GreenRouter is an innovative company founded in ****, focused on sustainability and carbon accounting, with a specific specialization in
Green Logistics
.
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
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
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
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 through diagnosis, remediation, verification, and root?cause analysis.




Ability to translate operational and data?processing requirements into maintainable and automated technical solutions.
Ability to work autonomously across infrastructure, applications, databases, and data?processing workflows.
Professional written and spoken
Italian and English
.
We are looking for candidates with
previous professional experience in DevOps, Platform Engineering, SRE, Data Engineering, or comparable production engineering roles
.
We value practical experience, technical autonomy, and production ownership more than a specific number of years.
Our technical environment
Candidates are not expected to have prior experience with every component of the stack, but should be comfortable working across comparable technologies.
Python
and common data/backend libraries and frameworks
Kubernetes
,
Helm
,
Docker
, and container registries
Git
PostgreSQL, MySQL, ClickHouse, and Redis/Valkey
S3-compatible object storage and Azure Blob Storage
Kubernetes networking, ingress controllers, TLS certificates, secrets management, and persistent storage
Integrations using
REST APIs, SFTP, CSV, Excel, XML, and JSON
Our data domain includes logistics, routing, fleets, vehicles, transportation, and energy consumption.
Nice to have
Previous experience in
Data Engineering, ETL development, workflow orchestration, or data-platform operations
.
Experience operating data-intensive platforms or applications with multiple customer?specific integrations.
Experience with cloud platforms, particularly
Azure
, and cloud?based storage services.
Familiarity with security hardening, disaster recovery, and high?availability architectures.
Contract, compensation, benefits, and working model
Employment contract:
permanent, full-time
Classification:
2nd level
Gross annual salary (RAL):
from
€32,000
up to
€42,000 gross per year
Working model:
hybrid, with
1 day per week at our office in Milan, Isola district, and 4 days of remote work
during the probation period.
After successful completion of the probation period, employees may
request a full?remote working arrangement
,
The 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.
#J-*****-Ljbffr

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