Lead Data Platforms Engineer - Performance & Agentic AI

Accylerate, LLC.

United States

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Accylerate, LLC. is seeking a Lead Engineer for Data Platforms, Performance & Agentic AI. You will own the technical architecture across full stack, with strong data and performance experience.

The role demands hands-on work with Node.js, Python, React, and AWS, plus real-time data pipelines and event-driven systems. You will lead design, implementation, and optimization of cloud-native platforms, scale data-generation systems, and integrate AI-driven components while ensuring observability,

Qualifications

  • 7+ years of experience building and operating scalable, distributed, cloud-native systems.
  • Strong experience with end-to-end system design from data generation to front-end delivery.
  • Proven expertise in performance engineering, profiling, load testing, and optimization.
  • Hands-on backend experience with Node.js/TypeScript and Python, building APIs and event-driven systems.
  • Experience designing and operating data pipelines and data platforms (real-time and batch).
  • Experience with modern front-end apps (React/TypeScript) for data-intensive interfaces.
  • Deep knowledge of AWS services (Lambda, S3, Redshift, DynamoDB, etc.).
  • Experience with Infrastructure as Code (CDK, Terraform, CloudFormation).
  • Familiarity with AI/ML systems in production, including model integration.

Responsibilities

  • Own delivery of complex, end-to-end engineering solutions from data generation through analytics, APIs, and user-facing experiences.
  • Develop deep understanding of business workflows, especially high-scale exam and operational systems.
  • Partner with product, architecture, and engineering teams to shape requirements and estimates.
  • Drive sprint planning, technical design discussions, and code/design reviews with focus on speed and quality.
  • Lead design and implementation of scalable, high-performance cloud-native data platforms.
  • Architect data generation systems to support testing, analytics, and AI model development.
  • Engineer high-performance systems focusing on latency, throughput, resiliency, and cost.

Skills

Node.js
Python
React
TypeScript
AWS
Data pipelines
Performance engineering
Event-driven architectures
LLMs
AI orchestration

Tools

AWS CDK
Terraform
CloudFormation
Grafana

Job description

Accylerate, LLC. is seeking a Lead Engineer for Data Platforms, Performance & Agentic AI. You will own the technical architecture across full stack, with strong data and performance experience.

The role demands hands-on work with Node.js, Python, React, and AWS, plus real-time data pipelines and event-driven systems. You will lead design, implementation, and optimization of cloud-native platforms, scale data-generation systems, and integrate AI-driven components while ensuring observability,

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