Head of Cloud DevOps

🏢 Summary: DevOps Tech Lead role focused on leading two teams to design, build, and maintain scalable cloud infrastructure and data platforms on GCP. The position combines hands-on DevOps engineering with architecture oversight, ensuring reliable CI/CD pipelines, infrastructure as code, and secure cloud-native environments. Close collaboration with engineering and business stakeholders is required to deliver robust, production-ready solutions. 🗂️ Requirements: Proven experience in DevOps Engineer or DevOps Lead role, Strong hands-on experience with Google Cloud Platform, Experience designing and maintaining CI/CD pipelines, Advanced knowledge of Terraform and Infrastructure as Code, Experience with cloud-native and container-based environments, Understanding of solution architecture principles, Experience with authentication and identity management systems, Ability to lead technical discussions and guide DevOps teams 📃 Skills: GCP, GitHub, GitHubActions, AzureDevOps, Terraform, CI/CD, CloudRun, IaC, SSO, PingID, Containers 🏢 Description: About the Role We are looking for an experienced DevOps Tech Lead to guide and coordinate the work of two DevOps-focused teams responsible for building and maintaining modern cloud infrastructure and data platforms. In this role, you will combine technical leadership, architecture oversight, and hands-on DevOps expertise to ensure scalable, secure, and reliable delivery pipelines. You will work closely with engineering, data, and business stakeholders to translate requirements into robust technical solutions, while supporting teams in building and maintaining high-quality cloud environments. Key Responsibilities Technical Leadership Provide technical leadership for two DevOps teams working on cloud infrastructure, pipelines, and data platform components. Support engineers in designing scalable and maintainable cloud architectures. Guide teams in implementing best practices in DevOps, CI/CD, and infrastructure automation. Ensure consistency of architecture, tooling, and development standards across teams. DevOps & Cloud Engineering Design and oversee CI/CD pipelines using GitHub , GitHub Actions , and Azure DevOps . Build and maintain infrastructure on Google Cloud Platform , including services such as Google Cloud Run . Implement Infrastructure as Code using Terraform . Ensure reliable, automated deployment processes and maintain DevOps pipelines across environments. Support integration of authentication and identity services such as PingID and SSO solutions. Architecture & Data Platforms Contribute to solution architecture decisions for cloud-native platforms and data-driven systems. Support the development of data pipelines and analytical environments , particularly in domains related to life sciences or bioinformatics. Collaborate with architects and engineering teams to ensure alignment between architecture and delivery. Business & Stakeholder Collaboration Work closely with business analysts and stakeholders to translate business needs into technical solutions. Ensure clear communication between architecture, DevOps, and product teams. Facilitate technical discussions and support decision-making for complex technical challenges. Required Skills & Experience Proven experience in a DevOps Engineer, DevOps Lead, or DevOps Tech Lead role. Strong hands-on experience with Google Cloud Platform . Experience designing and maintaining CI/CD pipelines with GitHub , GitHub Actions , and Azure DevOps . Advanced knowledge of Terraform and Infrastructure as Code practices. Experience working with cloud-native services and container-based environments. Understanding of solution architecture principles . Experience working with authentication and identity management (SSO, PingID or similar tools). Strong problem-solving skills and ability to lead technical discussions. Experience collaborating with business stakeholders and cross-functional teams.

🏢 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: Full-time DevOps Engineer role focused on designing, automating, and securing cloud infrastructure within Google Cloud Platform in a high-security government environment. The position centers on infrastructure-as-code, CI/CD pipeline development, and cloud optimization while ensuring compliance with federal security standards. Hybrid role based in Washington, D.C. with Top Secret clearance requirement. 🗂️ Requirements: U.S. Citizenship, Willingness to obtain Top Secret clearance, 4+ years cloud engineering experience, 2+ years hands-on GCP experience, Experience with GCP services (Compute Engine, Cloud Functions, VPC, IAM, GKE, BigQuery), Experience with Infrastructure-as-Code tools, Experience with CI/CD tools, Strong Linux knowledge, Networking knowledge, Containerization experience, Agile/Scrum experience 📃 Skills: GCP, Terraform, Ansible, DeploymentManager, GitLab, Jenkins, CloudBuild, Linux, Docker, Kubernetes, VPC, IAM, GKE, BigQuery, Python, Bash, Go, FedRAMP, NIST 🏢 Description: LightFeather is seeking a DevOps Engineer who will play a critical role in designing, implementing, and maintaining cloud infrastructure solutions within Google Cloud Platform (GCP). This role requires expertise in infrastructure automation, cloud security, networking, and CI/CD pipeline development. The ideal candidate will work closely with cross-functional teams to drive cloud optimization and automation efforts in a high-security government environment. This role offers an exciting opportunity to shape cloud automation and infrastructure strategies in a high-impact government environment. Location: Hybrid, On-site 4 days/week in Washington, D.C. 20036 and 1 day Telework Job Type: Full Time Citizenship: U.S. Citizenship Required Clearance Requirement: Willing to obtain a Top Secret security clearance Key Responsibilities Design, implement, and manage secure and scalable cloud infrastructure using GCP. Develop and maintain infrastructure-as-code (IaC) using Terraform, Deployment Manager, or similar tools. Support CI/CD pipeline automation, integration, and management. Collaborate with software engineers, security personnel, and government stakeholders to support development and deployment workflows. Monitor system performance, troubleshoot issues, and ensure cloud services meet SLAs. Implement cloud best practices and ensure compliance with federal security standards (e.g., FedRAMP, NIST). Provide documentation and knowledge sharing with the broader engineering team. Required Qualifications Willing to obtain a Top Secret security clearance 4+ years of experience in cloud engineering, with at least 2 years on GCP. Hands-on experience with GCP services such as Compute Engine, Cloud Functions, VPC, IAM, GKE, and BigQuery. Experience with infrastructure-as-code tools like Terraform, Ansible, or Deployment Manager. Familiarity with CI/CD tools such as GitLab CI, Jenkins, or Cloud Build. Solid understanding of Linux systems, networking, and containerization (Docker, Kubernetes). Experience working in an Agile/Scrum environment. Preferred Skills GCP Professional Cloud Architect or DevOps Engineer certification. Experience supporting federal government contracts and understanding of ATO processes. Familiarity with other cloud platforms (AWS, Azure) is a plus. Scripting skills in Python, Bash, or Go. Why Join LightFeather? At LightFeather, you're not just taking a job—you're joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You'll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry.

🏢 Summary: Remote AI Lead DevOps Engineer role responsible for defining and executing the MLOps and CI/CD strategy for enterprise AI platforms. The position focuses on architecting secure, compliant, and fully automated ML lifecycle governance, ensuring auditability, reproducibility, and large-scale reliability. The role combines technical leadership with hands-on design of cloud-native, DevSecOps-driven AI infrastructure. 🗂️ Requirements: 8–10 years DevOps or Cloud Engineering experience, Minimum 3 years in technical leadership or architect role, Strong knowledge of end-to-end ML lifecycle, Expertise in CI/CD pipeline design and implementation, Advanced Infrastructure as Code experience, Experience with SAST and DAST implementation, Strong IAM and access control management in cloud, Ability to design observability frameworks for ML systems, Experience with configuration management in multi-cloud environments, Knowledge of database scaling and security, Experience implementing model governance and auditability practices 📃 Skills: MLOps, CI/CD, DevSecOps, Azure, AzureDevOps, GitHubActions, Jenkins, Terraform, CloudFormation, SAST, DAST, IAM, Ansible, Puppet, MySQL, PostgreSQL, MongoDB, Observability, Git 🏢 Description: This is a remote position. We are looking for an AI Lead DevOps Engineer to spearhead the MLOps strategy for our high-impact AI accounts. With 8–10 years of experience, you will provide the technical leadership necessary to design robust, compliant, and highly automated AI platforms. You aren't just managing pipelines; you are architect the entire lifecycle governance—ensuring reproducibility, audibility, and security at an enterprise scale. Key Responsibilities: Strategic Leadership: Provide technical direction for the DevOps squad, defining the CI/CD and MLOps roadmap for the account. Model Governance & Evaluation: Implement automated model evaluation pipelines to track accuracy, precision, and recall metrics in production. Enterprise Security: Lead the DevSecOps strategy, ensuring all AI deployments comply with enterprise security standards and global data regulations. Platform Enablement: Architect self-service platforms that allow ML engineers to deploy models with minimal friction while maintaining strict governance guardrails. Auditability & Reproducibility: Ensure that every ML experiment is fully auditable through sophisticated pipeline and dataset versioning strategies. Mentorship: Mentor senior and junior engineers, driving best practices in automation, IaC, and cloud-native architecture. Requirements 8–10 years of experience in DevOps/Cloud Engineering, with at least 3 years in a technical leadership or architect-level role. Deep understanding of the end-to-end ML lifecycle (training, validation, deployment, and retraining loops). Mastery across Azure DevOps, GitHub Actions, and Jenkins. Expert-level Terraform or CloudFormation skills, including modular architecture and cross-account cloud deployments. Significant experience implementing SAST/DAST tools and managing complex IAM/Access Control frameworks in a cloud environment. Ability to design custom observability frameworks that track model drift, pipeline failures, and infrastructure ROI. Advanced knowledge of configuration management tools like Ansible or Puppet for complex multi-cloud environments. Solid understanding of database scaling and security for MySQL, PostgreSQL, and MongoDB. Understanding of how DevOps practices support responsible AI (e.g., bias tracking and audit logs). Exceptional ability to collaborate with Architects and Data Scientists to translate high-level AI needs into operational reality. Native or C1-level English, with the ability to present technical strategies to senior stakeholders. Benefits Professional training programs Work with a team that’s recognized for its excellence. We’ve been featured in the Deloitte Technology Fast 50 & FT 1000 rankings. We’ve also received the Great Place To Work® certification for five years in a row

🏢 Summary: The offer is for an experienced DevOps Engineer to design, build, and optimize scalable cloud-native infrastructure and CI/CD ecosystems for large-scale, globally distributed enterprise systems. The role focuses on automation, reliability, monitoring, and continuous delivery across modern cloud platforms. You will collaborate with engineering and operations teams to modernize and maintain highly available cloud environments. 🗂️ Requirements: 5+ years experience in DevOps or software engineering for scalable distributed systems, Strong experience with Google Cloud Platform (GCP), Strong experience with Microsoft Azure, Hands-on experience with AKS, VNET, Key Vault, Application Insights, Logic Apps, Storage Accounts, Function Apps, Experience with CI/CD tools such as GitHub Actions or Azure DevOps, Experience with infrastructure automation, Experience with monitoring and logging solutions, Experience working in Agile environments, Strong troubleshooting and problem-solving skills, Understanding of security and operational best practices 📃 Skills: GCP, Azure, AKS, VNET, KeyVault, ApplicationInsights, LogicApps, StorageAccounts, FunctionApps, GitHubActions, AzureDevOps, CI/CD, Kubernetes, IaC, Monitoring, Logging, Cloud, DevOps 🏢 Description: With over 20 years of market experience, Intellias brings together technologists, creators, and innovators across Europe, North and Latin America, and the Middle East. Join our international team and help solve the advanced technology challenges of tomorrow. We are looking for an experienced DevOps Engineer who is passionate about building scalable cloud infrastructure, automating delivery processes, and improving system reliability in large-scale enterprise environments. In this role, you will work closely with engineering and operations teams to design, maintain, and optimize modern cloud-native infrastructure and CI/CD ecosystems supporting globally distributed systems. Project Overview Our client is a leading multi-brand technology solutions provider serving business, government, education, and healthcare customers across the United States, the United Kingdom, and Canada. A Fortune 500 company and member of the S&P 500 Index, the client was founded in 1984 and employs approximately 10,000 coworkers worldwide. Together with Intellias, the client is building and modernizing enterprise-scale platforms and cloud infrastructure supporting highly available, globally distributed systems. Responsibilities Design, build, and maintain CI/CD pipelines and infrastructure supporting continuous integration, delivery, and deployment Collaborate closely with development and operations teams to ensure high-quality, reliable, and efficient software delivery Automate manual operational processes, including testing, deployments, monitoring, and infrastructure management Develop and maintain monitoring, logging, and alerting solutions to proactively identify and resolve production issues Troubleshoot complex production incidents, perform root cause analysis, and implement long-term remediation plans Manage and optimize cloud infrastructure resources to ensure scalability, reliability, performance, and cost-efficiency Implement security best practices and support compliance with industry standards and regulations Continuously improve platform stability, automation, and operational efficiency Stay up to date with emerging DevOps technologies and industry best practices Requirements 5+ years of hands-on experience in software engineering or DevOps for highly scalable, highly available, globally distributed systems Strong experience with cloud platforms, particularly Google Cloud Platform (GCP) and Microsoft Azure Hands-on experience with Azure services, including: AKS VNET Key Vault Application Insights Logic Apps Storage Accounts Function Apps Experience with DevOps and CI/CD tooling such as GitHub Actions, Azure DevOps, or similar platforms Strong understanding of infrastructure automation and cloud-native environments Experience with monitoring, logging, and observability solutions Proven track record of delivering solutions in Agile environments Strong troubleshooting and problem-solving skills Good understanding of security and operational best practices Nice to Have Experience with Infrastructure-as-Code tools Experience working with Kubernetes and containerized environments Exposure to enterprise-scale cloud modernization initiatives Knowledge of cost optimization and cloud governance practices Perks and Benefits: Flexible work schedule Fixed financial bonus issued upfront on a quarterly basis, covering the average market price of private medical care and sport card - B2B contract Present on the occasion of birthday, wedding, child birth E-learning accounts for Coursera, O'Relly, Udemy Corporate language school This is an exciting opportunity to join a large-scale international project and contribute to building modern, reliable, and scalable cloud infrastructure solutions.

🏢 Summary: Long-term B2B opportunity for an AI DevOps Lead Engineer to design and manage cloud infrastructure on Azure and GCP, focusing on IaC, CI/CD, and Kubernetes clusters. The role centers on building secure, scalable environments, automating processes, and enhancing monitoring and security frameworks. Hybrid work model with strong emphasis on cloud-native and DevOps best practices. 🗂️ Requirements: 4+ years in DevOps, SRE, or Cloud Engineering, Strong knowledge of Linux/UNIX, Production experience with GCP and/or Azure, Experience managing GKE and/or AKS clusters, Proficiency in Terraform for Infrastructure as Code, Experience building CI/CD pipelines with Jenkins, Scripting skills in Python and/or Bash 📃 Skills: GCP, Azure, GKE, AKS, Terraform, Jenkins, Python, Bash, Linux, Kubernetes, CI/CD, IaC 🏢 Description: Introduction & Summary: We are seeking an accomplished AI DevOps Lead Engineer with a strong foundation in cloud infrastructure management and DevOps practices. The ideal candidate will have over 4 years of experience in DevOps, SRE, or Cloud Engineering roles, with a proven record of designing and implementing robust cloud solutions, particularly on GCP and Azure platforms. Strong expertise in Infrastructure as Code (IaC) and CI/CD pipeline management is imperative, along with scripting capabilities in Python and Bash. What we offer: Long Term B2B Contract Rate: 200 PLN/ H +VAT Hybrid Cracow ( 1-2 times per week) Main Responsibilities: Design, build, and manage core infrastructure on Azure using IaC principles. Administer and enhance GKE and AKS clusters, ensuring security, scalability, and resilience. Evolve Jenkins pipelines and developer tooling for improved automation and efficiency. Implement security controls and automate vulnerabilities remediation. Develop a robust monitoring and alerting framework for operational visibility. Implement security gateways for improved governance. Key Requirements: 4+ years of experience in a DevOps, SRE, or Cloud Engineering role. Deep knowledge of Linux/UNIX operating systems. Production experience with GCP and/or Azure, including management of clusters (GKE, AKS). Strong proficiency with Infrastructure as Code using Terraform. Proven experience with CI/CD pipeline development using Jenkins. Scripting and automation skills in Python and/or Bash. Nice to Have: Experience with monitoring tools like Prometheus, Grafana, and Loki. Familiarity with container management using Docker. Knowledge of additional cloud services and platforms. Other Details: This position offers the opportunity to work in a dynamic environment that fosters innovation and collaboration. Candidates can work remotely or on-site, depending on personal preferences; flexibility in schedule is provided to facilitate a productive work-life balance.

🏢 Summary: Hands-on DevOps Engineer role focused on designing and implementing CI/CD, Infrastructure as Code and GitOps practices within an Azure-based environment. The position centers on automation, secure pipeline delivery and standardizing DevOps practices using GitHub and Azure DevOps. You will enable developer self-service, improve release automation and ensure scalable, compliant cloud infrastructure deployments. 🗂️ Requirements: Strong hands-on experience with GitHub Actions, Strong hands-on experience with Azure DevOps Pipelines, Strong experience designing and implementing CI/CD pipelines, Practical experience with Infrastructure as Code using Bicep, Experience with GitOps principles and version-controlled workflows, Strong knowledge of Azure cloud services, Understanding of Azure identity and access management, Experience with secrets management and pipeline security, Experience implementing DevOps practices across multiple teams, Ability to troubleshoot pipelines, deployments and infrastructure 📃 Skills: Azure, GitHub, AzureDevOps, Git, Bicep, CI/CD, GitOps, KeyVault, AppServices, AzureSQL, ContainerApps, AKS, Flux, ArgoCD, ApplicationInsights, LogAnalytics 🏢 Description: We are looking for a hands-on DevOps Engineer to support the design, implementation and improvement of DevOps capabilities across a modern Azure-based engineering landscape. This role is focused on technical delivery, automation, CI/CD, Infrastructure as Code, GitOps practices and developer enablement using GitHub, Azure DevOps and Azure-native services. The ideal candidate should be able to design and implement reusable DevOps solutions, improve pipeline quality, support release automation and help teams adopt standardized engineering practices. What project we have for you Our client is the fastest-growing global manufacturing company. An international corporation with over a hundred years of history, internationally recognized brands and Reduced-Risk Products. Intellias’ mission is to support its strategy and efforts in the Digital and e-commerce space (e-commerce and other apps mobile apps, payment gateways, loyalty system, search engine, employee management, identity management, etc.). A newly conceptualized Digital Eco System is comprised of a set of capabilities including an online shop & website, linking online & offline, customization & personalization, engagement & membership, digital product & services main differences. What you will do CI/CD Pipeline Design and Implementation Design, build and maintain CI/CD pipelines using: GitHub Actions Azure DevOps Pipelines Create reusable pipeline templates and workflows. Implement build, test, scan, package and deployment stages. Improve pipeline reliability, performance and execution time. Support secure-by-default pipelines with integrated quality and security checks. GitHub and Azure DevOps Engineering Practices Implement and maintain good practices for: Branching strategies Pull request workflows Code review checks Build validation Release approvals Configure and maintain: Repository permissions Branch protection rules Pipeline permissions Service connections Support consistent usage of GitHub and Azure DevOps across multiple products and teams. GitOps and Environment Automation Implement GitOps-based delivery practices where applicable. Ensure environment changes are managed through version-controlled definitions. Support pull-request-based changes for infrastructure and application configuration. Help establish clear separation between: Source code Infrastructure definitions Environment configuration Deployment manifests Support automated synchronization of desired state into target environments. Ensure traceability between code changes, infrastructure changes and deployments. Infrastructure as Code and Azure Delivery Design, implement and maintain Infrastructure as Code using: Bicep Azure-native deployment tooling Create reusable IaC modules and deployment templates. Automate provisioning of Azure resources and environments. Ensure infrastructure is: Version-controlled Repeatable Reproducible Secure by default Aligned with enterprise standards Support deployment automation for Azure services such as App Services, Azure Container Apps, Azure SQL, Key Vault, Storage Accounts, Application Insights and related services. Release and Deployment Automation Implement safe and repeatable release processes. Support deployment strategies such as: Environment promotion Blue/green deployments Canary releases, where applicable Rollback procedures Automate release notes, versioning and deployment tracking where possible. Reduce manual deployment steps and operational risk. Security, Secrets and Compliance Automation Integrate security checks into CI/CD pipelines, including: Dependency scanning Secret scanning Static code analysis Infrastructure validation Container image scanning, where applicable Implement secure secrets handling using Azure Key Vault, GitHub secrets and Azure DevOps variable groups/service connections. Support least-privilege access patterns for pipelines and deployment identities. Help ensure DevOps workflows are auditable and compliant with enterprise requirements. Developer Experience and Self-Service Enablement Create reusable templates, examples and documentation for development teams. Simplify pipeline onboarding for new projects. Provide self-service DevOps building blocks for common scenarios. Improve the developer experience by reducing manual steps and unclear processes. Support teams in adopting standardized DevOps workflows. GitHub and Azure DevOps Organization Administration Administer and configure GitHub organizations and Azure DevOps organizations/projects. Manage organization-level settings, policies and governance controls. Support standardized repository and project setup for new teams. Ensure consistent governance across GitHub repositories and Azure DevOps projects. What you need for this Core Technical Skills Strong hands-on experience with: GitHub Actions Azure DevOps Pipelines Git Azure cloud services Strong experience designing and implementing CI/CD pipelines. Practical experience with Infrastructure as Code, preferably Bicep. Experience with GitOps principles and version-controlled delivery workflows. Good understanding of Azure identity, permissions, service connections and managed identities. Experience with pipeline security, secrets management and deployment automation. DevOps and Delivery Expertise Experience implementing DevOps practices across multiple applications or teams. Strong understanding of: CI/CD design Release automation Environment management Version control strategies Pull request workflows Quality gates Deployment approvals Ability to troubleshoot pipeline, deployment and infrastructure issues. Ability to create reusable technical patterns rather than one-off solutions. Azure and Platform Engineering Knowledge Experience working with Azure-native services. Understanding of cloud resource provisioning, configuration and monitoring. Nice to Have Experience with .NET application delivery. Experience with Azure Container Apps or Kubernetes-based deployments. Experience with GitOps tools such as Flux or Argo CD. Exposure to GitHub Copilot or AI-assisted development workflows. Experience with Azure Monitor, Application Insights or Log Analytics. Familiarity with container-based delivery using Azure Container Apps or AKS. Understanding of platform engineering concepts. 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.

🏢 Summary: DevOps position supporting the design, implementation, and maintenance of enterprise-grade mission systems, networks, and applications within AWS environments. The role focuses on Infrastructure as Code, CI/CD automation, containerization, database management, and cloud architecture best practices. Requires active TS/SCI with Full Scope Polygraph and strong hands-on experience with AWS and DevOps toolchains. 🗂️ Requirements: U.S. Citizenship, Active TS/SCI clearance with Full Scope Polygraph, Hands-on experience with Terraform, Hands-on experience with AWS CloudFormation, Experience managing AWS services (EC2, Lambda, S3, RDS, VPC, IAM, CloudWatch), Experience implementing and managing CI/CD pipelines, Proficiency in Bash scripting, Proficiency in Python scripting, Experience with Docker, Experience with Git-based workflows and version control, Experience with monitoring and logging systems, Experience with PostgreSQL and MySQL administration, Strong understanding of networking fundamentals and security best practices 📃 Skills: Terraform, CloudFormation, AWS, EC2, Lambda, S3, RDS, VPC, IAM, CloudWatch, Jenkins, GitLab, GitHub, Bash, Python, Docker, Git, Prometheus, Alertmanager, PostgreSQL, MySQL 🏢 Description: Clearance & Citizenship Requirements This position requires U.S. Citizenship and an active TS/SCI security clearance with Full Scope Polygraph. Candidates who do not currently hold these credentials will not be considered. Description: DevOps position supporting a team specializing in designing, engineering, implementation, development, and maintenance of enterprise-quality mission systems, networks, and applications. Mandatory Skills: • Hands-on experience writing, testing, and maintaining Infrastructure as Code with Terraform (required) and CloudFormation (required) • Hands-on experience configuring, managing, and troubleshooting AWS services including EC2, Lambda, S3, RDS, VPC, Security Groups, NACLs, IAM, CloudWatch, and other core services • Hands-on experience implementing and managing CI/CD pipelines (Jenkins preferred; GitLab CI, GitHub Actions, or similar acceptable) • Strong proficiency in Bash (required) and Python (required) scripting • Hands-on experience with containerization technologies (Docker required) • Hands-on experience integrating and deploying diverse software systems: AWS cloud services, open-source applications, COTS/GOTS products, and custom applications • Strong understanding of networking fundamentals, security best practices, IAM policies, and AWS architecture best practices • Hands-on experience with Git-based workflows, branching strategies, and version control best practices • Hands-on experience with monitoring, logging, and alerting systems (Prometheus/Alertmanager, CloudWatch, or similar) • Hands-on experience with database self-hosting including installation, configuration, backup/recovery, high availability, and performance tuning (PostgreSQL and MySQL) Optional Skills: • Experience with secrets management solutions (AWS Secrets Manager or similar) • Knowledge of disaster recovery, backup strategies, and continuity planning • Familiarity with API gateways and modern microservices patterns • Experience with cost optimization practices in AWS • Experience deploying and managing data platform components: Apache Spark, Trina, Apache Ranger, Apache Iceberg, Apache Superset, data catalogs • Familiarity with data lakehouse architectures and supporting infrastructure • Background deploying and supporting AI/ML workloads or model serving infrastructure • Experience mentoring team members on DevOps and cloud best practices • Familiarity with additional monitoring tools (Grafana, ELK stack) • Experience integrating customer Enterprise services (SSO, etc.) • Experience with NoSQL databases (DynamoDB, MongoDB, etc.)

🏢 Summary: The offer is for an AI DevOps Lead Engineer responsible for designing and managing cloud infrastructure on Azure and GCP with a strong focus on Infrastructure as Code and CI/CD automation. The role involves leading infrastructure initiatives, administering Kubernetes clusters, and implementing secure, scalable, and resilient cloud solutions. It is a long-term B2B contract with a hybrid work model in Cracow. 🗂️ Requirements: 4+ years experience in DevOps, SRE, or Cloud Engineering, Strong knowledge of Linux/UNIX systems, Production experience with GCP and/or Azure, Experience managing GKE and/or AKS clusters, Proficiency in Infrastructure as Code with Terraform, Experience building and maintaining CI/CD pipelines with Jenkins, Scripting skills in Python and/or Bash 📃 Skills: GCP, Azure, GKE, AKS, Terraform, Jenkins, Python, Bash, Linux, UNIX, CI/CD, IaC 🏢 Description: We are seeking an accomplished AI DevOps Lead Engineer with a strong foundation in cloud infrastructure management and DevOps practices. The ideal candidate will have over 4 years of experience in DevOps, SRE, or Cloud Engineering roles, with a proven record of designing and implementing robust cloud solutions, particularly on GCP and Azure platforms. Strong expertise in Infrastructure as Code (IaC) and CI/CD pipeline management is imperative, along with scripting capabilities in Python and Bash. What we offer: Long Term B2B Contract Rate: 200 PLN/ H +VAT Hybrid Cracow ( 1-2 times per week) Main Responsibilities: Design, build, and manage core infrastructure on Azure using IaC principles. Administer and enhance GKE and AKS clusters, ensuring security, scalability, and resilience. Evolve Jenkins pipelines and developer tooling for improved automation and efficiency. Implement security controls and automate vulnerabilities remediation. Develop a robust monitoring and alerting framework for operational visibility. Implement security gateways for improved governance. Key Requirements: 4+ years of experience in a DevOps, SRE, or Cloud Engineering role. Deep knowledge of Linux/UNIX operating systems. Production experience with GCP and/or Azure, including management of clusters (GKE, AKS). Strong proficiency with Infrastructure as Code using Terraform. Proven experience with CI/CD pipeline development using Jenkins. Scripting and automation skills in Python and/or Bash. Nice to Have: Experience with monitoring tools like Prometheus, Grafana, and Loki. Familiarity with container management using Docker. Knowledge of additional cloud services and platforms.

🏢 Summary: Oferta dotyczy roli DevOps odpowiedzialnej za projektowanie, wdrażanie i utrzymanie nowoczesnych narzędzi deweloperskich oraz infrastruktury, w tym kompleksowych pipeline’ów CI/CD. Stanowisko koncentruje się na automatyzacji procesów, implementacji Infrastructure as Code oraz zapewnieniu wysokich standardów bezpieczeństwa w środowiskach lokalnych i chmurowych. Rola obejmuje również wsparcie zespołów developerskich oraz zarządzanie podatnościami i aktualizacjami systemów. 🗂️ Requirements: Minimum 2-3 lata doświadczenia w DevOps, Zaawansowana znajomość Windows i Linux, Doświadczenie z Kubernetes, Helm i Ingress, Praktyka w CI/CD z użyciem Azure DevOps, TeamCity lub Octopus, Doświadczenie z Ansible, Praktyczne wykorzystanie Infrastructure as Code, Znajomość Terraform, Znajomość MS SQL Server, Znajomość sieci i protokołów: Subnets, Firewalls, Routing, DNS, HTTP, TLS/SSL, Doświadczenie w zarządzaniu podatnościami i patch remediation, Doświadczenie z narzędziami do skanowania podatności, Praktyczna znajomość Microsoft Azure, Umiejętność tworzenia skryptów automatyzujących 📃 Skills: Azure, Kubernetes, Helm, Ingress, Terraform, Ansible, AzureDevOps, TeamCity, Octopus, PowerShell, Linux, Windows, SQLServer, DNS, HTTP, TLS, SSL, Subnets, Firewalls, Routing, Veracode, Qualys, Gradar, AWS, GCP, Bash 🏢 Description: Główne obowiązki: Projektowanie, konfiguracja oraz utrzymanie nowoczesnych narzędzi deweloperskich i infrastruktury informatycznej (w tym kompleksowe wdrażanie pipeline'ów CI/CD). Automatyzacja oraz ciągła optymalizacja procesów wytwarzania i wdrażania oprogramowania (release management). Implementacja środowisk w modelu Infrastructure as Code (IaC) zgodnie z wymogami projektowymi. Praca z powłokami PowerShell oraz Linux Shell, a także weryfikacja, testowanie i analiza wyników kodu dostarczanego przez inne zespoły. Zapewnienie rygorystycznych standardów bezpieczeństwa systemów oraz proaktywna ochrona przed zagrożeniami cybernetycznymi. Identyfikacja problemów technicznych, diagnozowanie błędów oraz opracowywanie i wdrażanie odpowiednich aktualizacji i poprawek (fixes). Ścisła współpraca z zespołami programistycznymi w celu zagwarantowania zgodności procesu deweloperskiego z przyjętymi procedurami i standardami architektonicznymi. Wymagania: Minimum 2-3 lata udokumentowanego doświadczenia zawodowego w obszarze DevOps. Zaawansowana znajomość systemów operacyjnych Windows i Linux, baz danych Microsoft SQL Server oraz środowisk Kubernetes (w tym wdrażanie i utrzymanie aplikacji z wykorzystaniem Helm i Ingress). Ekspercka wiedza z zakresu dostarczania skalowalnych, odpornych na awarie i zautomatyzowanych procesów budowania oprogramowania (w środowiskach lokalnych i chmurowych) przy użyciu narzędzi takich jak: Azure DevOps, TeamCity, Octopus oraz Ansible (w tym dla wysokiej jakości potoków danych). Praktyczne doświadczenie w pracy z podejściem Infrastructure as Code (z silną preferencją dla narzędzia Terraform). Ugruntowana wiedza dotycząca komponentów sieciowych, protokołów oraz zabezpieczeń ( m.in . Subnets, Firewalls, Routing, DNS, HTTP, TLS/SSL). Znajomość procesów oraz frameworków związanych z zarządzaniem podatnościami i mitygacją luk w zabezpieczeniach (patch remediation). Biegłość w procesach aktualizacji platform, ze szczególnym uwzględnieniem niwelowania luk bezpieczeństwa (np. obsługa certyfikatów, wzmacnianie siły szyfrowania, konfiguracja SSL/TLS). Doświadczenie w automatyzacji zarządzania aktualizacjami oraz znajomość narzędzi do skanowania podatności (np. Veracode, Gradar, Qualys lub pokrewne). Praktyczna znajomość środowisk chmurowych, ze szczególnym uwzględnieniem Microsoft Azure (doświadczenie z AWS lub Google Cloud będzie stanowić zaletę). Umiejętność tworzenia skryptów w celu automatyzacji codziennych, rutynowych zadań administracyjnych. Mile widziane: Posiadanie oficjalnych certyfikatów potwierdzających kompetencje w obrębie wiodących platform chmurowych (AWS / Azure / GCP). Posiadanie certyfikatu Microsoft Certified: Azure Solutions Architect Expert (AZ-305).