Stelo Support Engineer

Remote • Posted 1 hour ago • Updated 1 hour ago
Full Time
No Travel Required
Remote
$90,000 - $130,000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Problem Solving
  • Customer Service
  • Communication
  • Database Administration
  • Big Data
  • Data Warehouse
  • Network
  • Technical Support
  • IBM DB2
  • Oracle
  • Microsoft SQL Server
  • PostgreSQL
  • MySQL
  • Databricks
  • Snow Flake Schema
  • Linux
  • Microsoft Windows Server

Summary

About Stelo

For over 30 years Stelo’s products have freed organizations from the complexities and difficulties of static data pipelines. Our software is an enterprise-class data replication tool that delivers data dynamically from anywhere to anywhere for BI analysis, reporting, and prediction, or for managing business operations, B2B interactions, and supply chains. Stelo combines powerful, purpose-built software with world-class service and support. From end-to-end expertise and problem ownership to deep knowledge of all operating systems, platforms, and database systems, Stelo gets customers up and running and keeps them there.

Stelo Support Engineer

We are looking for a talented and motivated support engineer to join our team and provide excellent technical support for our software, Stelo Data Replicator. As a support engineer, you will be responsible for helping our customers resolve issues and answer questions related to the installation, configuration, performance-tuning and use of our product. 

The ideal candidate will have a strong background working daily with relational databases such as Db2, Oracle, or SQL Server, along with solid networking skills in both on-premise and cloud environmentsIn addition, the candidate should have hands-on experience or strong working knowledge of modern big data and data warehouse technologies such as Microsoft Fabric (Lakehouse), Databricks, Kafka, Snowflake, BigQuery, or comparable platforms, including data ingestion, transformation, and analytics workflows. The role also requires comfort engaging directly with customers on technical calls, gathering requirements, and driving effective resolution.

Key Responsibilities 

  • Provide timely and effective technical support to customers via Zendesk, email, phone, and remote sessions 
  • Perform software installation and upgrade as well as replication configuration and tuning 
  • Troubleshoot data replication issues and provide solutions to customers  
  • Play the DBA role for internal dev environments that include Db2, Oracle, Databricks, Big Query, Snowflake, Confluent, etc. 
  • Develop and maintain technical expertise in our data replication product and related technologies 
  • Document customer issues and solutions in our internal knowledge base
  • Be available for occasional as-needed on-call support 

Required Qualifications 

  • Bachelor''s degree in computer science, information systems, or a related field 
  • Excellent problem-solving and troubleshooting skills with a strong customer service orientation and clear, effective communication abilities—both written and verbal 
  • 2+ years of experience in database administration including installation and configuration, performance tuning, backup and recovery and troubleshooting for relational databases such as Db2, Oracle, SQL Server, Postgres, MySQL. 
  • 2+ years of experience with big data and data warehouses technologies such as Microsoft Fabric''s Lakehouse, Databricks, Kafka, Snowflake, Big Query, etc. 
  • Strong understanding of networking concepts such as TCP/IP, DNS, and routing, with hands-on experience troubleshooting connectivity issues in complex hybrid (on-prem/cloud) environments. Proficient in diagnosing and resolving problems related to firewalls, VPNs, and SSL/TLS that impact database communication and data replication reliability
  • Proficiency using diagnostic tools like Wireshark, traceroute, netstat, and cloud-native monitoring (e.g., AWS CloudWatch, Azure Network Watcher) to analyze connectivity and protocol behavior (TCP/IP, SSL/TLS) impacting replication stability and throughput 
  • Skilled at identifying and resolving performance bottlenecks in data replication workflows caused by network issues such as latency, packet loss, or SSL/VPN misconfigurations—both in customer on-premises and cloud-hosted environments (AWS/Google Cloud Platform/Azure) 
  • Familiarity with Linux and Windows Server environments  

Preferred Qualifications 

  • DBAs are strongly encouraged to apply 
  • Experience with data replication technologies 
  • Proficiency in PowerShell and Unix shell scripting 
  • Experience with containerization technologies such as Docker 

Structure and Compensation  

  • The position is 100% remote, full-time, and exempt  
  • Stelo will provide all necessary computer equipment  
  • Employee is responsible for providing a suitable workspace  
  • Employee will be assigned a fixed weekly schedule 
  • Candidate should expect to work Pacific time hours most days  
  • Salary $90,000-$130,000 commensurate with experience  
  • Generous health insurance coverage, employee benefits and retirement matching

Why Work at Stelo?

Stelo’s small, dedicated team has enjoyed a 100% remote workplace since the company’s founding. We have working from home and the flexibility it offers down! Combined with Stelo’s excellent benefits and an unwavering appreciation for work/life balance, Stelo is an environment where team members have a chance to stretch and grow along with the company.

  • 100% remote workplace
  • Competitive salaries
  • Medical insurance for you and your family
  • Monthly HSA contributions
  • 3 weeks paid vacation
  • 11 Stelo holidays
  • Matching retirement contributions
  • Annual bonuses
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX1e0e40
  • Position Id: 8973669
  • Posted 1 hour ago
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