DevOps Engineer with Data background

🏢 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 Data Engineer/DevOps professional to build and maintain scalable data platforms and cloud infrastructure, automate data workflows using CI/CD and Infrastructure as Code, and optimize data pipelines for high availability and security. The role focuses on managing data processing environments and supporting model deployment in collaboration with data teams. 🗂️ Requirements: Proficiency in Linux/Unix administration, Strong Shell scripting skills, Advanced knowledge of Python, Advanced knowledge of SQL, 3–5 years experience in Data Engineering or DevOps, Degree in Computer Science, Data Engineering, or related field 📃 Skills: Linux, Unix, Shell, Python, SQL, Azure, Spark, Databricks, Docker, Kubernetes, Terraform, Ansible, Hadoop, Kafka, CICD 🏢 Description: Key Responsibilities Infrastructure Management: Build and maintain scalable data platforms and cloud-based infrastructure. Automation: Implement CI/CD pipelines for data workflows and automate manual processes using Infrastructure as Code (IaC). Pipeline Optimization: Monitor, troubleshoot, and optimize data processing jobs to ensure high availability. Security & Compliance: Ensure data integrity and security across all environments. Collaboration: Work closely with Data Scientists and Engineers to streamline the deployment of data models. Requirements Systems & Scripting: Strong proficiency in Linux/Unix administration and Shell scripting. Programming: Advanced knowledge of Python and SQL . Mindset: Exceptional analytical and problem-solving skills. Education: Degree in Computer Science, Data Engineering, or a related technical field. Experience: 3–5 years of proven experience in Data Engineering or a DevOps-related role. Nice-to-have Cloud & Big Data: Hands-on experience with Azure , Apache Spark , and Databricks . DevOps Tools: Proficiency with Docker , Kubernetes , CI/CD tools, and IaC (e.g., Terraform, Ansible). Data Ecosystems: Familiarity with Big Data technologies such as Hadoop or Kafka .

🏢 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: Senior AWS DevOps Engineer role focused on designing, automating, and maintaining scalable cloud infrastructure and CI/CD pipelines for distributed applications. The position involves managing Kubernetes environments, implementing Infrastructure as Code, and improving reliability, security, and observability across AWS platforms. You will collaborate with engineering teams to enhance deployment processes and ensure high availability of production systems. 🗂️ Requirements: 5+ years DevOps or Cloud Engineering experience, Strong hands-on experience with AWS services, Experience with Kubernetes and containerized environments, Strong experience with Terraform and Infrastructure as Code, Experience building and maintaining CI/CD pipelines, Strong Linux administration skills, Scripting skills in Bash or Python, Experience with monitoring and logging tools, Knowledge of networking, security, and IAM, Experience with Git-based workflows 📃 Skills: AWS, Kubernetes, EKS, Docker, Terraform, CloudFormation, CICD, Linux, Bash, Python, CloudWatch, Prometheus, Grafana, ELK, Datadog, Git, IAM, Jenkins, GitHub, GitLab, AzureDevOps, Helm, ArgoCD, Serverless, Networking, Security 🏢 Description: About the Role We are looking for a Senior AWS DevOps Engineer to join a fast-paced international engineering team. The ideal candidate will be responsible for designing, implementing, automating, and maintaining cloud infrastructure and CI/CD ecosystems for highly scalable distributed applications. You will work closely with development, security, and infrastructure teams to improve deployment processes, system reliability, scalability, and operational efficiency across cloud environments. Key Responsibilities Design, build, and maintain scalable AWS cloud infrastructure Implement and optimize CI/CD pipelines for automated deployments Manage Kubernetes clusters and containerized workloads Develop Infrastructure as Code (IaC) solutions using Terraform or CloudFormation Improve system observability, monitoring, logging, and alerting Automate operational and deployment processes Ensure high availability, performance, and security of production systems Collaborate with development teams to support cloud-native application delivery Participate in troubleshooting, incident response, and root cause analysis Support platform reliability, scalability, and disaster recovery initiatives Required Skills & Experience 5+ years of experience in DevOps / Cloud Engineering roles Strong hands-on experience with AWS services Experience with Kubernetes (EKS preferred) and Docker Strong experience with Terraform and Infrastructure as Code Experience building and maintaining CI/CD pipelines Strong Linux administration and scripting skills (Bash/Python) Experience with monitoring and logging tools such as CloudWatch, Prometheus, Grafana, ELK, Datadog, etc. Experience with Git-based workflows and automation tools Good understanding of networking, security, IAM, and cloud best practices Experience working in Agile/Scrum environments Strong troubleshooting and communication skills Nice to Have AWS Certifications Experience with GitHub Actions, GitLab CI, Jenkins, or Azure DevOps Experience with serverless architectures Exposure to multi-cloud environments (AWS/Azure) Knowledge of security and compliance frameworks Experience with Helm, ArgoCD, or service mesh technologies

🏢 Summary: DevOps Engineer role focused on designing, maintaining, and optimizing Jenkins-based CI/CD pipelines and automation workflows. The position involves administering Jenkins environments, developing Groovy-based pipelines and shared libraries, and supporting reliable build and deployment processes. The role also includes basic cloud operations and integration with version control systems. 🗂️ Requirements: Proven experience with Jenkins in DevOps or CI/CD role, Strong knowledge of Groovy for Jenkins Pipelines and Shared Libraries, Experience with Jenkins administration (plugins, security, agents, troubleshooting), Experience with CI/CD pipeline design and maintenance, Proficiency in PowerShell scripting, Experience with Git and GitHub workflows, Basic knowledge of AWS and/or Azure operations and troubleshooting 📃 Skills: Jenkins, Groovy, PowerShell, Git, GitHub, AWS, Azure, CI/CD 🏢 Description: About the role We are looking for a DevOps Engineer with strong expertise in Jenkins and CI/CD pipelines to support our customers in maintaining and enhancing their software delivery processes. In this role, you will focus on building, optimizing, and administering Jenkins-based environments , with a strong emphasis on Groovy-based pipelines and automation . You will collaborate closely with development and operations teams to ensure reliable, scalable, and secure build and deployment workflows . This position also offers exposure to modern cloud platforms and DevOps tools, allowing you to continuously expand your skill set while delivering high-quality solutions. Responsibilities Design, implement, and maintain CI/CD pipelines using Jenkins (Declarative & Scripted Pipelines) Develop and manage reusable Jenkins Shared Libraries using Groovy Administer and support Jenkins environments (plugins, security, performance, scalability) Troubleshoot pipeline failures, performance issues, and system bottlenecks Collaborate with development teams to optimize build, test, and deployment workflows Automate operational tasks using PowerShell and other scripting tools Integrate Jenkins with version control systems (e.g., GitHub ) Monitor systems and pipelines, supporting incident resolution Assist with basic cloud operations ( AWS/Azure ) – including log analysis and basic troubleshooting Document pipelines, configurations, and operational procedures Requirements Proven experience with Jenkins in a DevOps or CI/CD role Strong knowledge of Groovy , especially in Jenkins Pipelines and Shared Libraries Solid understanding of Jenkins administration (plugins, security, agents, troubleshooting) Experience with scripting ( PowerShell required; Bash/Python is a plus ) Familiarity with Git and GitHub workflows Basic knowledge of cloud platforms ( AWS and/or Azure ), including: Logging and monitoring Basic troubleshooting (e.g., restarting services or instances) Understanding of CI/CD concepts and DevOps practices Good command of English (written and spoken) for daily communication with stakeholders Nice to have Experience with Artifactory or other artifact repositories Exposure to Docker and containerization Familiarity with monitoring tools (e.g., Datadog ) Basic knowledge of cloud-native tools and services in AWS/Azure

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

🏢 Summary: The offer is for a DevOps Engineer responsible for designing, implementing, and maintaining scalable AWS-based cloud infrastructure within a Platform Engineering team. The role focuses on automation, CI/CD pipeline development, container orchestration, and infrastructure as code. It includes managing Kubernetes clusters, optimizing cloud environments, and ensuring reliable deployment and monitoring processes. 🗂️ Requirements: 3+ years experience with AWS services (EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation), 2+ years experience with CI/CD tools (GitHub Actions, GitLab CI/CD, Jenkins), Experience with containerization and orchestration (Docker, Kubernetes, EKS, ECR, Helm), Experience with Infrastructure as Code tools (Terraform, CloudFormation), Experience with configuration management (Ansible), Scripting skills in Bash or Python, Experience managing cloud environments (dev, staging, production), Experience implementing deployment strategies (blue-green, canary, rollback), Experience with monitoring, alerting, and log aggregation 📃 Skills: AWS, EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, Terraform, Ansible, Docker, Kubernetes, EKS, ECR, Helm, GitHubActions, GitLabCI, Jenkins, Bash, Python 🏢 Description: We are looking for a DevOps Engineer to join our Platform Engineering team. In this role, you will be responsible for designing, implementing, and maintaining cloud infrastructure based on AWS. The ideal candidate has a strong background in automation, containerization, and CI/CD pipelines. Responsibilities: Design and implement scalable AWS infrastructure Manage development, staging, and production environments Monitor and optimize AWS costs Implement disaster recovery strategies Develop and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins Automate deployment processes Implement blue-green deployments Manage rollback strategies and canary deployments Manage Kubernetes clusters (EKS) Optimize Docker images and perform security scanning Develop and maintain Helm charts Automate infrastructure provisioning with Terraform or CloudFormation Manage configuration with Ansible Set up monitoring and alerting systems Aggregate and analyze logs Requirements: 3+ years AWS experience : EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation 2+ years DevOps tools : GitHub Actions, GitLab CI/CD, Jenkins Containerization & orchestration : Docker, Kubernetes, ECR, Helm IaC & automation : Terraform, CloudFormation, Ansible, Bash, Python What can we offer: Flexible forms of employment and working hours (CoE or B2B) An interesting, challenging job in the dynamically developing Capital Group company; Work on innovative projects using modern technologies; Direct impact on shaping the image of the Capital Group’s companies on the market; Possibility to develop competences in a wide range; Attractive salary; Stability of employment and a friendly work atmosphere; Cool benefits, among others integration meetings, internal company competitions, fruit Tuesdays, sweet Thursdays and much more.

🏢 Summary: Design and scale high-throughput data pipelines on cloud platforms to support advanced analytics and AI-driven products. The role focuses on building distributed data architectures in AWS and Databricks, ensuring performance, governance, and data quality. You will collaborate with AI/ML teams to deliver scalable, production-grade data solutions. 🗂️ Requirements: 3+ years of data engineering experience, Strong Python programming skills, Experience with Spark or Scala, Experience building distributed data pipelines in cloud environments, Knowledge of data modeling and data warehousing principles, Bachelor’s or Master’s degree in Computer Science or Engineering 📃 Skills: Python, Spark, Scala, AWS, Glue, EMR, Fargate, StepFunctions, Databricks, SQL, APIs, GenAI, GraphDB 🏢 Description: Data Engineer – Cloud & AI Platforms We’re looking for a Data Engineer to design and scale high-throughput data pipelines supporting advanced analytics and AI-driven products. What You’ll Do Architect and maintain distributed data pipelines in Databricks and AWS (Glue, EMR, Fargate, Step Functions) Ingest and process large volumes of structured and unstructured data (internal, market, third-party, alternative sources) Collaborate with AI/ML and engineering teams to design scalable data architectures and APIs Optimize performance and cost using Spark and cloud-native best practices Implement data governance, privacy, lineage, and access controls Build automated validation, monitoring, and data quality frameworks Evaluate emerging GenAI and data tooling to enhance platform capabilities What You Bring 3+ years of experience in data engineering Strong Python and experience with Spark or Scala Proven experience building distributed pipelines in cloud environments Solid understanding of data modeling, architecture, and warehousing principles Innovative problem-solving mindset Bachelor’s or Master’s degree in Computer Science or Engineering Nice to have: Experience with graph databases.

🏢 Summary: The offer is for an experienced DevOps Engineer with strong Snowflake expertise to support, optimize, and scale modern data infrastructure in a global, data-driven environment. The role focuses on ensuring high availability, performance, and reliability of data platforms while driving automation and CI/CD best practices. It involves managing Snowflake environments and improving cloud and DevOps maturity across distributed teams. 🗂️ Requirements: 6+ years of DevOps engineering experience, Hands-on experience with Snowflake, Experience with cloud environments, Experience with infrastructure automation, Knowledge of CI/CD tools and practices 📃 Skills: Snowflake, DevOps, CI/CD, Cloud, Automation, Monitoring, Logging 🏢 Description: We are looking for an experienced DevOps Engineer with strong Snowflake expertise to join an international, data-driven environment within a global enterprise operating in the consumer goods industry . About the role: The DevOps Engineer will be responsible for supporting, optimizing, and scaling modern data infrastructure with a strong focus on Snowflake. The role involves ensuring high availability, performance, and reliability of data platforms, as well as driving automation and CI/CD best practices across the environment. Key responsibilities: Design, implement, and maintain DevOps processes and infrastructure Manage and optimize Snowflake environments Build and support CI/CD pipelines and deployment automation Ensure monitoring, logging, and operational stability of data platforms Collaborate with international, distributed engineering teams Drive improvements in cloud infrastructure and DevOps maturity Requirements: Strong background in DevOps engineering (6+ years of experience) Hands-on experience with Snowflake Experience with cloud environments and infrastructure automation Knowledge of CI/CD tools and practices Strong problem-solving skills and ability to work in complex environments Work model: Nearshore / Offshore collaboration depending on profile We are looking for a professional who enjoys working in large-scale data environments and is passionate about automation, reliability, and performance optimization.