DevOps & Data Platform Engineer

GreenRouter is an innovative company founded in 2016, focused on sustainability and carbon accounting, with a specific specialization in Green Logistics.

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Our core offering is based on proprietary software platforms. GreenRouter helps companies calculate and monitor CO₂e emissions related to transportation activities and business sites, while Ecogentra supports small and medium-sized companies in calculating GHG emissions and tracking and sharing ESG performance with their customers.

Alongside our software products, we support companies through consulting projects focused on Green Logistics and Corporate Carbon Footprint calculation.

We work with leading national and multinational companies across different industries.

Our technology team is lean and cross-functional. Engineers work across application operations, infrastructure, data processing, and automation, with direct responsibility for production systems.

We are looking for a DevOps & Data Platform Engineer to join our IT team.

The role

We are looking for an engineer to work across our production application platform and the data-processing workflows that support it.

The 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.

This is a hands-on engineering role focused on improving platform reliability, maintainability, security, observability, and automation.

What you'll work on
DevOps, platform operations, and releases

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• Take technical ownership of the deployment, configuration, operation, and maintenance of applications and supporting services across development and production environments.
  
• Maintain and evolve Kubernetes deployments, Helm charts, networking, ingress, TLS certificates, persistent storage, configuration, and secrets.
  
• Plan and execute application releases, container image updates, Helm upgrades, database migrations, rollbacks, and post-release verification.
  
• Troubleshoot application, networking, storage, scheduling, configuration, and resource‑related issues across the platform.
  
• Operate and maintain platform services including PostgreSQL, MySQL, ClickHouse, Redis/Valkey, object storage, orchestration, networking, and observability components.
  
• Maintain observability across metrics, logs, traces, dashboards, alerting, and incident diagnosis.
  
• Maintain backup, restore, and disaster‑recovery procedures for stateful services.
  
• Automate recurring operational, housekeeping, and maintenance activities where practical.

Data engineering and workflow orchestration

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• Support the Data Engineering team in developing, maintaining, testing, and troubleshooting Python-based ETL and data-processing pipelines for logistics and transport data from heterogeneous sources and external systems.
  
• Develop, maintain schedule, and monitor Apache Airflow DAGs, improving reliability, error handling, logging, alerting, and automated recovery.
  
• Investigate malformed, incomplete, or inconsistent source data and contribute to automating data‑quality checks, diagnostics, and error reporting.
  
• Replace manual or local data-processing utilities with documented, version‑controlled, repeatable, and automated processes.
  
• Act as technical owner for selected customer data integrations, understanding their data sources, processing requirements, and customer‑specific configuration.
  
• Assess changes in customer data formats or upstream systems, investigate integration issues, and coordinate technical changes with internal teams and customer‑facing stakeholders.

What we're looking for

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• Production experience with Kubernetes, Helm, containers, and Docker.
  
• Experience deploying, operating, and troubleshooting distributed applications in Kubernetes environments.
  
• Good working knowledge of Python for automation, backend services, data processing, or integration development.
  
• Strong SQL skills and practical experience with relational databases. Experience with PostgreSQL, MySQL, and/or ClickHouse is particularly relevant.
  
• Experience developing or operating Apache Airflow workflows.
  
• Working knowledge of observability practices across metrics, logs, traces, dashboards, alerting, and incident diagnosis.
  
• Ability to investigate production incidents thro