Data DevOps Engineer

🏢 Summary: DevOps Engineer role focused on supporting and scaling modern data platforms by combining DevOps practices with data engineering expertise. The position involves building and maintaining CI/CD pipelines, managing cloud-based data infrastructure, and ensuring reliable, automated data workflows. You will collaborate with data teams to optimize performance, scalability, and security of data solutions. 🗂️ Requirements: 4–5 years experience in DevOps or similar role, Hands-on experience with Databricks, Strong experience with AWS, Experience building and maintaining CI/CD pipelines with Jenkins, Background in data engineering or data platforms, Basic to intermediate Python knowledge, Understanding of ETL/ELT processes, Knowledge of distributed data systems 📃 Skills: Jenkins, Databricks, AWS, Python, CICD, ETL, ELT, DevOps, DataEngineering, Cloud, DistributedSystems 🏢 Description: About the Role We are looking for a DevOps Engineer with a strong data background to support and scale modern data platforms. In this role, you will work at the intersection of DevOps and Data Engineering , ensuring reliable, automated, and efficient data pipelines and environments. You will be responsible for maintaining and improving CI/CD processes, supporting cloud-based data platforms, and collaborating with data engineers and analytics teams to enable smooth data operations. Key Responsibilities Design, implement, and maintain CI/CD pipelines using Jenkins . Manage and optimize data platforms based on Databricks . Build and maintain cloud infrastructure on Amazon Web Services . Support deployment, monitoring, and troubleshooting of data pipelines and workflows. Collaborate closely with data engineers to improve reliability and performance of data solutions. Automate infrastructure and operational processes. Ensure best practices in security, scalability, and performance across the platform. Required Skills & Experience 4–5 years of experience in a DevOps Engineer or similar role. Hands-on experience with Databricks . Strong experience with Amazon Web Services . Experience building and maintaining CI/CD pipelines using Jenkins . Background in data engineering or experience working with data platforms. Basic to intermediate knowledge of Python . Understanding of data pipelines, ETL/ELT processes, and distributed data systems. Strong problem-solving skills and ability to troubleshoot complex issues. Good communication skills and ability to work in cross-functional teams.

🏢 Summary: The offer is for a DevOps/Cloud Engineer responsible for designing, deploying, and maintaining scalable and secure AWS infrastructure while automating CI/CD pipelines and system configuration. The role focuses on infrastructure automation, performance monitoring, and ensuring reliable software delivery in collaboration with development and QA teams. 🗂️ Requirements: Hands-on experience with AWS services (EC2, S3, RDS, IAM, VPC), Proficiency in Python scripting for automation, Experience with Jenkins for CI/CD pipelines, Experience with Git for version control, Practical experience with Ansible for configuration management, Strong troubleshooting skills in Linux/Unix environments, Understanding of network protocols 📃 Skills: AWS, EC2, S3, RDS, IAM, VPC, Python, Jenkins, Git, Ansible, Linux, Unix, TCP/IP 🏢 Description: Key Responsibilities Infrastructure Management: Design, deploy, and maintain scalable, secure, and highly available cloud infrastructure across a broad range of AWS services. CI/CD Automation: Build, optimize, and maintain automated CI/CD pipelines using Jenkins and Git to ensure smooth and reliable software delivery. Configuration & Automation: Automate system configuration, provisioning, and repetitive tasks using Ansible and Python scripting. Monitoring & Troubleshooting: Monitor system performance, detect bottlenecks, and proactively resolve infrastructure and deployment issues. Collaboration: Partner with development and QA teams to streamline release processes and foster a strong DevOps culture. Requirements AWS Expertise: Broad, hands-on experience working across a wide variety of AWS services (e.g., EC2, S3, RDS, IAM, VPC). Strong Scripting: Proficiency in Python for automation, scripting, and tooling. CI/CD & Version Control: Solid experience with CI/CD tools (specifically Jenkins) and version control systems (Git). Configuration Management: Practical experience with Ansible for infrastructure automation and configuration. Problem-Solving Skills: Strong troubleshooting skills in Linux/Unix environments and a solid understanding of network protocols.

🏢 Summary: Senior DevOps Engineer role focused on owning and evolving cloud-native infrastructure and CI/CD platforms that support large-scale data processing systems. The position combines hands-on engineering and strategic impact to ensure scalable, secure, and reliable production environments. You will design, automate, and optimize platform services enabling efficient delivery of data-driven applications. 🗂️ Requirements: 5+ years in DevOps, SRE, or infrastructure engineering, Experience supporting distributed production systems, Hands-on experience with public cloud platforms, Strong knowledge of containerization and orchestration, Experience with infrastructure as code, Strong scripting or programming skills, Experience building and maintaining CI/CD pipelines, Knowledge of observability practices and tools, Strong troubleshooting and incident response skills in Linux environments 📃 Skills: AWS, Docker, Kubernetes, Terraform, Python, Bash, CI/CD, Linux, Monitoring, Logging, Alerting 🏢 Description: Senior DevOps Engineer We are looking for an experienced engineer to take ownership of our infrastructure and platform ecosystem, supporting large-scale data processing systems and enabling efficient, reliable software delivery. This role combines hands-on engineering with strategic impact — you will design, build, and evolve the platform that underpins data pipelines and production services, ensuring scalability, security, and operational excellence across environments. Key Responsibilities Own and evolve CI/CD and automation platforms to support fast and reliable delivery of data-driven applications Design and manage cloud-native infrastructure supporting high-volume data ingestion, processing, and serving Build and maintain infrastructure as code to ensure consistency and scalability across environments Manage containerized environments and orchestration platforms to deliver resilient and scalable services Implement observability solutions (monitoring, logging, alerting) to ensure full system visibility and reliability Automate deployment processes, configuration management, and system recovery workflows Collaborate with engineering, data, and compliance teams to deliver secure and production-ready solutions Drive incident management practices and continuous improvement initiatives Contribute to platform strategy, tooling decisions, and mentoring within the team Requirements 5+ years of experience in DevOps, SRE, or infrastructure engineering roles Strong experience supporting production systems in distributed environments Hands-on experience with public cloud platforms (AWS or similar) Solid knowledge of containerization and orchestration technologies (Docker, Kubernetes) Experience with infrastructure as code tools (e.g., Terraform) Strong scripting/programming skills (Python, Bash, or similar) Experience building and maintaining CI/CD pipelines and automation tooling Knowledge of observability practices and tools Strong troubleshooting and incident response skills in Linux environments Excellent communication skills and ability to work cross-functionally Nice to Have Experience working with large-scale data platforms Exposure to regulated environments or compliance requirements Experience contributing to platform or engineering standards

🏢 Summary: Senior DevOps Engineer role focused on owning and evolving cloud-native infrastructure and CI/CD platforms supporting large-scale data processing systems. The position combines hands-on engineering with strategic platform development to ensure scalable, secure, and reliable production environments. You will design, automate, and maintain infrastructure and observability solutions across distributed systems. 🗂️ Requirements: 5+ years in DevOps, SRE, or infrastructure engineering, Experience supporting production systems in distributed environments, Hands-on experience with public cloud platforms (AWS or similar), Strong knowledge of Docker and Kubernetes, Experience with infrastructure as code tools (Terraform), Strong scripting/programming skills (Python or Bash), Experience building and maintaining CI/CD pipelines, Knowledge of observability, monitoring, and logging tools, Strong troubleshooting and incident response skills in Linux environments 📃 Skills: AWS, Docker, Kubernetes, Terraform, Python, Bash, Linux, CICD, Observability, Automation, Infrastructure, Cloud 🏢 Description: Senior DevOps Engineer We are looking for an experienced engineer to take ownership of our infrastructure and platform ecosystem, supporting large-scale data processing systems and enabling efficient, reliable software delivery. This role combines hands-on engineering with strategic impact — you will design, build, and evolve the platform that underpins data pipelines and production services, ensuring scalability, security, and operational excellence across environments. Key Responsibilities Own and evolve CI/CD and automation platforms to support fast and reliable delivery of data-driven applications Design and manage cloud-native infrastructure supporting high-volume data ingestion, processing, and serving Build and maintain infrastructure as code to ensure consistency and scalability across environments Manage containerized environments and orchestration platforms to deliver resilient and scalable services Implement observability solutions (monitoring, logging, alerting) to ensure full system visibility and reliability Automate deployment processes, configuration management, and system recovery workflows Collaborate with engineering, data, and compliance teams to deliver secure and production-ready solutions Drive incident management practices and continuous improvement initiatives Contribute to platform strategy, tooling decisions, and mentoring within the team Requirements 5+ years of experience in DevOps, SRE, or infrastructure engineering roles Strong experience supporting production systems in distributed environments Hands-on experience with public cloud platforms (AWS or similar) Solid knowledge of containerization and orchestration technologies (Docker, Kubernetes) Experience with infrastructure as code tools (e.g., Terraform) Strong scripting/programming skills (Python, Bash, or similar) Experience building and maintaining CI/CD pipelines and automation tooling Knowledge of observability practices and tools Strong troubleshooting and incident response skills in Linux environments Excellent communication skills and ability to work cross-functionally Nice to Have Experience working with large-scale data platforms Exposure to regulated environments or compliance requirements Experience contributing to platform or engineering standards

🏢 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: 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: DevOps Engineer role focused on designing and maintaining AI-driven CI/CD pipelines and deploying machine learning models across cloud and hybrid environments. The position involves integrating AI/ML tools into DevOps processes, optimizing infrastructure for AI workloads, and ensuring security and high availability. The engineer will work with modern cloud platforms and data technologies in international, agile projects. 🗂️ Requirements: Bachelor’s degree in Engineering, IT, Science or related field, Minimum 5 years of experience in DevOps or similar role, Hands-on experience with DevOps tools in AI/ML workflows, Experience with cloud platforms and AI/ML services, Experience deploying and scaling ML models in production, Proficiency in scripting or programming languages, Experience implementing automated testing for AI workflows, Knowledge of secure environments for AI-driven systems 📃 Skills: Jenkins, GitHubActions, Kubernetes, Docker, Terraform, AWS, Azure, GCP, MLflow, Kubeflow, Airflow, Python, Bash, YAML, TensorFlow, PyTorch, Scikit-learn, Grafana, AIOps 🏢 Description: About the role As a DevOps Engineer with AI integration skills, you will collaborate across multiple implementation streams and work closely with agile teams to achieve project and client goals. We are looking for passionate engineers ready to move our projects to the next level by leveraging modern technology stacks and AI-driven solutions. You will participate in international projects based on the latest data technologies and cloud platforms. Your key responsibilities Design and maintain CI/CD pipelines incorporating AI/ML tools and frameworks. Collaborate with AI teams to deploy and scale machine learning models in production environments. Integrate AI-based monitoring, alerting, and analytics tools to improve pipeline visibility and enable predictive analysis. Optimize infrastructure resource utilization for AI applications across cloud, on-premises, and hybrid environments. Ensure strong security practices within AI-driven pipeline ecosystems. Troubleshoot pipeline and infrastructure issues, especially those involving AI components, and ensure high availability. Monitor system performance and implement improvements using AI-enhanced tools. Skills and attributes for success Hands-on experience with DevOps tools such as Jenkins, GitHub Actions, Kubernetes, Docker, and Terraform. Strong understanding of cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services. Familiarity with AI workflow tools such as MLflow, Kubeflow, or Airflow. Proficiency in scripting and programming languages (Python, Bash, YAML, etc.). Ability to implement automated testing frameworks for validating AI models and workflows. Experience building secure environments for AI-driven systems. Experience integrating AI-powered monitoring tools (AIOps, Grafana with ML plugins, or custom AI diagnostics). Requirements Bachelor’s degree in Engineering, IT, Science, or a related technical field. At least 5 years of experience in a corporate IT environment in a similar role. Proven experience with DevOps tools and frameworks used in AI/ML workflows. Strong communication skills and ability to collaborate with global teams. Nice to have Certifications in DevOps or AI/ML (e.g., Kubernetes, AWS Machine Learning Specialty). Experience working with AIOps platforms. Knowledge of specialized data pipeline automation tools for machine learning. Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn in production environments.

🏢 Summary: Fully remote DevOps role focused on streamlining development and operations through automation, CI/CD pipelines, and infrastructure as code. The position involves improving system reliability, managing containerized environments, and optimizing application and infrastructure performance. You will collaborate with development teams to implement DevOps best practices and scalable deployment solutions. 🗂️ Requirements: Experience with continuous integration and continuous delivery, Strong knowledge of containerization technologies, Experience with Infrastructure as Code (IaC), Experience with automation of processes, Experience with GitHub and GitHub Actions, Ability to monitor and troubleshoot infrastructure and applications 📃 Skills: CI/CD, Docker, Kubernetes, IaC, Automation, GitHub, GitHubActions, Grafana, Dynatrace 🏢 Description: Location: fully remote Tasks: Collaborate with cross-functional teams to streamline development and operations processes. Implement and manage continuous integration and delivery pipelines for efficient software delivery. Enhance system reliability through automation of repetitive tasks and proactive identification of potential issues. Work closely with development teams to integrate DevOps best practices into the software development lifecycle. Monitor, troubleshoot, and optimize infrastructure and application performance. Implement and manage containerization and orchestration tools for scalable and efficient deployment. Collaborate on the design and implementation of infrastructure as code (IaC) solutions. Skills: Knowledge of continuous delivery and deployment. Strong background in containerization technologies. Experience with infrastructure as code (IaC) and automation. Ability to collaborate effectively in cross-functional teams. Experience in GitHub and GitHub Actions. Ideally Grafana, Dynatrace.

🏢 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.

🏢 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.