Kellton

Compensation

Full Description

Position: Lead Engineer – Data Platforms, Performance & Agentic AI Location: 100% Remote Duration: Long Term Contract • Lead end-to-end engineering solutions across data generation, ingestion, analytics, APIs, and user-facing applications. • Design and build scalable, cloud-native, high-performance data and application platforms. • Own architecture, technical design, sprint planning, code reviews, and engineering delivery. • Develop real-time and batch data pipelines, event-driven systems, telemetry, and observability solutions. • Drive performance engineering, including profiling, load testing, capacity planning, latency, throughput, and cost optimization. • Build resilient systems with strong SLAs for availability, scalability, security, and operational readiness. • Develop backend services using Node.js/TypeScript and Python, with modern React/TypeScript front ends. • Leverage AWS services including Lambda, S3, Step Functions, SNS/SQS, Redshift, Athena, and DynamoDB. • Implement Infrastructure as Code using CDK, Terraform, or CloudFormation and establish automation standards. • Design and deploy AI/ML and agentic AI solutions using LLMs, RAG, orchestration, tools, and multi-agent workflows. • Provide technical leadership, mentor engineers, and communicate architecture, tradeoffs, and strategy effectively. • Bring 7+ years of distributed systems experience, with a strong ownership mindset and focus on scalability, reliability, and emerging AI technologies.