This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Network Infrastructure Engineer based in India.
This role sits at the core of large-scale cloud and enterprise network operations, ensuring the stability, performance, and reliability of critical infrastructure that supports advanced technologies across software, AI, and high-performance computing environments. You will be responsible for monitoring, troubleshooting, and resolving complex network incidents in real time, often within strict SLAs, while ensuring minimal disruption to services. The position operates in a global, 24/7 support model, requiring close collaboration with internal engineering teams, external vendors, and cross-functional stakeholders. You will also contribute to network upgrades, capacity planning, and infrastructure improvements across highly distributed environments. The role demands strong technical depth, rapid problem-solving ability, and comfort working in large-scale, multi-vendor cloud and data center ecosystems. This is a high-impact engineering position for someone passionate about operational excellence and cutting-edge network technologies.
Accountabilities:
- Monitor, triage, and resolve critical network alerts and production incidents within defined SLAs across large-scale cloud and on-premise environments.
- Provide 24/7 operational support through global shift rotations, ensuring continuous network availability and performance.
- Manage and operate complex IP network infrastructures, including troubleshooting and incident resolution.
- Support and optimize peering and data center interconnect technologies such as PNI, transit, exchange, DWDM, and wave circuits.
- Collaborate with internal engineering teams and external vendors to resolve hardware and software-related network issues.
- Participate in network change management, device upgrades, capacity expansions, and infrastructure enhancement projects.
- Drive operational improvements by refining procedures, workflows, and best practices in network operations.
- Maintain accurate documentation of incidents, resolutions, and operational processes to improve system knowledge and efficiency.
- Monitor network health across hybrid cloud and data center environments and proactively identify risks.
- Contribute to tooling, automation, and monitoring enhancements to improve network reliability and operational efficiency.
Requirements:
- 4+ years of experience in network operations or large-scale infrastructure environments.
- Strong expertise in TCP/IP fundamentals and core networking protocols including BGP, OSPF, MPLS, IS-IS, VXLAN, EVPN, GRE, IPsec, DNS, QoS, and MACsec.
- Hands-on experience supporting enterprise or hyperscale network infrastructures in cloud environments such as AWS, Azure, GCP, or OCI.
- Strong troubleshooting skills with a proven ability to resolve complex network incidents under pressure and within SLAs.
- Familiarity with network equipment and technologies such as Arista, Juniper, and Fortinet.
- Experience working in multi-vendor, large-scale distributed network environments.
- Strong communication skills, both written and verbal, with the ability to interact across technical and non-technical stakeholders.
- Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent experience).
- Experience with network monitoring, alerting, and incident management tools is preferred.
- Ability to work in rotational shifts and global 24/7 operational support models.
Benefits:
- Competitive compensation aligned with senior infrastructure engineering roles.
- Exposure to large-scale, cutting-edge cloud and AI-driven network environments.
- Global 24/7 operational experience with international collaboration opportunities.
- Career growth in high-performance networking, cloud infrastructure, and automation engineering.
- Opportunity to work with advanced networking technologies and multi-vendor architectures.
- Health and wellness benefits as per company policy.
- Continuous learning environment with exposure to modern tooling, automation, and observability platforms.