Title of Job:
We are looking for a Product Support Engineer to provide L1/L2 technical support across global technology products. The role involves troubleshooting enterprise applications, monitoring product performance, resolving technical issues, and collaborating with Product and Cloud Engineering teams. The ideal candidate should have strong problem-solving skills, excellent communication, and an AI-first mindset.
Location:
Your Future Employer
A leading global real estate and property management organization with a strong focus on technology, digital transformation, AI-driven solutions, and enterprise platforms.
Responsibilities:
- Act as the first point of contact for global users, handling L1/L2 technical support queries and resolving issues through ticketing tools.
- Troubleshoot enterprise applications, APIs, and data platforms using logs, dashboards, and application monitoring tools.
- Monitor application health using Datadog and collaborate with Product and Cloud Engineering teams to resolve incidents.
- Maintain knowledge base documentation, prepare support runbooks, and ensure smooth shift handovers across global teams.
- Leverage AI tools to improve ticket management, issue resolution, support automation, and overall user experience.
Requirements:
- Bachelors degree in computer science, IT, or a related field, with 2+ years of experience in Technical Support, Application Support, or Product Support.
- Hands-on experience with ticketing tools such as ServiceNow, Linear, or Azure DevOps.
- Strong troubleshooting skills across web applications, APIs, enterprise applications, and data platforms.
- Knowledge of application logs, monitoring tools like Datadog, and cloud environments (Azure preferred).
- Excellent English communication skills and willingness to work with at least 4 hours of overlap with US Eastern business hours.
What Is in It for You:
- Opportunity to work with a global technology team and international stakeholders.
- Exposure to enterprise applications, cloud technologies, AI-driven products, and data platforms.
- Opportunity to work with modern tools like ServiceNow, Datadog, Azure, and AI assistants.
- Hands-on experience collaborating with Product and Cloud Engineering teams.
- Opportunity to contribute to AI-led support transformation and process automation.
Reach Us
: If you think this role is aligned with your career, kindly share your updated CV at chimpy.salgotra1@crescendogroup.in for a confidential discussion on the opportunity. Disclaimer
: We specialize in Senior to C-Level niche recruitment. We are committed to providing an inclusive hiring experience and do not discriminate based on race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Note
: Due to the high volume of applications received, only shortlisted candidates will be contacted. If you do not hear from us within one week, please consider that your profile has not been shortlisted for this opportunity. Profile Keywords
: Technical Support, Application Support, Product Support (L1/L2), ServiceNow, Azure DevOps, Datadog, API Troubleshooting, Log Analysis, Incident Management, Enterprise Applications.
Azure Cloud, Monitoring & Observability, Power BI, AI-driven Support, Ticket Management, Root Cause Analysis, Troubleshooting, Global Support, US Shift Overlap.
Sr. Product Support Engineer -2+ years-Bangalore
Title of Job:
Summary:
Location:
Your Future Employer –
A leading global real estate and property management organization with a strong focus on technology, digital transformation, AI-driven solutions, and enterprise platforms.
Responsibilities:
- Act as the first point of contact for global users, handling L1/L2 technical support queries and resolving issues through ticketing tools.
- Troubleshoot enterprise applications, APIs, and data platforms using logs, dashboards, and application monitoring tools.
- Monitor application health using Datadog and collaborate with Product and Cloud Engineering teams to resolve incidents.
- Maintain knowledge base documentation, prepare support runbooks, and ensure smooth shift handovers across global teams.
- Leverage AI tools to improve ticket management, issue resolution, support automation, and overall user experience.
Requirements:
- Bachelor’s degree in computer science, IT, or a related field, with 2+ years of experience in Technical Support, Application Support, or Product Support.
- Hands-on experience with ticketing tools such as ServiceNow, Linear, or Azure DevOps.
- Strong troubleshooting skills across web applications, APIs, enterprise applications, and data platforms.
- Knowledge of application logs, monitoring tools like Datadog, and cloud environments (Azure preferred).
- Excellent English communication skills and willingness to work with at least 4 hours of overlap with US Eastern business hours.
What Is in It for You:
- Opportunity to work with a global technology team and international stakeholders.
- Exposure to enterprise applications, cloud technologies, AI-driven products, and data platforms.
- Opportunity to work with modern tools like ServiceNow, Datadog, Azure, and AI assistants.
- Hands-on experience collaborating with Product and Cloud Engineering teams.
- Opportunity to contribute to AI-led support transformation and process automation.
Reach Us
: If you think this role is aligned with your career, kindly share your updated CV at chimpy.salgotra1@crescendogroup.in for a confidential discussion on the opportunity. Disclaimer
: We specialize in Senior to C-Level niche recruitment. We are committed to providing an inclusive hiring experience and do not discriminate based on race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Note
: Due to the high volume of applications received, only shortlisted candidates will be contacted. If you do not hear from us within one week, please consider that your profile has not been shortlisted for this opportunity. Profile Keywords
: Technical Support, Application Support, Product Support (L1/L2), ServiceNow, Azure DevOps, Datadog, API Troubleshooting, Log Analysis, Incident Management, Enterprise Applications.
Azure Cloud, Monitoring & Observability, Power BI, AI-driven Support, Ticket Management, Root Cause Analysis, Troubleshooting, Global Support, US Shift Overlap.
