StarRocks Database Engineer (DBE) - Remote

Database Engineer (DBE) – Enterprise Open-Source Support

Location

: Remote (preferred South / Central America or US TIme Zones) Department

: Engineering - Open Source Database support Reports to:

CTO / VP Engineering

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.

Role Overview As a 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

. A

bility 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.

What we offer Work with cutting-edge open-source technologies at

enterprise scale

. Opportunity to collaborate with top engineers across databases, communities. Competitive salary 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.

Location & working style Remote‑first - we collaborate online across multiple time zones. Role requires regular overlap with European and North American business hours.