ppGreenRouter is an innovative company founded in 2016, focused on sustainability and carbon accounting, with a specific specialization in bGreen Logistics /b. /p pOur core offering is based on proprietary software platforms. bGreenRouter /b helps companies calculate and monitor CO₂e emissions related to transportation activities and business sites, while bEcogentra /b supports small and medium-sized companies in calculating GHG emissions and tracking and sharing ESG performance with their customers. /p pAlongside our software products, we support companies through consulting projects focused on Green Logistics and Corporate Carbon Footprint calculation. /p pWe work with leading national and multinational companies across different industries. /p pOur technology team is lean and cross-functional. Engineers work across application operations, infrastructure, data processing, and automation, with direct responsibility for production systems. /p pWe are looking for a bDevOps Data Platform Engineer /b to join our IT team. /p h3The role /h3 pWe are looking for an engineer to work across our production application platform and the data-processing workflows that support it. /p pThe role has a strong DevOps orientation, covering Kubernetes operations, deployment and release management, observability, infrastructure services, and production reliability, while also contributing to Python-based data pipelines, Apache Airflow workflows, and customer data integrations. /p pThis is a hands-on engineering role focused on improving platform reliability, maintainability, security, observability, and automation. /p h3What you'll work on /h3 h3DevOps, platform operations, and releases /h3 ul liTake technical ownership of the deployment, configuration, operation, and maintenance of applications and supporting services across development and production environments. /li liMaintain and evolve bKubernetes /b deployments, bHelm /b charts, networking, ingress, TLS certificates, persistent storage, configuration, and secrets. /li liPlan and execute application releases, container image updates, Helm upgrades, database migrations, rollbacks, and post-release verification. /li liTroubleshoot application, networking, storage, scheduling, configuration, and resource‑related issues across the platform. /li liOperate and maintain platform services including bPostgreSQL, MySQL, ClickHouse, Redis/Valkey /b, object storage, orchestration, networking, and observability components. /li liMaintain observability across metrics, logs, traces, dashboards, alerting, and incident diagnosis.



/li liMaintain backup, restore, and disaster‑recovery procedures for stateful services. /li liAutomate recurring operational, housekeeping, and maintenance activities where practical. /li /ul h3Data engineering and workflow orchestration /h3 ul liSupport the Data Engineering team in developing, maintaining, testing, and troubleshooting bPython-based ETL and data-processing pipelines /b for logistics and transport data from heterogeneous sources and external systems. /li liDevelop, maintain schedule, and monitor bApache Airflow DAGs /b, improving reliability, error handling, logging, alerting, and automated recovery. /li liInvestigate malformed, incomplete, or inconsistent source data and contribute to automating data‑quality checks, diagnostics, and error reporting. /li liReplace manual or local data-processing utilities with documented, version‑controlled, repeatable, and automated processes. /li liAct as technical owner for selected customer data integrations, understanding their data sources, processing requirements, and customer‑specific configuration. /li liAssess changes in customer data formats or upstream systems, investigate integration issues, and coordinate technical changes with internal teams and customer‑facing stakeholders. /li /ul h3What we're looking for /h3 ul liProduction experience with bKubernetes, Helm, containers, and Docker /b. /li liExperience deploying, operating, and troubleshooting distributed applications in Kubernetes environments. /li liGood working knowledge of bPython /b for automation, backend services, data processing, or integration development. /li liStrong bSQL /b skills and practical experience with relational databases. Experience with bPostgreSQL, MySQL, and/or ClickHouse /b is particularly relevant. /li liExperience developing or operating bApache Airflow /b workflows. /li liWorking knowledge of observability practices across metrics, logs, traces, dashboards, alerting, and incident diagnosis. /li liAbility to investigate production incidents through diagnosis, remediation, verification, and root‑cause analysis.



/li liAbility to translate operational and data‑processing requirements into maintainable and automated technical solutions. /li liAbility to work autonomously across infrastructure, applications, databases, and data‑processing workflows. /li liProfessional written and spoken bItalian and English /b. /li /ul pWe are looking for candidates with bprevious professional experience in DevOps, Platform Engineering, SRE, Data Engineering, or comparable production engineering roles /b. We value practical experience, technical autonomy, and production ownership more than a specific number of years. /p h3Our technical environment /h3 pCandidates are not expected to have prior experience with every component of the stack, but should be comfortable working across comparable technologies. /p ul libPython /b and common data/backend libraries and frameworks /li libKubernetes /b, bHelm /b, bDocker /b, and container registries /li libGit /b /li libPostgreSQL, MySQL, ClickHouse, and Redis/Valkey /b /li libS3-compatible object storage and Azure Blob Storage /b /li liKubernetes networking, ingress controllers, TLS certificates, secrets management, and persistent storage /li liIntegrations using bREST APIs, SFTP, CSV, Excel, XML, and JSON /b /li /ul pOur data domain includes logistics, routing, fleets, vehicles, transportation, and energy consumption. /p h3Nice to have /h3 ul liPrevious experience in bData Engineering, ETL development, workflow orchestration, or data-platform operations /b. /li liExperience operating data-intensive platforms or applications with multiple customer‑specific integrations. /li liExperience with cloud platforms, particularly bAzure /b, and cloud‑based storage services. /li liFamiliarity with security hardening, disaster recovery, and high‑availability architectures. /li /ul h3Contract, compensation, benefits, and working model /h3 ul libEmployment contract: /b permanent, full-time /li libClassification: /b 2nd level /li libGross annual salary (RAL): /b from b€32,000 /b up to b€42,000 gross per year /b /li libWorking model: /b hybrid, with b1 day per week at our office in Milan, Isola district, and 4 days of remote work /b during the probation period. After successful completion of the probation period, employees may brequest a full‑remote working arrangement /b, /li /ul pThe final compensation within this range will be determined based on objective criteria, including relevant professional experience, technical skills, level of autonomy, scope of previous responsibilities, and alignment with the requirements of the role. /p /p #J-18808-Ljbffr

📌 DevOps & Data Platform Engineer (Milano)
🏢 GreenRouter
📍 Milano