Devops & Data Platform Engineer

ppGreenRouter is an innovative company founded in ****, 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 infrastru