Senior Technical Support Engineer

Level

Senior

Department

Support

Type

Full Time

Project

NDA

Locations:

Colombia

Remote

Job Details

Posted on:

November 5, 2026

Job ID:

sP8V39

About the Company

Established in 2004, ALLSTARSIT was founded with a clear vision: to enhance the landscape of global IT employment by bridging the gap between companies and skilled professionals. The core belief was that assembling a team shouldn't be hindered by geographical constraints. Fast forward to the present day, ALLSTARSIT stands as an international outstaffing service provider committed to change the way businesses recruit, compensate, and oversee top talent worldwide.

With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on.

About the Project

The company develops innovative security technologies designed to help organizations protect critical IT infrastructure, strengthen system resilience, and address evolving cybersecurity challenges. Our client is a US-based technology company specializing in data analytics, data lakehouse architecture, and AI-ready data infrastructure. The company develops a platform that helps organizations access, manage, and analyze large volumes of data efficiently, without having to move or duplicate data across multiple systems.

Specialization

Headquarters

Years on the market

Team size and structure

Current technology stack

Required skills:

Must Have

3+ years of experience in a technical support or similar customer-facing engineering role.
Experience with database administration (RDBMS/MPP).
Experience working with distributed systems, cloud platforms (AWS, Azure, GCP), and containerized environments (Docker, Kubernetes).
Linux command-line tools, and scripting (Shell/Python).
Familiarity with authentication/security frameworks such as LDAP, Kerberos, SSL/TLS, SSO/OAuth.
Excellent communication, collaboration, and time management skills.
Strong problem-solving mindset and ability to work effectively under pressure.
BS or MS in Computer Science, Engineering, or a related technical field (or equivalent experience).

Nice to Have

Prior experience of NOC and Datacenter
Shell Scripting
Python scripting
Non-relational database fundamentals (e.g. MongoDB, etc)
REST API programming
Knowledge of ODBC and JDBC troubleshooting
Object store (S3), Azure Storage, GCS

Scope of work:

As a Technical Support Engineer, you are a customer-focused team player passionate about helping clients succeed. You will deliver high-quality technical support across multiple customer accounts, working closely with other support team members and cross-functional teams. Leveraging your technical expertise in a modern data analytics platform that enables organizations to query, analyze, and manage large volumes of data efficiently, along with strong communication and troubleshooting skills, you will assist customers in resolving complex issues, optimizing performance, and ensuring long-term success with their data solutions.

Deliver high-quality technical support for complex customer issues across the platform.
Provide detailed technical guidance to help customers make informed decisions for system optimization and long-term reliability.
Handle and lead critical escalations, ensuring timely and effective resolution of strategic and high-impact issues.
Reproduce, triage, troubleshoot, and resolve highly technical problems by analyzing logs, configurations, and deployments.
Create and deliver RCA (Root Cause Analysis) reports for priority incidents, along with actionable mitigation plans.
Document customer environments and key configurations to tailor proactive support aligned with each customer's unique requirements.
Share best practices, performance tuning tips, and architectural recommendations to improve reliability and uptime.
Contribute to internal knowledge base articles, scripts, and diagnostic tools to improve support efficiency.
Collaborate with Product and Engineering teams to advocate for customer needs, influence roadmap priorities, and resolve product-level bugs.