Cloud Automation Engineer (Python)

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

🏢 Summary: The offer is for an AI Cloud Developer responsible for building and deploying scalable, cloud-native backend applications with integrated AI components. The role focuses on Python and Django development, workflow orchestration, containerization, and cloud infrastructure. It involves developing REST APIs, automating workflows, and maintaining secure, high-performance cloud environments. 🗂️ Requirements: Strong Python programming, Hands-on Django experience, Experience with Django Rest Framework, Practical experience with Apache Airflow, Hands-on Docker experience, Experience with Kubernetes, Proficiency with Git, Solid Linux knowledge, Experience with cloud platforms (AWS, Azure, GCP, or private cloud) 📃 Skills: Python, Django, DRF, Airflow, Docker, Kubernetes, Git, Linux, AWS, Azure, GCP, REST 🏢 Description: Position Overview We are looking for a skilled AI Cloud Developer to join our team and support the design, development, and deployment of intelligent cloud-based applications. The ideal candidate has strong backend development skills in Python and Django , hands-on experience with modern cloud-native technologies, and an interest in integrating AI solutions into production systems. This role focuses on building scalable, secure, and automated solutions that combine backend engineering, workflow orchestration, containerization, and cloud infrastructure. Roles and Responsibilities Design, develop, and maintain backend applications using Python and Django . Build and optimize RESTful APIs using Django Rest Framework (DRF) . Integrate AI/ML components and services into cloud-based applications. Develop and manage workflow automation solutions using Apache Airflow . Deploy and maintain containerized applications using Docker and Kubernetes . Support cloud-native application architecture and scalability. Improve CI/CD and deployment processes. Monitor, troubleshoot, and optimize application performance in cloud environments. Collaborate with DevOps, infrastructure, and data teams. Create and maintain technical documentation. Required Skills and Experience Strong programming skills in Python . Hands-on experience with Django . Experience with Django Rest Framework (DRF) . Practical experience with Apache Airflow . Hands-on experience with Docker . Experience working with Kubernetes . Proficiency with Git version control. Solid understanding of Linux systems . Knowledge of cloud environments (AWS, Azure, GCP, or private cloud). Strong analytical and problem-solving skills. Ability to work independently and in a technical team. Nice to Have Experience with AI/ML integration in production systems . Familiarity with MLOps practices . Experience with Infrastructure-as-Code tools (e.g., Terraform, Ansible). Knowledge of CI/CD pipelines. Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK). Understanding of scalable cloud-native architecture patterns.

🏢 Summary: Senior Cloud Engineer role focused on designing, automating, and maintaining enterprise-scale multi-cloud environments across Azure and AWS. The position centers on Infrastructure as Code, VM provisioning, OS image engineering, compliance automation, and CI/CD operations in secure, highly scalable environments. You will build reliable cloud automation solutions and support platform reliability in complex enterprise ecosystems. 🗂️ Requirements: 3+ years in Cloud Engineering, DevOps, or Platform Engineering, Hands-on experience with Azure and AWS, Experience with Infrastructure as Code (Terraform or CloudFormation), Strong scripting skills (Python, PowerShell, Bash, Shell), Experience with CI/CD pipelines and GitHub Actions, Knowledge of cloud networking, IAM, and cloud security, Experience with Ansible or configuration management tools, Experience with Linux and Windows systems 📃 Skills: Azure, AWS, Terraform, CloudFormation, Python, PowerShell, Bash, Shell, Ansible, GitHub, CI/CD, Packer, Kubernetes, Linux, Windows, IAM, OIDC 🏢 Description: Senior Cloud Engineer About the role We are looking for an experienced Senior Cloud Engineer to join a global infrastructure and cloud automation team responsible for designing, automating, and maintaining enterprise-scale multi-cloud environments across Azure and AWS. In this role, you will focus on cloud infrastructure automation, VM provisioning, OS image engineering, compliance automation, and CI/CD operations in highly scalable and secure environments. You will work closely with platform, infrastructure, and security teams to build reliable and auditable cloud solutions. This position is ideal for someone with strong hands-on experience in Infrastructure as Code, cloud automation, and DevOps practices who enjoys working in complex enterprise ecosystems. Key Responsibilities Multi-Cloud Infrastructure & Automation Design and maintain automated VM provisioning workflows across Azure and AWS environments Develop and maintain Infrastructure as Code solutions using Terraform and CloudFormation Build and maintain CI/CD pipelines and deployment automation processes Manage GitHub Actions integrations and cloud identity federation mechanisms Support event-driven cloud automation workflows Maintain post-provisioning automation using Ansible, PowerShell, and Bash scripting Troubleshoot incidents and ensure platform reliability across multiple environments OS Image Engineering & Compliance Design and maintain secure OS golden images for Azure and AWS platforms Develop and maintain Packer templates for automated image creation Implement OS hardening and compliance standards for Windows and Linux systems Manage integration of security and compliance tooling into cloud environments Support patching, compliance, and lifecycle management processes Cloud Operations & Platform Engineering Maintain monitoring, compliance, and maintenance automation across cloud platforms Support infrastructure scalability, reliability, and disaster recovery capabilities Collaborate with engineering, infrastructure, and security teams on platform improvements Prepare and maintain technical documentation and operational procedures Requirements 3+ years of experience in Cloud Engineering, DevOps, or Platform Engineering roles Strong hands-on experience with Azure and AWS cloud platforms Experience with Infrastructure as Code tools such as Terraform or CloudFormation Strong scripting skills in Python, PowerShell, Bash, or Shell Experience with CI/CD pipelines and GitHub Actions Knowledge of cloud networking, IAM, and cloud security best practices Experience with automation and configuration management tools such as Ansible Experience working with Linux and Windows environments Strong troubleshooting and problem-solving skills Good communication and collaboration skills Nice to have Experience with Packer and image automation Experience with Azure Entra ID / OIDC federation Knowledge of monitoring and observability tools Experience with Kubernetes or containerized environments Cloud certifications (AWS or Azure) Experience in enterprise-scale multi-cloud environmentsd

🏢 Summary: Senior Automation Engineer role focused on designing and implementing cloud and CI/CD automation solutions to enhance secure and scalable software deployments. The position centers on Ansible-based automation integrated with Jenkins pipelines to optimize release processes and operational resilience. Hybrid work model with strong emphasis on scripting, security, and process improvement. 🗂️ Requirements: Minimum 3 years of experience with Ansible automation in Jenkins CI/CD environments, Strong scripting skills in Python, Go, or Bash, Experience integrating automation into CI/CD pipelines, Knowledge of security best practices including secrets management and vulnerability mitigation, Hands-on experience with Agile methodologies, Fluent English (spoken and written), Legal right to work in Europe 📃 Skills: Ansible, Jenkins, CI/CD, Python, Go, Bash, Agile, z/OS, Control-M, IBM, SSP, SEAS, CD 🏢 Description: Unleash innovation — revolutionize automation for seamless cloud and deployment excellence! Krakow-based opportunity with hybrid work model (up to 3 remote days per week). As a Senior Automation Engineer – Cloud and CI/CD Platforms , you will be working for our client, a leading global financial organization empowering digital transformation through cutting-edge automation. You’ll be at the forefront of enhancing software deployment processes, enabling rapid and secure releases that drive business agility and operational resilience. Your main responsibilities: Collaborate with key stakeholders to understand and analyze existing deployment and automation workflows. Design, develop, and implement resilient automation solutions using Ansible, Python, Go, or Bash to optimize manual processes. Integrate automation within Jenkins CI/CD pipelines to streamline software deployments. Apply security best practices, including secrets management and vulnerability mitigation, to safeguard automation processes. Monitor, analyze, and improve process performance, ensuring scalability and robustness. Automate testing of automation workflows to guarantee reliability and consistency. Document procedures, share best practices, and own automation components end-to-end. You're ideal for this role if you have: At least 3 years of experience delivering Ansible-based automation within Jenkins CI/CD environments. Strong scripting skills (Python, Go, Bash or similar). Proven analytical and problem-solving abilities. Fluent command of English, with experience working in a multicultural, global setting. Hands-on experience with Agile methodologies. Ability to work independently and collaboratively within diverse teams. Strong documentation, ownership, and communication skills. It is a strong plus if you have: Experience with vendor-supported IT services. Domain knowledge of file transmission products (e.g., IBM SFG/SSP/SEAS/CD). Knowledge of mainframe (z/OS) job workflows. Familiarity with BMC Control-M or similar job scheduling tools. Understanding of financial services compliance and risk management frameworks. Language Required for the role: Fluent English (spoken and written) Eligibility for the role: Only candidates with an existing legal right to work in Europe 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: Design, deploy, and maintain high-availability Azure cloud environments with a strong focus on AKS and Infrastructure as Code using Terraform. The role centers on secure, scalable, and well-monitored Azure infrastructure, including networking, identity, databases, and disaster recovery. You will drive automation and operational excellence across the Azure ecosystem. 🗂️ Requirements: Experience managing Azure Kubernetes Service (AKS) clusters, Proficiency in Infrastructure as Code using Terraform, Experience with YAML and Helm for Kubernetes deployments, Administration of Azure networking components (VNETs, NSGs), Management of Azure VMs, Storage Accounts, and ACR, Implementation of Azure AD (Entra ID) and IAM policies, Administration of Azure SQL and SQL Server environments, Configuration of monitoring with Azure Monitor, App Insights, and Log Analytics, Design and implementation of disaster recovery and backup strategies 📃 Skills: Azure, AKS, Kubernetes, Terraform, YAML, Helm, VNET, NSG, ACR, AzureAD, IAM, AzureSQL, SQLServer, AzureMonitor, AppInsights, LogAnalytics, Velero 🏢 Description: Role Overview We are looking for a highly skilled Azure Cloud & Platform Engineer to join our infrastructure team. In this role, you will be responsible for designing, deploying, and maintaining high-availability cloud environments with a heavy focus on container orchestration ( AKS ) and Infrastructure as Code ( Terraform ). You will ensure that our Azure ecosystem is secure, scalable, and monitored to the highest standards. Key Responsibilities Kubernetes Orchestration: Manage and optimize Azure Kubernetes Services (AKS) , including cluster configuration, scaling, and lifecycle management. Infrastructure as Code (IaC): Develop and maintain automated infrastructure deployments using Terraform , YAML , and Helm charts. Cloud Administration: Oversee core Azure resources including Networking (VNETs, NSGs), Storage Accounts, Azure VMs, and Container Registries (ACR). Security & Identity: Implement and manage Azure Active Directory (Azure AD/Entra ID) and Identity & Access Management (IAM) policies to ensure a "least privilege" environment. Database Management: Administer Azure SQL environments, including SQL Server, individual databases, and Elastic Pools. Observability & Monitoring: Set up and maintain robust monitoring solutions using Azure Monitor, App Insights, and Log Analytics . Disaster Recovery: Design and implement Disaster Recovery (DR) mechanisms and backup strategies (e.g., using Velero ). Technical Documentation: Create and maintain comprehensive documentation for system configurations, architecture setups, and operational procedures. Preferred Skills Experience with Velero for Kubernetes backups. Knowledge of the ELK Stack (ElasticSearch, Logstash, Kibana). Experience with Open Source monitoring tools: Prometheus, Grafana, and Loki . Familiarity with Ansible for configuration management. Exposure to Apache Kafka messaging systems. Candidate Profile The ideal candidate is a proactive engineer who prioritizes automation over manual intervention. You should be comfortable working in a fast-paced environment, taking ownership of cloud resources, and ensuring that all solutions are documented and resilient. Your approach should combine technical depth in Azure with a broader understanding of DevOps best practices.

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

🏢 Summary: The offer is for a senior Cloud & DevOps professional responsible for designing and deploying scalable cloud-native applications and critical infrastructure. The role focuses on driving CI/CD automation, improving cloud architecture, and ensuring security and quality standards across delivery pipelines. It also involves mentoring teams and leading cloud adoption initiatives in an Agile environment. 🗂️ Requirements: Minimum 5 years experience in cloud-focused or DevOps role, Hands-on experience with Kubernetes, Docker, Terraform, Experience with at least one cloud provider (AWS/Azure/GCP/IBM), Strong knowledge of Jenkins, Ansible, ArgoCD, GitLab, Ability to design and manage CI/CD pipelines, Understanding of RESTful APIs, data quality, security protocols, Experience working with Agile methodologies (SCRUM/Kanban), Familiarity with JIRA and Confluence, Professional English communication skills 📃 Skills: Kubernetes, Docker, Terraform, AWS, Azure, GCP, IBM, Jenkins, Ansible, ArgoCD, GitLab, REST, SQL, PostgreSQL, SQLServer, Python, JavaScript, SpringBoot, Nuxt.js, Vue, JIRA, Confluence 🏢 Description: Responsibilities Design, deploy, and assess scalable native cloud applications and critical infrastructure components. Drive the evolution of CI/CD processes and build/deployment pipelines using Jenkins, Docker, Kubernetes, and GitLab . Consult and collaborate with cross-functional IT teams on cloud architecture, optimization, and security standards. Lead the implementation of test strategies and best practices to ensure high-quality delivery within automated pipelines. Support and mentor delivery teams in adopting new cloud initiatives, ensuring alignment with company security policies. Requirements Minimum 5 years of experience in a similar cloud-focused role with a strong problem-solving mindset. Expertise in Cloud & DevOps tools : Hands-on experience with Kubernetes, Docker, Terraform , and at least one major provider (AWS/Azure/GCP/IBM). Advanced CI/CD proficiency : Strong knowledge of Jenkins, Ansible, ArgoCD , and GitLab version control. Deep understanding of IT Architecture : Proven ability to handle RESTful APIs, Data Quality, and Security protocols. Strong Communication & Leadership : Ability to engage with stakeholders (IT, Business, Clients) in English (written and oral). Agile Mindset : Familiarity with SCRUM/Kanban and tools like JIRA/Confluence. Technical Versatility (Nice to have) : Proficiency in Python, JavaScript and experience with frameworks like SpringBoot or Nuxt.js/VUE . Data Management : Basic knowledge of SQL Server or PostgreSQL.

🏢 Summary: Remote Python Developer role focused on building and managing containerized applications in scalable environments. The position involves developing Python services, deploying them with Docker, and orchestrating workloads on Kubernetes while integrating with CI/CD pipelines. The role emphasizes clean code, performance optimization, and reliable production deployments. 🗂️ Requirements: Strong proficiency in Python, Experience building applications with Flask, Django, or FastAPI, Hands-on experience with Docker and Dockerfiles, Experience deploying and managing applications on Kubernetes, Understanding of REST APIs, Knowledge of microservices architecture, Experience with Git version control, Experience with CI/CD pipelines, Ability to troubleshoot application and container issues 📃 Skills: Python, Flask, Django, FastAPI, Docker, Kubernetes, Helm, REST, Microservices, Git, CICD, AzureDevOps, GitHubActions, Jenkins, DistributedSystems 🏢 Description: Location : Poland, remote job We are seeking a skilled Python Developer with strong experience in building, deploying, and managing applications in containerized environments. The ideal candidate should be proficient in Python programming and have hands-on experience with Docker, Kubernetes, and modern CI/CD practices. Key Responsibilities Develop, maintain, and optimize Python-based applications and services. Design and implement scalable, containerized solutions using Docker. Deploy, monitor, and manage applications on Kubernetes or similar orchestration platforms. Collaborate with DevOps teams to integrate applications into CI/CD pipelines. Write clean, maintainable code and follow best practices for testing and code quality. Troubleshoot and resolve production issues related to application performance or container environments. Work with cross-functional teams to ensure smooth deployment and operation of applications. Document technical designs, workflows, and processes. Required Skills Strong proficiency in Python (frameworks such as Flask, Django, FastAPI are a plus). Solid experience with Docker: image creation, container management, Dockerfiles. Hands-on experience with Kubernetes (pods, deployments, services, helm charts preferred). Good understanding of REST APIs, microservices, and distributed systems. Experience with Git and version control workflows. Familiarity with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, etc.). Strong debugging and problem-solving skills. Good-to-Have Skills Experience with cloud platforms such as AWS, Azure, or GCP. Knowledge of infrastructure-as-code tools (Terraform, Ansible). Understanding of security best practices for containerized applications. Exposure to monitoring/logging tools (Prometheus, Grafana, ELK stack)

🏢 Summary: The offer is for a Senior Azure DevOps Engineer responsible for designing, automating, and maintaining cloud infrastructure and CI/CD processes in Microsoft Azure environments. The role focuses on Infrastructure as Code, containerization, system administration, and deployment automation to support modern cloud-based solutions. 🗂️ Requirements: Strong knowledge of Azure PaaS and IaaS, Hands-on experience with GitHub Actions CI/CD pipelines, Experience administering Linux systems, Experience administering Windows systems, Practical experience with Docker, Practical experience with Kubernetes, Scripting skills in Python, Scripting skills in Bash, Scripting skills in PowerShell, Experience with SonarQube, Experience with Terraform, Experience with Ansible, Solid understanding of networking concepts, Experience with system integration and troubleshooting 📃 Skills: Azure, GitHubActions, Linux, Windows, Docker, Kubernetes, Python, Bash, PowerShell, SonarQube, Terraform, Ansible, Networking, CICD 🏢 Description: We are looking for an experienced Senior Azure DevOps Engineer to join a team responsible for building and maintaining modern cloud environments, as well as automating infrastructure and software delivery processes. Responsibilities: Design, implement, and maintain infrastructure in Microsoft Azure (PaaS, IaaS) Build and develop CI/CD pipelines using GitHub Actions Automate deployment processes and environment management Administer Linux and Windows-based virtual machine environments Manage containerization (Docker) and orchestration (Kubernetes) Develop and maintain automation scripts (Python, Bash, PowerShell) Implement and maintain code quality tools (SonarQube) Manage Infrastructure as Code (Terraform) Automate configuration management (Ansible) Monitor, troubleshoot, and resolve system integration issues Collaborate with development and architecture teams. Requirements: Strong knowledge of Azure cloud services (PaaS, IaaS) Hands-on experience with CI/CD pipelines (GitHub Actions) Experience administering Linux and Windows systems Practical experience with Docker and Kubernetes Scripting skills (Python, Bash, PowerShell) Experience with SonarQube Experience with Terraform and Ansible Solid understanding of networking concepts Experience with system integrations and troubleshooting. Nice to have: Experience with Azure Data Factory and Databricks Familiarity with monitoring tools (e.g., Grafana) Experience administering and securing Azure-managed databases (MS SQL, PostgreSQL)

🏢 Summary: Cloud Engineer role focused on automating and securing global Azure infrastructure by transforming network and security processes into scalable Infrastructure-as-Code. The position bridges Network Infrastructure and DevOps, driving cloud networking architecture, DevSecOps integration, and CI/CD automation. Responsible for ensuring architectural stability, security enforcement, and automated multi-region Azure deployments. 🗂️ Requirements: Expert-level Terraform experience, Deep practical knowledge of Microsoft Azure networking, Experience designing complex network topologies (V-WAN, VNET, BGP), Hands-on experience with CI/CD pipelines (Azure DevOps, GitHub Actions, or Jenkins), Proficiency in scripting (Python, PowerShell, or YAML), Experience implementing Policy-as-Code and security benchmarks (NIST/CIS), Strong knowledge of DevSecOps practices and automated security testing, Experience managing and automating firewall configurations, Experience working in Agile/Scrum/SAFe environments 📃 Skills: Azure, Terraform, V-WAN, VNET, BGP, DevSecOps, CI/CD, AzureDevOps, GitHubActions, Jenkins, Python, PowerShell, YAML, NIST, CIS, Firewall, Agile, Scrum, SAFe 🏢 Description: The Mission We are looking for a highly skilled Cloud Engineer to bridge the gap between Network Infrastructure and DevOps. Your role is to transform manual networking and security tasks into scalable, automated Infrastructure-as-Code (IaC) . You will be responsible for the architectural stability, security enforcement, and automated deployment of our global Azure footprint. Core Responsibilities Infrastructure Automation: Architect and maintain robust IaC patterns using Terraform to ensure consistent, repeatable deployments. Cloud Networking: Design and optimize complex network topologies (V-WAN, VNET, BGP) across multi-region environments. Security Integration (DevSecOps): Implement Policy-as-Code (NIST/CIS benchmarks) to automate security gating and remediation. CI/CD Orchestration: Build and refine end-to-end pipelines (Azure DevOps, GitHub Actions) to automate the lifecycle of cloud resources. Network Security: Manage and automate firewall workflows, ensuring security protocols are integrated directly into the deployment process. Innovation & Troubleshooting: Resolve complex infrastructure bottlenecks and evaluate emerging tools to keep our stack at the cutting edge. Technical Profile Azure Expert: Deep practical knowledge of Microsoft Azure and its networking ecosystem. IaC Champion: Expert-level Terraform skills are non-negotiable. Automation Mindset: Proficient in scripting (Python, PowerShell, or YAML) to drive self-service infrastructure. DevOps Guru: Proven track record of managing environments via CI/CD (ADO, Jenkins, or GitHub). Methodology: Comfortable working in Agile/Scrum/SAFe environments, understanding both the "how" (code) and the "why" (business delivery). Security-First: Solid grasp of DevSecOps, including automated testing frameworks and operational stability controls.