Lead GCP Cloud Engineer

🏢 Summary: Seeking a GCP Cloud Engineer to design, automate, and maintain secure cloud infrastructure in a high-security government environment. The role focuses on GCP infrastructure, IaC, CI/CD automation, cloud security, and collaboration with cross-functional teams. This is a full-time onsite position in Washington, DC requiring eligibility for Top Secret clearance. 🗂️ Requirements: U.S. citizenship, Willingness to obtain Top Secret security clearance, 4+ years of cloud engineering experience, 2+ years of GCP experience, Experience with GCP services, Experience with Terraform, Ansible, or Deployment Manager, Experience with CI/CD tools, Knowledge of Linux systems, Understanding of networking, Experience with Docker and Kubernetes, Experience in Agile/Scrum environments 📃 Skills: GCP, Terraform, Ansible, Jenkins, GitLab, CloudBuild, Linux, Docker, Kubernetes, Python, Bash, Go, BigQuery, IAM, GKE, VPC 🏢 Description: LightFeather is seeking a GCP Cloud 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. Salary: $120,000–$140,000 annually, based on experience level. Clearance Requirement: U.S. citizenship is required for this position due to federal contract requirements and the need to obtain and maintain a Top Secret-level 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 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. LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.

🏢 Summary: Full-time Cloud Engineer role focused on designing, automating, and securing GCP infrastructure in a high-security government environment. The position involves infrastructure-as-code, CI/CD pipeline management, cloud networking, and compliance with federal security standards. Candidates will collaborate with cross-functional teams to optimize cloud operations and deployment workflows. 🗂️ Requirements: U.S. citizenship, Ability to obtain and maintain Top Secret security clearance, 4+ years of cloud engineering experience, 2+ years of GCP experience, Experience with GCP services, Experience with Terraform, Ansible, or Deployment Manager, Experience with CI/CD tools, Knowledge of Linux systems, Knowledge of networking, Experience with Docker and Kubernetes, Experience working in Agile/Scrum environments 📃 Skills: GCP, Terraform, Ansible, DeploymentManager, GitLab, Jenkins, CloudBuild, Linux, Docker, Kubernetes, ComputeEngine, CloudFunctions, VPC, IAM, GKE, BigQuery, FedRAMP, NIST, Python, Bash, Go, AWS, Azure 🏢 Description: LightFeather is seeking a Cloud Engineer – GCP 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. Salary: $120,000–$140,000 annually, based on experience level. Clearance Requirement: U.S. citizenship is required for this position due to federal contract requirements and the need to obtain and maintain a Top Secret-level 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 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. LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.

🏢 Summary: Senior GCP Cloud Engineer role focused on designing, automating, and maintaining secure cloud infrastructure in a high-security government environment. The position involves GCP infrastructure management, CI/CD automation, cloud security, and collaboration with engineering and government stakeholders. This is a full-time onsite role in Washington, DC requiring eligibility for Top Secret clearance. 🗂️ Requirements: U.S. citizenship, Ability to obtain Top Secret security clearance, 4+ years of cloud engineering experience, 2+ years of GCP experience, Experience with GCP services, Experience with Terraform, Ansible, or Deployment Manager, Experience with CI/CD tools, Knowledge of Linux systems, Knowledge of networking, Experience with Docker and Kubernetes, Experience in Agile/Scrum environments 📃 Skills: GCP, Terraform, Ansible, DeploymentManager, GitLab, Jenkins, CloudBuild, Linux, Docker, Kubernetes, ComputeEngine, CloudFunctions, VPC, IAM, GKE, BigQuery, FedRAMP, NIST, Python, Bash, Go, AWS, Azure 🏢 Description: LightFeather is seeking a Senior GCP Cloud 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. Salary: $120,000–$140,000 annually, based on experience level. Clearance Requirement: U.S. citizenship is required for this position due to federal contract requirements and the need to obtain and maintain a Top Secret-level 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 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. LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.

🏢 Summary: Full-time GCP Cloud/DevOps Engineer role focused on designing, automating, and maintaining secure cloud infrastructure in a high-security government environment. The position involves GCP infrastructure management, IaC, CI/CD automation, cloud security, and collaboration with engineering and government stakeholders. Requires in-person work in Washington, DC and eligibility for a Top Secret security clearance. 🗂️ Requirements: U.S. citizenship, Ability to obtain and maintain Top Secret security clearance, 4+ years of cloud engineering experience, 2+ years of GCP experience, Experience with GCP services, Experience with Terraform, Ansible, or Deployment Manager, Experience with CI/CD tools, Knowledge of Linux systems, Understanding of networking, Experience with Docker and Kubernetes, Experience in Agile/Scrum environments 📃 Skills: GCP, Terraform, Ansible, DeploymentManager, GitLab, Jenkins, CloudBuild, Linux, Docker, Kubernetes, ComputeEngine, CloudFunctions, VPC, IAM, GKE, BigQuery, FedRAMP, NIST, Python, Bash, Go, AWS, Azure 🏢 Description: Pay Range: $120,000 - $140,000 USD LightFeather is seeking a GCP Cloud/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: In-Person (5 days/week) in Washington, DC Job Type: Full Time Clearance Requirement: U.S. citizenship is required for this position due to federal contract requirements and the need to obtain and maintain a Top Secret-level 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 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. LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.

🏢 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: Senior GCP Cloud Engineer role focused on building, automating, and securing scalable cloud infrastructure on Google Cloud Platform. The position involves managing GKE clusters, developing Terraform-based infrastructure as code, and implementing high-performance CI/CD pipelines with a strong DevSecOps approach. The engineer is responsible for cloud networking, security, and observability to ensure resilient, production-ready environments. 🗂️ Requirements: 6+ years DevOps/Cloud experience, Hands-on experience with GCP services (GKE, ComputeEngine, CloudSQL, IAM), Strong Terraform proficiency, Strong Kubernetes knowledge, Docker experience, Experience with CI/CD pipeline automation, Experience integrating security into CI/CD workflows, Knowledge of cloud networking (VPC, Firewalls), Experience with monitoring and logging tools, Legal work permit in Poland 📃 Skills: GCP, GKE, ComputeEngine, CloudSQL, CloudStorage, IAM, Terraform, Kubernetes, Docker, CICD, GitHubActions, GitLab, Jenkins, DevSecOps, VPC, Firewalls, CloudArmor, SecretManager, CloudMonitoring, CloudLogging 🏢 Description: Project info: We are seeking a Senior GCP Cloud Engineer to drive the implementation, automation, and security of our cloud infrastructure. In this role, you will be the technical engine behind our Google Cloud Platform (GCP) environment, responsible for building scalable GKE clusters, robust Terraform modules, and high-velocity CI/CD pipelines. You should be a hands-on expert who defaults to automation, possesses a “security-first” mindset, and can translate architectural blueprints into production-ready, resilient code. Responsibilities: 1. GCP Service Management Deployment & Scaling: Manage and optimize core GCP services including Compute Engine (MIGs), Cloud SQL (backups/replication), and Cloud Storage. Identity & Access: Implement and maintain granular IAM policies and service account permissions to ensure least-privileged access across all environments. 2. Kubernetes & Container Orchestration GKE Operations: Manage the full lifecycle of Google Kubernetes Engine (GKE) clusters, including upgrades, autoscaling configuration, and resource monitoring. Containerization: Build and secure Docker images and manage container orchestration using Kubernetes best practices (Ingress, ConfigMaps, Secrets). 3. Infrastructure as Code (IaC) & DevSecOps Terraform Development: Write and maintain modular, reusable Terraform code to provision and manage cloud resources as a single source of truth. Pipeline Automation: Build and optimize CI/CD pipelines that automate testing, deployment, and DevSecOps security scanning (using GitHub Actions, GitLab, or Jenkins). 4. Networking, Security & Monitoring Cloud Networking: Configure and troubleshoot Cloud Networking components, including VPCs, Shared VPCs, Firewalls, and Cloud Load Balancing. Security & Compliance: Implement cloud-native security tools (Cloud Armor, Secret Manager) to protect applications and data. Monitoring & Alerting: Design and manage observability dashboards using Cloud Monitoring and Cloud Logging to ensure proactive issue detection and system reliability. Job requirements: 6+ Years in DevOps/Cloud: Proven experience managing production-grade cloud environments with a focus on GCP. GCP Services Expertise: Hands-on experience with GKE, Compute Engine, Cloud SQL, and IAM. (Associate or Professional Cloud Engineer certification is a plus). IaC Specialist: Strong proficiency in Terraform for infrastructure automation. K8s Expert: Solid understanding of Kubernetes architecture, container orchestration, and Docker. DevSecOps Mindset: Experience integrating security checks into automated CI/CD workflows. Networking & Monitoring: Practical knowledge of cloud networking (VPC/Firewalls) and system monitoring tools. Must possess a legal work permit in Poland Benefits: General benefits - depends on the form of employment Hybrid work model combining office & remote work Attractively located office with collaboration spaces Onsite parking space for employees Referral program with financial bonus Life Insurance Budget for development (including language courses and others), clear career path with the possibility to gain experience in international environment Access to internal Learning Platform with multiple trainings oriented for professional growth Lifestyle benefits: Access to MyBenefit platform (Multisport included) Team Building activities Charity initiatives Working environment promoting diversity and inclusion Health benefits: Private medical care - Platinum Package

🏢 Summary: Azure Cloud/DevOps Engineer role supporting secure federal cloud environments with a focus on Azure infrastructure, Terraform-based IaC, GitLab CI/CD, and Azure Virtual Desktop. The position involves cloud automation, networking, compliance, and DevOps operations in a hybrid on-site Washington, D.C. setting requiring a Secret clearance. 🗂️ Requirements: Active Secret clearance, U.S. citizenship, 3+ years Azure Cloud Engineering experience, 3+ years CI/CD pipeline experience, 3+ years Terraform experience, 3+ years GitLab experience, 4+ years PowerShell scripting experience, 5+ years Cloud Engineering, DevOps, or Systems Engineering experience, Experience with Azure core services and architecture, Experience with Azure networking, Experience with Azure Virtual Desktop, Knowledge of FedRAMP, NIST, and RMF, Ability to work on-site in Washington, D.C. 4 days/week 📃 Skills: Azure, Terraform, GitLab, PowerShell, Bash, YAML, JSON, AVD, FSLogix, AzureAD, M365, CI/CD, VNets, NSGs, VPN, ExpressRoute, RBAC, KeyVault, IAM, FedRAMP, NIST, RMF, LogAnalytics, Docker, Kubernetes, AKS, FinOps 🏢 Description: LightFeather is seeking a Azure Cloud/DevOps Engineer design, implement, and manage secure cloud solutions for federal IT environments. You'll play a key role in supporting Azure infrastructure, automation, and security, applying DevOps best practices to drive performance, strengthen compliance, and improve operational efficiency. Salary: $130,000–$170,000 annually, based on experience level. Clearance Requirement: U.S. citizenship is required for this position due to federal contract requirements and the need to obtain and maintain a Secret-level security clearance. Key Responsibilities - Design, deploy, and maintain Azure cloud infrastructure including VMs, VNets, Storage, Azure AD, and PaaS services. - Manage and optimize Azure networking components (VNets, NSGs, Load Balancers, VPN/ExpressRoute connectivity). - Develop and maintain Terraform templates as the primary IaC tool. - Support automation via PowerShell, Bash, YAML/JSON, and GitLab pipelines. - Deploy, configure, and manage AVD environments including host pools, session hosts, FSLogix profile containers, and Azure AD/M365 integrations. - Provide troubleshooting and performance optimization for AVD users. - Build, maintain, and troubleshoot CI/CD pipelines in GitLab. - Automate cloud operations, system configuration, and monitoring tasks. - Implement secure cloud practices aligned with federal requirements (RBAC, Key Vault, IAM, encryption standards). - Ensure compliance with NIST, RMF, FedRAMP, and agency-specific controls. - Use Azure Monitor, Log Analytics, and related tools to analyze system health, diagnose issues, and enforce SLAs. - Work with engineering, security, and program staff to support ongoing cloud modernization efforts. - Support onsite collaboration with customer stakeholders. Required Qualifications - Active Secret or higher clearance - 3+ years of experience with Azure Cloud Engineering - 3+ years of experience with CI/CD pipelines - 3+ years of experience using Terraform for IaC - 3+ years of experience using GitLab - Minimum of 4 years experience with PowerShell scripting - 5+ years of experience in Cloud Engineering, DevOps, or Systems Engineering - Strong hands-on experience with Microsoft Azure core services and architecture - Proficiency with Terraform, PowerShell, and GitLab CI/CD - Experience supporting Azure networking (VNets, routing, NSGs, VPN/ExpressRoute) - Hands-on experience with Azure Virtual Desktop (AVD) in production environments - Understanding of federal cloud security frameworks (FedRAMP, NIST, RMF) - Ability to work on-site in Washington, DC four days per week Preferred Qualifications - Experience supporting DoD or federal agency cloud environments - Experience with Docker/Kubernetes (AKS) - Azure serverless tools (Functions, Logic Apps, Event Grid) - Cost optimization using Azure Cost Management / FinOps practices LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.

🏢 Summary: Senior GCP Cloud DevOps Engineer role focused on building and managing scalable, secure GCP infrastructure in a financial services environment. The position involves engineering Infrastructure as Code solutions, optimizing cloud networking, and supporting CI/CD automation. You will drive cloud transformation by delivering resilient, compliant, and high-performance cloud platforms. 🗂️ Requirements: 5+ years experience with GCP infrastructure build and configuration, Strong Linux administration skills (preferably Red Hat), Experience with Infrastructure as Code using Terraform, Experience with CI/CD tools and automation, Scripting or programming skills (Python, Ruby, Java, JavaScript, Go, Groovy, or Scala), Strong knowledge of GCP networking (VPC, XPN, subnets, NAT, routing), Experience with IAM and cloud security controls, Understanding of monitoring and logging solutions, Fluent English, Legal right to work in the EU 📃 Skills: GCP, Terraform, Ansible, Linux, RedHat, Python, Ruby, Java, JavaScript, Go, Groovy, Scala, CI/CD, IAM, OAuth, VPC, XPN, NAT, SDN, Docker, Networking, Monitoring, Logging 🏢 Description: Unleash cloud innovation — shape the future of scalable, automated infrastructure! Krakow-based opportunity with hybrid work model (up to 3 remote days per week). As a Senior GCP Cloud DevOps Engineer , you will be working for our client, a leader in the financial services industry, driving cloud transformation and building highly resilient, scalable GCP infrastructure. Your expertise will empower the company to deliver innovative applications and services with maximum performance and security. Your main responsibilities: Build and manage the GCP foundation platform to facilitate application deployments across the organization. Engineer solutions on GCP using Infrastructure as Code (e.g., Terraform) and integrate cloud services such as IAM, networking, logging, containers. Manage SDN in GCP, ensuring optimal network configuration including VPCs and XPN. Consume and support centrally provided hardened OS (Linux and Windows), ensuring security and compliance. Implement monitoring, logging, and security standards to meet operational risk policies. Support CI/CD pipelines and implement patches through automation tools. Develop operational documentation and assist in fault diagnosis and support for applications teams. Contribute to change management processes, impact assessments, and out-of-hours support on a rotational basis. You're ideal for this role if you have: 5+ years of experience with cloud service providers, especially GCP, in infrastructure build and configuration. Strong Linux administration and scripting skills, preferably with Red Hat. Experience working with CI/CD tools and automation scripting (Terraform, Ansible, etc.). Programming skills in Python, Ruby, Java, JavaScript, Go, Groovy, or Scala. Solid understanding of DevOps principles, Infrastructure as Code, and network configuration (VPC, XPN, subnets, NAT, routing). Knowledge of security and compliance tools such as IAM, OAuth, and cloud monitoring/auditing solutions. Excellent communication skills in English (fluent). It is a strong plus if you have: GCP Certifications (preferably professional level). Linux Certification or Windows Server Certification. Experience working within highly regulated industries like financial services. Language Required for the role: Fluent English – both written and spoken. Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: Hybrid Cloud Engineer (GCP) role focused on owning and evolving a global enterprise cloud platform using Infrastructure as Code. The position involves designing, deploying and maintaining scalable, secure and reliable cloud solutions while collaborating with engineering teams and mentoring others. 🗂️ Requirements: 6+ years of hands-on experience with GCP, Strong experience with Terraform and Infrastructure as Code, Experience in complex cloud and on-prem environments, Proficiency in Python, Proficiency with Linux command line, Experience with CI/CD pipelines, English level B2 or higher 📃 Skills: GCP, Terraform, IaC, Python, Linux, GitHub, GitHubActions, AzureDevOps, CI/CD 🏢 Description: Cloud Engineer (GCP) | Hybrid(4 remote days,1 office day), Warsaw You will: Take ownership of the platform used in projects across a global enterprise Design, develop and deploy infrastructure as code using Terraform and GitHub Drive platform reliability, ensuring solutions are scalable, secure and maintainable Collaborate closely with Platform Engineering, Cloud Architects and development teams Mentor engineers and provide technical guidance across the team Create and maintain documentation, standards and best practices You bring: 6+ years of hands-on GCP experience Strong Terraform/IaC skills and experience in complex cloud + on-prem environments Proficiency in Python and Linux command line Experience with CI/CD pipelines (GitHub Actions, Azure DevOps) English B2+

🏢 Summary: Role focused on designing and managing scalable, secure Google Cloud infrastructure for a high-traffic AI-driven product. The position involves architecting GCP environments, implementing Infrastructure as Code, building AI-ready architectures, and automating CI/CD and observability processes. The engineer will develop cloud-native, containerized microservices and AI agent integrations to support an AI-first ecosystem. 🗂️ Requirements: Minimum 5 years experience in Cloud Engineering, Systems Administration or SRE, Hands-on experience with Google Cloud Platform, Experience with Docker and Kubernetes, Experience building CI/CD pipelines, Experience with Infrastructure as Code using Terraform, Strong knowledge of Linux systems, Scripting skills in Bash, Python or Go, Experience building and deploying AI agents, Knowledge of Agentic Systems or Agentic Flow concepts, Ability to design AI-first cloud architectures 📃 Skills: GCP, CloudRun, GKE, VPC, IAM, Terraform, Docker, Kubernetes, Linux, Bash, Python, Go, CI/CD, Grafana, CloudMonitoring, BigData, LLM, n8n 🏢 Description: GCP Cloud Solutions Engineer 📍 Lokalizacja: Warszawa, hybryda Stawka: 28 000 – 30 000 PLN netto (B2B)/msc Dołącz do zespołu AI R&D w Locon i projektuj infrastrukturę GCP dla produktu, z którego korzysta ponad milion użytkowników każdego dnia. Jako GCP Solutions Engineer odpowiadasz za całe środowisko chmurowe, które napędza te rozwiązania: projektujesz architekturę, wdrażasz IaC, optymalizujesz koszty i definiujesz standardy dla wewnętrznych zespołów inżynieryjnych. 🚀 Wyzwania jakie na Ciebie czekają: Projektowanie i rozwój infrastruktury w Google Cloud Platform z naciskiem na bezpieczeństwo, skalowalność i wysoką dostępność (Cloud Run, GKE, VPC, IAM) Definiowanie i wdrażanie Infrastructure as Code (IaC) przy użyciu Terraform Optymalizacja kosztów chmury oraz projektowanie przepływów danych w środowisku Big Data Projektowanie rozwiązań AI gotowych na integrację z modelami językowymi i automatyzacją opartą o LLM Budowa agentów AI i systemów agentic flow (n8n) wspierające wewnętrzne procesy projektowe i analityczne Automatyzacja procesów CI/CD i rozwój pipeline’ów Wdrażanie rozwiązań opartych architekturze mikroserwisowej opartej na konteneryzacji (Cloud Run, Kubernetes, Docker) Budowa observability by default: logi, metryki, alerty (Grafana, Cloud Monitoring) 🎯 Czego szukamy? Minimum 5 lat doświadczenia w Cloud Engineeringu , administracji systemami lub SRE Praktyczna znajomość Google Cloud Platform , najlepiej potwierdzone certyfikatami Doświadczenie z Dockerem i Kubernetesem Umiejętność budowania CI/CD pipeline'ów i Infrastructure as Code (Terraform) Znajomość systemów Linux i skryptowania (Bash, Python lub Go) Doświadczenie w budowie i wdrażaniu Agentów AI Praktyczna znajomość koncepcji Agentic Systems / Agentic Flow Doświadczenie w vibecodingu i pracy z AI w procesie developmentu Umiejętność projektowania architektury pod rozwiązania AI-first ⭐ Mile widziane: Certyfikaty chmurowe (GCP, AWS Solutions Architect, Azure) oraz z zakresu bezpieczeństwa Świadomość zagadnień Cyber Security w chmurze Doświadczenie w optymalizacji kosztów chmury Praktyka w projektowaniu przepływów Big Data Locon to firma z ponad 30-letnim doświadczeniem w tworzeniu oprogramowania dla bezpieczeństwa rodzin, której zaufało ponad milion użytkowników. Mamy m.in . aplikacje mobilne, innowacyjne smartwatche dla dzieci, lokalizatory GPS dla zwierząt, zaawansowane opaski SOS dla seniorów, alarmy osobiste oraz lokalizatory samochodowe – rozwiązania, które zapewniają spokój ducha i poczucie bezpieczeństwa dla każdego, na całe życie. Weszliśmy w kolejny etap rozwoju: budujemy organizację AI-first , w której sztuczna inteligencja i agenci AI stają się integralną częścią naszych produktów, procesów oraz sposobu pracy. AI traktujemy jako warstwę infrastrukturalną – projektujemy architekturę systemów tak, aby była gotowa na integrację z modelami językowymi, agentami i automatyzacją opartą o LLM. 🎁 Zobacz co możesz zyskać: Budżet na szkolenia, certyfikaty i konferencje — szczególnie w obszarze AI 🎓 Ścieżka rozwoju w kierunku Lead Cloud Architect Realny wpływ na infrastrukturę i procesy Pracę z misją społeczną — rozwijanie technologii zwiększających bezpieczeństwo rodzin Prywatną opiekę medyczną (Medicover) 🩺 Kartę sportową (Medicover Sport, Multisport)🏃 Możliwość wyboru konfiguracji sprzętowej dopasowanej do Twoich potrzeb. Proces rekrutacyjny: Rozmowa HR (30-45 min) Zadanie techniczne live (45-60min) Spotkanie techniczne w biurze z Liderem RnD (45-60min) Informacja zwrotna