StarRocks Expert Database Engineer (DBE) - Remote

Deep.BI; Argentina; Remote; ARS 181,747,000 - 287,765,000; Full time

Benefits offered by this job

Conference travel support

OSS contributions

Remote-first team

Job summary

Deep.BI is seeking a StarRocks Expert Database Engineer to serve as the core L3/L4 technical authority for production OLAP clusters. You will dive into query optimization, ingestion pipelines, schema design, and HA/DR configurations to keep large-scale analytics fast, reliable, and scalable.

While focused on database internals, you should bring broader DevOps/SRE awareness and be comfortable collaborating with Solution Architects and developers. The role is remote with US/Latin America overlap.

Qualifications

• 2+ years hands-on experience operating and troubleshooting StarRocks clusters in production.
• Proven experience with query optimization, indexing, schema design, and ingestion pipelines.
• Solid knowledge of distributed systems concepts (consistency, replication, failover, scaling).
• Hands-on experience with high availability and disaster recovery setups.
• Comfort with Linux systems, networking basics and SQL.
• Ability to analyze logs, metrics, and configs under pressure (incident scenarios).
• Strong English language communication skills, able to explain technical decisions clearly.

Responsibilities

• Advanced troubleshooting (L3/L4): Diagnose and resolve complex issues in StarRocks and OLAP clusters.
• Performance optimization: Tune queries, schemas, ingestion flows and configs for high load.
• Architecture & design support: Help shape data models, indexing strategies, and HA/DR approaches.
• Incident resolution under 24/7 SLA: On-call rotations and rapid root cause analysis.
• CVE patching: Apply, validate, and test security patches in customer environments.
• Knowledge sharing: Document best practices and mentor junior engineers.
• Optional: DevOps support with Kubernetes, cloud, automation; collaborate on OSS bug fixes.

Skills

StarRocks

Query optimization

Distributed systems

Linux

SQL

On-call / 24/7 support

Kubernetes

Cloud infra (AWS/GCP/Azure)

OSS contributions

English communication

Tools

StarRocks

Linux

Kubernetes

Cloud platforms

SQL databases

Job description

Location: Remote (South & Central America, US Working Hours)

Reports to: CTO / VP Engineering

Role Overview

As a StarRocks Expert Database Engineer (DBE), you will be the core L3/L4 technical expert responsible for solving the most complex database problems our customers face in production with an emphasis on supporting StarRocks clusters. You’ll dive deep into query optimization, ingestion pipelines, schema design, and HA/DR configuration — ensuring that large-scale analytical systems remain reliable, scalable, and performant.

While your primary focus is database internals and advanced troubleshooting, we value engineers with broader skills — knowledge of DevOps, Infrastructure, security or SRE Practices is highly appreciated and will make you even more impactful.

Key Responsibilities

• Advanced troubleshooting (L3/L4): Diagnose and resolve complex issues in StarRocks and other OLAP database clusters (performance Bottlenecks, ingestion failures, query regressions)
• Performance optimization: Tune queries, schemas, ingestion flows, and configs to maximize efficiency under high load.
• Architecture & design support: Work with Solution Architects to shape data models, indexing strategies, and HA/DR approaches.
• Incident resolution under 24/7 SLA: Comfortable debugging under SLA pressure and participating in on-call rotations. Act as the escalation point for production incidents, ensuring rapid root cause analysis and fixes.
• CVE patching: Apply, validate, and test security patches for database systems in customer environments.
• Knowledge sharing: Document best practices, contribute to playbooks, and mentor junior engineers when needed.
• Optional / nice-to-have:
• Support deployments with DevOps engineers (Kubernetes, cloud, automation)
• Assist in secure configuration and compliance requirements
• Collaborate with developers (DD role) on upstream OSS bug fixes or feature contributions.

Requirements

• 2+ years hands-on experience operating and troubleshooting StarRocks clusters in larger scale production (not just querying or dashboard usage; no PoCs)
• Proven experience with query optimization, indexing, schema design, and ingestion pipelines.
• Solid knowledge of distributed systems concepts (consistency, replication, failover, scaling)
• Hands-on experience with high availability and disaster recovery setups
• Comfort with Linux systems, networking basics and SQL
• Ability to analyze logs, metrics, and configs under pressure (incident scenarios)
• Strong English language communication skills, able to explain technical decisions clearly to engineers and delivery managers both verbally and in writing
• Bonus: Experience with Apache Druid, ClickHouse, TiDB, Apache Cassandra, or similar databases
• Bonus: Experience with Kubernetes, cloud infra (AWS/GCP/Azure), or security best practices (RBAC, encryption, IAM).
• Bonus: Contributions to open-source database projects.

About Deep.BI

We provide enterprise support and consulting for open‑source analytics and data infrastructure platforms such as Apache Druid, Apache Flink, StarRocks and other emerging technologies. Our customers run mission‑critical, high‑volume systems and rely on us to keep them fast, stable, and available. We’re a small, world‑class expert, remote‑first team working across multiple time zones (US, Brazil, Europe, India, Philippines), supporting 100+ customer environments with SLAs ranging from advisory support to 24/7 incident coverage.

What we offer

• Work with cutting-edge open-source technologies at enterprise scale.
• Opportunity to collaborate with top engineers across databases, communities.
• Support for conference travel and OSS contributions
• Flexible contract structure (direct employment or via a global payroll partner or contractor/B2B), depending on your location and preference.
• Role requires regular overlap with European and North American business hours.