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Make your next big career move by applying as KMC Solutions next APPLICATION SUPPORT ENGINEER!
The Application Support Engineer is a highly skilled, senior-level technical expert within the Customer Success team at SOCi. This role is responsible for isolating, troubleshooting, and resolving complex and escalated customer issues - ranging from intricate product bugs to multi-system integration failures - while acting as a critical liaison between customer-facing teams and Engineering. Operating in a fast-paced environment, the Senior Product Support Engineer dives into backend systems, APIs, and databases (including SQL) to conduct root cause analyses, drive long-term solutions, and implement scalable solutions. This role works cross-functionally with Product and Engineering teams to influence improvements in both the product and internal processes, while proactively identifying patterns that reduce future escalations.
Additionally, the Senior Product Support Engineer supports the broader Support team by sharing knowledge, providing mentoring and guidance, and raising the overall bar for technical excellence. Exceptional problem solving skills, strong communication, and the ability to manage high-pressure customer interactions with professionalism are essential to success in this role.
On top of your salary, here are the exciting benefits you can look forward to:
The main responsibilities of a APPLICATION SUPPORT ENGINEER include:
To apply, you must be an expert on the following requirements:
Job ID: 152457265
Skills:
Sentry, Jira, Postman, Restful Apis, Datadog, Sql, Salesforce, zendesk
Skills:
automation tools and workflows within Salesforce Marketing Cloud, troubleshooting and resolving technical issues, email marketing strategies, Salesforce Marketing Cloud Email Studio, analytics and reporting tools, data segmentation and targeting
Skills:
Databases, Service Request Management, System Monitoring Tools, Application Support, technical support, Operational Efficiency, SQL querying, Ticket Management Systems
Skills:
.NET, MongoDB, SQL Server, Iis, Rest Apis
Skills:
Databricks, Python, Pyspark, Sql, Azure Data Factory, Databricks Unified Data Analytics Platform