Senior Data Platform & AI Systems Engineer

Jobgether; United States; Remote; USD 164,000 - 263,000; Full time

Benefits offered by this job

Equity awards

Remote work flexibility

Career development

Technical leadership opportunities

Collaborative environment

Inclusive workplace

Job summary

Jobgether is seeking a seasoned data infrastructure engineer to design and build scalable data pipelines, storage, and services that power analytics, ML, and product applications.

You will drive technical excellence through design reviews, mentoring, and best-practice adoption, while collaborating with product, analytics, data science, and platform teams to deliver robust, production-grade data solutions and APIs.

Responsibilities

• Design and develop scalable data infrastructure: Architect, implement, and maintain secure, observable, and reliable data pipelines and services that collect, process, and store large, diverse datasets for analytics, machine learning, and product applications.
• Optimize data processing and storage: Develop efficient data models, storage strategies, and processing frameworks to support high-volume, real-time, and batch workloads while balancing performance, reliability, and infrastructure costs.
• Lead technical excellence: Drive technical design reviews, code reviews, and engineering best practices, providing guidance and mentorship to engineers on data quality, system resilience, and operational excellence.
• Collaborate across teams: Partner with product management, analytics, data science, and platform engineering teams to translate business objectives and modeling requirements into robust, production-grade data solutions and APIs.
• Build AI and agentic platform capabilities: Develop and maintain shared context-layer services, agent tools, authentication mechanisms, and APIs that enable teams across the organization to build and deploy AI-powered applications at scale.
• Ensure reliability and data quality: Implement automated testing, monitoring, alerting, and incident response processes to improve service availability, data integrity, and overall platform performance.
• Drive technology innovation: Evaluate and introduce modern big data technologies, development tools, and architectural patterns to improve developer productivity, scalability, and end-to-end data lifecycle management.
• Establish engineering standards: Document data flows, system interfaces, and operational runbooks while contributing to shared frameworks, reusable components, and best practices for big data engineering.
• Support continuous improvement: Identify opportunities to strengthen platform architecture, simplify operations, and improve the efficiency and maintainability of distributed data systems.

Education

Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or an equivalent combination of education and professional experience

Job description

Jobgether is seeking a seasoned data infrastructure engineer to design and build scalable data pipelines, storage, and services that power analytics, ML, and product applications.

You will drive technical excellence through design reviews, mentoring, and best-practice adoption, while collaborating with product, analytics, data science, and platform teams to deliver robust, production-grade data solutions and APIs.