L2 Support Engineer

Job not on LinkedIn

🕒 May 9

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📞 Support Engineer

👻 Ghost score 45%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sutherland

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1986

🏥 Healthcare

🛡️ Insurance

✈️ Travel

💰 $300M Secondary Market on 2014-10

Healthcare • Insurance • Travel

Sutherland is a global company specializing in digital transformation and business process outsourcing services. They leverage advanced technologies such as Artificial Intelligence, automation, and cloud engineering to drive digital performance and optimize critical business operations. Sutherland offers a variety of services including digital CX, enterprise technology solutions, and intelligent automation across multiple industries such as banking, healthcare, and telecommunications. Their focus is on delivering measurable outcomes, enhancing customer experiences, and enabling business agility through innovative digital solutions.

📋 Description

• Deep-dive analysis of TechLive platform, devices, ScanLink workflows, WatchRTC telemetry, and NinjaOne diagnostics. • Troubleshoot workflow, imaging, and device-level issues beyond L1 scope. • Validate network/firewall prerequisites, connectivity, and data flows. • Perform diagnostics: log analysis, workflow validation, error tracebacks. • Escalate to L4 for software defects, CI/CD issues, cloud outages, and security incidents. • Author/update SOPs, KB articles, and runbooks. • Participate in RCA reviews and problem management.

🎯 Requirements

• 3–6 years in L2 support, NOC/SRE, platform support, or medical device support. • Strong problem-solving and deep troubleshooting ability. • Understanding of radiology workflows (PACS, DICOM preferred). • Hands-on expertise with RMM tools (NinjaOne) and observability tools (Datadog/Splunk). • Knowledge of cloud concepts (AWS/GCP basics). • Strong escalation judgment and communication skills.

🏖️ Benefits

• Employees can work remotely