Engineer, Professional Services
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Before you apply
LocationChennai, Tamil Nadu, India
Work modehybrid
SeniorityMid
Experience5+ yrs
DepartmentProfessional Services Engineering-Financial Services
Company size501–1,000 people
PostedSep 28, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Strong technical skills with public cloud technologies, Azure specifically
Familiarity with industry standard LLMs such as Claude, CoPilot and ChatGPT as both an internal research tool and as deployed with clients
Minimum 5+ years experience in a system engineering & support role
Certifications preferred (AI, Azure Expert, MCSE, VCP, CCP)
MSP experience preferred
Ability to commute in a hybrid fashion both with client and internal team
Willing to work in 24/7 rotational environment
Skills
Windows Servers
Microsoft products
Azure
Claude
CoPilot
ChatGPT
AI
DLP
firewalls
managed switches
TCP/IP
J
Job Description
Job Title: Engineer, Professional Services
Overview:
We are looking for a candidate that will develop and deploy client centered solutions and enhance our service catalogue for clients based in the financial services & healthcare industries. With a keen interest in industry standards, best practices and emerging trends, the candidate will provide and deliver solutions that are tailored to our clients’ needs while also being robust, repeatable, and embraced throughout the organization.
Roles & responsibility:
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Handling complex technical project tasks, project issues and initial troubleshooting for clients.
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Configuration and troubleshooting of servers and networks.
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Configuration and migration of Cloud Services.
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Management of small and medium sized projects.
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Provide technical advice on planning and scoping calls.
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Help achieve department goals by hitting personal KPI targets.
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Documentation of internal processes and guides
Skills
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Technical implementation and troubleshooting
•
History troubleshooting and/or installing IT infrastructure at a senior level
•
Configuration of Windows Servers
•
Configuration & deployment of Microsoft products
•
Configuration of AI and DLP preferred
•
Networking – configure firewalls, managed switches, TCP/IP and protocols
Qualifications
•
Strong technical skills with public cloud technologies, Azure specifically
•
Familiarity with industry standard LLMs such as Claude, CoPilot and ChatGPT as both an internal research tool and as deployed with clients.
•
Minimum 5+ years’ experience in a system engineering& support role.
•
Certifications preferred (AI, Azure Expert, MCSE, VCP, CCP)
•
MSP experience preferred
•
Ability to commute in a hybrid fashion both with client and internal team
•
Willing to work in 24/7 rotational environment.