Remote Data Platform Engineer — AI Platform & Reliability

Jobgether; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote-first within United States

Ownership and autonomy

AI-assisted engineering practices

Exposure to OLAP systems and cloud inf

Job summary

Jobgether is seeking a Data Platform Engineer - AI Platform in the United States to build and operate critical data infrastructure in a government cloud environment. You will own the serving layer, optimize data pipelines, and collaborate with cross-functional teams to ensure reliability and compliance.

The role emphasizes autonomy, continuous learning, and meaningful impact, with AI-assisted engineering practices and opportunities to advance data platform capabilities across distributed teams.

Qualifications

• U.S. citizenship is required due to government cloud data-access requirements.
• Hands-on experience operating distributed OLAP, analytical database, or serving-layer technologies such as StarRocks, Trino, ClickHouse, or similar platforms.
• Proven experience with query tuning, database performance optimization, scalability, and troubleshooting production workloads at scale.
• Experience owning data pipelines, production infrastructure, reliability initiatives, and incident response in operationally demanding environments.
• Experience using AI tools to accelerate debugging, code exploration, documentation, and technical research.
• Strong written and verbal communication skills to work effectively in distributed teams.

Responsibilities

• Optimize data-serving infrastructure: Own performance tuning for the StarRocks-backed serving layer using query profiling and AI-assisted analysis to identify bottlenecks.
• Build reliable data pipelines: Develop, maintain, and harden pipelines supporting government cloud investigations, ensuring data infrastructure is dependable and compliant.
• Strengthen operational resilience: Become an independent operator of the serving layer, improving incident response coverage and recovery times.
• Lead production troubleshooting: Investigate infrastructure and data issues using logs, monitoring, AI-assisted debugging, and root-cause analysis for durable fixes.
• Support compliance and security: Deliver infrastructure changes that satisfy government cloud and regulatory requirements, including backup, retention, audit, and data-management needs.
• Own infrastructure improvements end-to-end: From investigation and design through implementation, testing, deployment, and ongoing operation.
• Collaborate across teams: Work with Data Platform, Forward Deployed Engineering, Product, and other teams to align government cloud capabilities with platform needs.
• Contribute to engineering standards: Participate in sprint planning, incident retrospectives, and runbook improvements to strengthen platform reliability.
• Apply AI effectively: Use AI to accelerate workflows while maintaining engineering judgment and quality.

Skills

Distributed systems experience

Performance engineering

Data platform reliability

Production ownership

AI fluency

Strong problem solving

Autonomous mindset

Communication and collaboration

Adaptability

Engineering judgment

Tools

StarRocks

Trino

ClickHouse

Job description

Jobgether is seeking a Data Platform Engineer - AI Platform in the United States to build and operate critical data infrastructure in a government cloud environment. You will own the serving layer, optimize data pipelines, and collaborate with cross-functional teams to ensure reliability and compliance.

The role emphasizes autonomy, continuous learning, and meaningful impact, with AI-assisted engineering practices and opportunities to advance data platform capabilities across distributed teams.