Informacje o stanowisku

About DriveNets 

DriveNets is a rapidly growing software company that has created a radical new way for service providers and hyperscalers to build their networking infrastructure. DriveNets Network Cloud and DriveNets Network Cloud-AI are new innovative networking solutions that apply the cloud architectural approach to high-scale networking. They bring together the scalability of standard Ethernet Clos architecture with the high performance and reliability of service provider networking, delivering optimal networking performance, scale and cost structure for service providers and hyperscalers.

The Roles

We are building a cloud-native network orchestration platform running on Kubernetes, responsible for automating the lifecycle of L2/L3 services across tier-1 ISP router networks.
In this role, you will design and implement Temporal-based workflows in Python to orchestrate long-running, failure-prone network operations such as service provisioning, modification, reconciliation, and teardown. The work involves coordinating multiple distributed systems, handling partial failures safely, and providing strong observability and auditability for network services at scale.
This is a backend, systems-oriented role focused on workflow correctness, reliability, and operational robustness, not simple scripting or device-by-device automation.

For Senior: 

• Strong backend engineering experience with Python - at least 5 years

For Lead: 

• Strong backend engineering experience with Python - at least 8 years; with at least 3+ years in a leadership role (managing teams of 4+ engineers)

For both roles:

• Experience working with SQL and no-SQL DBs
• Hand-on experience with K8S and Azure/AWS based workloads
• Hands-on experience implementing workflow-based orchestration (Temporal or equivalent)
• Understanding of networking fundamentals: L2/L3 concepts, routing, MPLS basics
• Network service lifecycle concepts
• Experience working with observability systems (Prometheus, Grafana or equivalent)
• Experience writing production-quality code: clear APIs, structured error handling, tests
• Upper-intermediate or higher English level

Nice-to-have qualifications

• Experience with L2VPN / L3VPN provisioning in service-provider networks
• Hands-on experience with network automation technologies: NETCONF/YANG, gNMI/OpenConfig, SNMP, streaming telemetry
• Familiarity with router vendors and platforms (Cisco, Juniper, Nokia, Arista, etc.)

About DriveNets 

DriveNets is a rapidly growing software company that has created a radical new way for service providers and hyperscalers to build their networking infrastructure. DriveNets Network Cloud and DriveNets Network Cloud-AI are new innovative networking solutions that apply the cloud architectural approach to high-scale networking. They bring together the scalability of standard Ethernet Clos architecture with the high performance and reliability of service provider networking, delivering optimal networking performance, scale and cost structure for service providers and hyperscalers.

The Roles

We are building a cloud-native network orchestration platform running on Kubernetes, responsible for automating the lifecycle of L2/L3 services across tier-1 ISP router networks.
In this role, you will design and implement Temporal-based workflows in Python to orchestrate long-running, failure-prone network operations such as service provisioning, modification, reconciliation, and teardown. The work involves coordinating multiple distributed systems, handling partial failures safely, and providing strong observability and auditability for network services at scale.
This is a backend, systems-oriented role focused on workflow correctness, reliability, and operational robustness, not simple scripting or device-by-device automation.

,[Collaborate with network architects, SRE, and platform teams to define service models and operational behavior, Design and implement temporal-based workflows and activities in Python, deployed as microservices on Kubernetes, Implement end-to-end orchestration for Network L2 / L3 VPN service lifecycle, Configuration generation and deployment, State verification and reconciliation (pre-checks, provisioning, rollback), Integrate with platform and network systems: inventory, topology, IPAM, service catalogs, Router interfaces (NETCONF, gNMI, REST, CLI-based systems), Add observability and operability: metrics, logs, tracing, workflow visibility, Clear service and workflow audit trails, Additionally for lead: lead, mentor, and grow a team of engineers, fostering a culture of collaboration, quality, and innovation Requirements: Python, Data base, K8s, Cloud, Networks Tools: . Additionally: 20 days of paid vacation, 15 paid sick leaves, 11+ paid national holidays, Sport subscription, Private healthcare, Small teams.

Praca Kraków

Kraków - Oferty pracy w okolicznych lokalizacjach