Lead Software Engineer – Network Infrastructure

• Build and maintain services and tooling automating the network lifecycle, including day-0 provisioning, day-N changes, drift detection, and operational verification
• Make network changes safe and transparent through CI/CD workflows, diff/review tooling, staged rollouts/rollbacks, audit trails, and guardrails
• Develop observability systems across many sites, including telemetry pipelines, signal quality, and incident-investigation tooling
• Integrate source-of-truth data, expose APIs, and build reliable automation connecting the network and cloud platform
• Own architecture and technical decisions for the APAC area and align them with European teams
• Collaborate with network engineers and SREs to turn operational problems into product-quality tooling
• Hire and onboard the first regional engineers, establish code-quality and engineering standards, and mentor the team
• Manage large-scale, multi-stakeholder projects across regions
• Lead regional hiring, including defining profiles, conducting interviews, and making hiring decisions

• 7+ years of professional software engineering experience, including experience as a tech lead or team lead with broad ownership
• Strong coding skills and ownership mindset; ability to ship and operate reliable services
• Proficiency in Go or readiness to switch
• Python is welcome; other languages can be useful for OSS debugging/fixes
• Ability to work autonomously in an early-stage environment, make decisions with incomplete information, and build processes from scratch
• Willingness to stay hands-on while leading and growing a team
• Interest in infrastructure and/or networking
• Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility
• Networking background, CCNP/education, data-center networking exposure, automation/infra tooling, low-level networking/datapath, high-load services, observability platforms, open-source contributions, and building engineering teams are added bonuses

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams