Key Responsibilities: • Azure Cloud Management: •  Design, implement, and manage Azure infrastructure using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep. •  Automate cloud deployments and manage resources using Azure DevOps pipelines, scripts, and other automation tools. •  Monitor and optimize the performance, scalability, and cost of Azure services. • CI/CD Pipeline Development: •  Create, maintain, and enhance CI/CD pipelines for applications and services hosted on Azure. •  Collaborate with development teams to integrate code repositories, build processes, and deployment automation. •  Ensure proper version control and release management practices are followed. • Linux Administration: •  Manage and maintain Linux servers, ensuring high availability, security, and performance. •  Perform regular system updates, patches, and configuration management using tools like Ansible, Puppet, or Chef. •  Troubleshoot and resolve system-related issues, including networking, security, and application performance. • Security and Compliance: •  Implement and enforce security best practices for both Azure cloud services and Linux servers. •  Conduct regular security assessments and audits, applying patches and updates as necessary. •  Ensure compliance with relevant regulations and industry standards. • Collaboration and Support: •  Work closely with development, QA, and operations teams to streamline processes and improve efficiency. •  Provide support for production systems, including on-call rotations as needed. •  Document processes, configurations, and best practices for both Azure and Linux environments. Required Skills and Qualifications: • Technical Expertise: •  Proven experience with Azure cloud services, including VM management, networking, storage, and security. •  Strong proficiency in Linux system administration, including experience with Red Hat, Ubuntu, or CentOS. •  Hands-on experience with CI/CD tools like Jenkins, Azure DevOps, GitLab, or similar. •  Proficient in scripting languages such as Bash, PowerShell, or Python. •  Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. • Problem-Solving: •  Strong analytical and troubleshooting skills, with the ability to diagnose and resolve complex technical issues. •  Experience in performance tuning, monitoring, and capacity planning for cloud and Linux environments. • Soft Skills: •  Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment. •  Strong documentation skills and attention to detail. •  Ability to work independently and manage multiple priorities in a fast-paced environment. Preferred Qualifications: •  Certification in Azure (e.g., Azure Administrator, Azure DevOps Engineer). •  Experience with cloud-native tools and services like Azure Kubernetes Service (AKS), Azure Functions, or Logic Apps. •  Experience with network security and VPN configuration in cloud environments. •  Familiarity with database management in cloud environments (SQL, NoSQL).