Quick overview
Job description
Key Responsibilities
Python Software Development
- Design, develop, test, and maintain production-quality software primarily in Python.
- Build scalable backend services, APIs, libraries, and automation frameworks for infrastructure and network management.
- Apply modern software engineering practices including code reviews, automated testing, CI/CD, version control, API design, and software lifecycle management.
- Design software that can reliably operate across multiple datacenters and large infrastructure environments.
- Troubleshoot complex software and distributed-system problems and implement sustainable fixes.
Network Management Software – DNS, DHCP & IPAM
- Design and develop software solutions for enterprise DNS, DHCP, and IP Address Management (DDI/IPAM).
- Build software for automated IP allocation, reservation, discovery, reclamation,
and lifecycle management.
- Develop APIs and workflows for managing DNS records, DHCP configuration, subnets, address pools, leases, and related network resources.
- Build integrations between DDI/IPAM platforms and compute, networking, provisioning, cloud, and datacenter systems.
- Develop software to automate network-resource onboarding and configuration across multiple datacenters and environments.
- Help establish authoritative infrastructure data and source-of-truth models for network resources.
APIs, Automation & Platform Integration
- Design and implement REST APIs and other programmatic interfaces for network and infrastructure services.
- Build integrations with infrastructure platforms, CMDBs, provisioning systems, and automation frameworks.
- Develop event-driven and workflow-based automation for infrastructure lifecycle management.
- Build solutions that dynamically allocate and recycle IP addresses and other network resources for compute infrastructure.
- Integrate network-management services with bare-metal provisioning, PXE/network boot, virtualization, and cloud workflows.
- Enable infrastructure capabilities to be consumed through APIs and self-service platforms rather than manual operational processes.
Reliability & Observability
- Build monitoring, metrics, logging, and health-check capabilities into network-management services.
- Implement dashboards and alerting using technologies such as Prometheus, Grafana, ELK, or similar platforms.
- Define and track service metrics such as availability, latency, capacity, error rates, and resource utilization.
- Participate in incident response and root-cause analysis for software and network-management services.
- Improve reliability through automation, testing, observability, and operational tooling.
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