IT Cybersecurity Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Customer Support Engineer based in the United States.
Join a technically driven team helping enterprise customers unlock the full potential of their data infrastructure and analytics platforms. As a Customer Support Engineer, you will troubleshoot complex technical challenges and help customers maintain reliable, secure, and efficient data environments. You will support enterprise and cloud-based products, resolving issues related to configuration, integrations, security, and distributed systems. Working directly with customers through chat, email, and live calls, you will deliver timely solutions while maintaining high service standards. You will collaborate with engineering, pre-sales, and post-sales teams to investigate escalated issues and continuously improve the customer experience. This role offers an opportunity to deepen your expertise in open-source data technologies, cloud platforms, and large-scale distributed systems. Ideal for a curious, customer-focused technical professional, this position combines hands-on problem-solving, continuous learning, and cross-functional collaboration in a fast-paced environment.
\Customer Technical Support:
Respond to and resolve customer inquiries related to enterprise and cloud-based data platforms through chat, email, and live troubleshooting sessions, meeting established service-level agreements (SLAs).
Diagnose and investigate complex technical issues involving configuration, security, authentication, authorization, integrations, database connectivity, and distributed cluster environments.
Analyze problems across Linux environments, cloud infrastructure, containerized applications, and distributed data systems to identify root causes and recommend effective solutions.
Coordinate with engineering teams to investigate and resolve advanced technical issues, manage escalations, communicate progress, and ensure customers receive appropriate and timely support.
Customer Communication:
Serve as a trusted technical point of contact, explaining complex technical concepts clearly, setting appropriate expectations, and maintaining professional, responsive customer relationships.
Contribute to customer-facing documentation, troubleshooting guides, and self-service knowledge resources to help users resolve common issues independently.
Partner with pre-sales, post-sales, engineering, and other internal teams to align technical support efforts, share insights, and improve customer satisfaction.
Participate actively in technical training, team knowledge-sharing sessions, and professional development activities to strengthen expertise in distributed data technologies and evolving customer needs.
Service Quality Improvement:
Identify recurring technical issues, document findings, and recommend improvements to support processes, troubleshooting practices, and the overall customer experience.
Technical Support Experience:
Experience deploying, troubleshooting, and debugging complex software systems, preferably in enterprise customer support, technical support engineering, systems engineering, or a related technical role.
Distributed Data Technologies:
Familiarity with big data ecosystems and distributed data processing technologies, including Hadoop, data lakes, and Apache Spark.
Cloud Infrastructure:
Understanding of cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
Knowledge of Docker and Kubernetes, including their use in deploying, operating, and troubleshooting distributed applications.
Linux and Systems Administration:
Practical Linux skills and the ability to investigate system behavior, analyze logs, troubleshoot configuration issues, and diagnose performance or connectivity problems.
Database and Querying Skills:
Familiarity with database management system (DBMS) concepts and SQL, including the ability to investigate data access and query-related issues.
Programming and Scripting:
Exposure to Java, Python, Bash, and SQL. Experience navigating a complex Java codebase or using scripting to automate troubleshooting is an advantage.
Strong written and verbal communication skills, with the ability to explain technical issues clearly to customers with varying levels of technical expertise.
Analytical thinking, attention to detail, and a structured approach to diagnosing complex issues, identifying root causes, and developing practical solutions.
Customer Orientation:
A strong commitment to customer success, responsiveness, and delivering high-quality support while managing multiple inquiries and priorities.
Ability to support customers and collaborate with colleagues during Pacific Time Zone business hours.
Equity Compensation:
Employee stock option grants, providing an opportunity to participate in the organizations long-term growth.
Flexible Paid Time Off:
Access to flexible paid time off to support rest, personal commitments, and work-life balance.
Access to a competitive total rewards package designed to support employees professional and personal well-being.
Remote Work Environment:
Opportunity to work remotely within the United States, with a focus on Pacific Time Zone alignment.
Opportunities to learn from experienced technical professionals, expand expertise in distributed data systems, and take ownership of career growth.
Hands-on exposure to enterprise data platforms, cloud technologies, open standards, and modern analytics infrastructure.
Meaningful Customer Impact:
Opportunity to solve challenging technical problems and help enterprise customers improve the reliability, accessibility, and performance of their data environments.
\AI-powered matching process
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