Emplay
L2 Support Engineer
- Compensation
- ₹400K–₹600K / yr
- Location
- Bangalore Urban
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 1+ years
- Category
- It support
- Posted
Skills
Must have
- • 1–3 years of experience in technical/customer support, preferably in SaaS, ITSM, or AI-based products.
- • Strong proficiency with AWS Cloud services.
- • Basic to intermediate Python coding skills.
- • General awareness of AI/ML concepts and conversational AI/chatbot platforms.
- • Familiarity with learning platforms / EdTech environments is a plus.
- • Strong knowledge of ticketing systems (Freshservice, ServiceNow, Jira, or similar).
- • Hands-on troubleshooting skills in APIs, data workflows, and basic SQL queries.
- • Excellent problem-solving and analytical skills, with the ability to simplify complex issues.
- • Strong communication skills, able to interact effectively with both technical and non-technical stakeholders.
Nice to have
- • Exposure to conversational AI platforms, chatbots, or agent-based systems.
- • Experience with monitoring tools, logs analysis, and debugging techniques.
- • Prior experience supporting enterprise clients in a B2B SaaS environment, ideally in EdTech or learning platforms.
- Application Process
- You can apply on this job portal, or submit your resume and relevant details to: placement@emplay.net
- Email subject line: Application – L2 Support Engineer – Cisco AI Tutor Project – Emplay Inc
- Please include the following in your email:
- • Current CTC
- • Expected CTC
- • Notice period
- • Years of relevant experience
- • Reason for job change
- • LinkedIn profile link
Full description
Compensation: ₹4L – ₹6L • No equity
Job Description: L2 Support Engineer
Position: L2 Support Engineer
Experience: 1–3 years
Location: Remote / Work from Home
Salary (CTC): 4 LPA -6 LPA
No. of Positions: 2
Reports To: Support Manager
Role Overview
The L2 Support Engineer will support the Cisco AI Tutor project, handling escalations from L1 support, troubleshooting complex technical issues, and working closely with Engineering and Product teams to resolve problems. This role requires 24x7 coverage as per the project SOW. You will serve as the bridge between Cisco and internal teams, ensuring timely resolutions, accurate communication, and proactive knowledge sharing.
Key Responsibilities
- Act as the point of escalation for L1 support engineers, handling complex issues that require deeper troubleshooting.
- Troubleshoot, diagnose, and resolve issues related to: ticketing and support platform configurations, API integrations, workflows, and AI agent configurations.
- Support and monitor the Cisco AI Tutor platform on AWS, including using CloudWatch dashboards (concurrent user counts, error rates, and other key metrics) for proactive issue detection.
- Use Python for basic to intermediate troubleshooting, scripting, and data analysis tasks as needed.
- Collaborate with Product and Engineering teams to escalate bugs, document root causes, and ensure fixes are implemented.
- Create, review, and maintain knowledge base articles, FAQs, and SOPs to reduce recurring issues.
- Conduct ticket analysis to identify trends, recurring issues, and areas for automation/AI-driven improvements.
- Work directly with the Cisco team on high-priority issues, ensuring a positive customer experience.
- Provide mentorship and guidance to L1 support team members.
Qualifications
- 1–3 years of experience in technical/customer support, preferably in SaaS, ITSM, or AI-based products.
- Strong proficiency with AWS Cloud services.
- Basic to intermediate Python coding skills.
- General awareness of AI/ML concepts and conversational AI/chatbot platforms.
- Familiarity with learning platforms / EdTech environments is a plus.
- Strong knowledge of ticketing systems (Freshservice, ServiceNow, Jira, or similar).