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Network Service Reliability Analyst

1 - 3 years

3 - 5 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Overview:


We are looking for a forward-thinking

Service Reliability Analyst Network Infrastructure

to enhance our enterprise network systems stability, performance, and observability. This role combines traditional NOC responsibilities with modern AI Ops practices and operates within a 24/7 shift-based team. The ideal candidate will proactively detect and resolve network anomalies, utilise AI/ML insights to optimise operations, and support continuous service availability and performance improvement.

Responsibilities:


  • Monitor and manage enterprise network infrastructure using AI Ops platforms, including LAN, WAN, VPN, SD-WAN, data centres, and cloud networks.
  • Leverage AI Ops tools (e.g. Dynatrace, LogicMonitor, etc.) to detect anomalies, correlate events, and reduce alert fatigue.
  • Implement via automation maintenance and routine upgrade of enterprise grade network infrastructure
  • Support root cause analysis (RCA) using AI-generated insights and contribute to incident postmortems.
  • Maintain dashboards, reports, and documentation for operational visibility and performance KPIs (latency, availability, MTTR, etc.).
  • Continuously tune AI/ML models and integrate new data sources to improve detection accuracy and incident correlation.
  • Participate in change management reviews to assess risk to network service reliability.
  • Support automation initiatives and contribute to developing intelligent incident response playbooks.
  • Work on a shift pattern, on a 24/7/365 operating model, while being able to work independently and flexibly in response to emergencies or critical issues

Required Skills and Experience:


  • 1 to 3 years experience.
  • Bachelor s degree in Information Technology, Computer Science, Network Engineering, or equivalent experience.
  • Hands-on experience with network technologies and protocols (TCP/IP, BGP, OSPF, DNS, DHCP, SDWAN).
  • Practical knowledge of ServiceNow ITSM.
  • Experience with telemetry and observability tools such as LogicMonitor.
  • Basic analytical skills with a data-driven approach to identifying and resolving network issues.
  • Willingness to learn new skills and technologies as the SRC increases its scope of responsibility.
  • Effective communicator within a team with a proactive approach and personal accountability for outcomes.
  • Ability to analyze incident patterns and metrics to proactively recommend reliability improvements.
  • Certifications such as Cisco CCNA/CCNP, CompTIA Network+, or equivalent.
  • In addition, the Cisco DevNet Certification would be highly advantageous.
  • Experience with public cloud networking (AWS, Azure, GCP).
  • Familiarity with ITIL and SRE principles (SLI/SLOs, error budgets, incident command).
  • Experience integrating AI Ops tools with ITSM systems (e.g., ServiceNow, Jira Service Management).
  • Exposure to automation/orchestration tools (Ansible and Terraform).

Nice To Have Skills and Experience:


  • Exposure to high performance computing or cloud-native services.
  • Experience creating or updating Ansible playbooks for repetitive tasks or configuration.
  • Curiosity about automation and DevOps practices.
#LI-SA3

Accommodations at Arm


At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

Hybrid Working at Arm


Arm s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Equal Opportunities at Arm


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ARM Embedded Technologies
ARM Embedded Technologies

Technology / Embedded Systems

San Jose

50-200 Employees

37 Jobs

    Key People

  • Jane Doe

    CEO
  • John Smith

    CTO

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