{"schemaVersion":"jobsearcher.job.v1","id":"6428e4bc5bacdaeb65acc8dc","url":"https://jobsearcher.com/jobs/6428e4bc5bacdaeb65acc8dc","canonicalUrl":"https://jobsearcher.com/jobs/6428e4bc5bacdaeb65acc8dc","title":"Lead Engineer – Full Stack Platform Engineer","description":"Lead Engineer Full Stack Platform EngineerLocation: Remote EST Time ZoneContract: Long-Term ContractPosition OverviewWe are seeking a Lead Full Stack Platform Engineer to own the technical architecture and end-to-end delivery of high-performance, cloud-native platforms.The ideal candidate will bring strong experience across Full Stack Engineering, AWS, Data Platforms, Performance Engineering, and Agentic AI. This is a hands-on technical leadership role requiring excellent communication and the ability to drive complex engineering initiatives from architecture through implementation.Key ResponsibilitiesOwn end-to-end engineering solutions spanning data generation, ingestion, APIs, analytics, and user-facing applications.Lead the architecture and development of scalable, high-performance AWS cloud platforms.Design data generation and event-driven systems supporting testing, analytics, and AI development.Build and optimize systems for performance, scalability, reliability, latency, and cost efficiency.Develop backend services and APIs using Node.js/TypeScript and Python.Build modern front-end applications using React and TypeScript.Design and manage real-time and batch data pipelines and data platforms.Implement observability, telemetry, monitoring, and performance engineering solutions.Lead technical design discussions, code reviews, sprint planning, and architectural decisions.Mentor engineers across backend, data, performance, and AI domains.Develop and integrate Agentic AI solutions into engineering and operational workflows.Work with LLMs and AI orchestration frameworks to automate data, testing, and engineering processes.Evaluate AI-native architectures including tool-using agents and multi-agent systems.Apply AI-assisted development tools to improve developer productivity.Ensure AI solutions are secure, scalable, reliable, and production-ready.Required Skills 7+ years of experience building and operating scalable, distributed, cloud-native systems.Strong end-to-end system architecture and design experience.Strong performance engineering experience, including profiling, load testing, capacity planning, and optimization.Hands-on experience with Node.js / TypeScript and Python.Strong experience building APIs and event-driven applications.Experience designing and operating real-time and batch data pipelines.Strong experience with React / TypeScript.Deep AWS experience with services such as:AWS LambdaS3Step FunctionsSNS/SQSRedshiftAthenaDynamoDBExperience with Infrastructure as Code using AWS CDK, Terraform, or CloudFormation.Strong understanding of event-driven architecture, streaming, and telemetry.Experience with observability/monitoring tools such as Grafana or similar.Experience integrating and operationalizing AI/ML systems in production.Agentic AI RequirementsCandidates should have hands-on exposure to modern AI engineering, including:LLMs and AI orchestration frameworksAgentic workflows and autonomous systemsAI-assisted coding tools such as GitHub Copilot, ChatGPT, or similarRAG architecturesPrompt engineeringTool-augmented AI systemsMulti-agent architectures and intelligent automationMCP servers and agent skills are a plus.Preferred / Nice-to-Have SkillsExperience in high-scale, mission-critical environments.Cell-based or multi-tenant architecture experience.Experience with data isolation, security, and performance segmentation.Synthetic data generation or simulation experience.Multi-agent AI systems.Advanced automation pipelines.MCP servers and agent-based systems.Core Technology StackAWS: Lambda, S3, DynamoDB, SNS/SQS, EventBridge, Kinesis, Step Functions, Redshift, AthenaBackend: Node.js, TypeScript, PythonFrontend: React, TypeScriptSearch: OpenSearch / ElasticsearchInfrastructure: AWS CDK, Terraform, CloudFormationAI: LLMs, Agentic AI, RAG, AI Agents, AI-assisted developmentObservability: Grafana / Monitoring / TelemetryArchitecture: Microservices, Event-Driven Architecture, Distributed Systems","company":"GlobalPoint","rawCompany":"globalpoint","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-24T07:22:17.652Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"11-9041.00","title":"Architectural and Engineering Managers","slug":"architectural-and-engineering-managers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Engineer – Full Stack Platform Engineer","description":"Lead Engineer Full Stack Platform EngineerLocation: Remote EST Time ZoneContract: Long-Term ContractPosition OverviewWe are seeking a Lead Full Stack Platform Engineer to own the technical architecture and end-to-end delivery of high-performance, cloud-native platforms.The ideal candidate will bring strong experience across Full Stack Engineering, AWS, Data Platforms, Performance Engineering, and Agentic AI. This is a hands-on technical leadership role requiring excellent communication and the ability to drive complex engineering initiatives from architecture through implementation.Key ResponsibilitiesOwn end-to-end engineering solutions spanning data generation, ingestion, APIs, analytics, and user-facing applications.Lead the architecture and development of scalable, high-performance AWS cloud platforms.Design data generation and event-driven systems supporting testing, analytics, and AI development.Build and optimize systems for performance, scalability, reliability, latency, and cost efficiency.Develop backend services and APIs using Node.js/TypeScript and Python.Build modern front-end applications using React and TypeScript.Design and manage real-time and batch data pipelines and data platforms.Implement observability, telemetry, monitoring, and performance engineering solutions.Lead technical design discussions, code reviews, sprint planning, and architectural decisions.Mentor engineers across backend, data, performance, and AI domains.Develop and integrate Agentic AI solutions into engineering and operational workflows.Work with LLMs and AI orchestration frameworks to automate data, testing, and engineering processes.Evaluate AI-native architectures including tool-using agents and multi-agent systems.Apply AI-assisted development tools to improve developer productivity.Ensure AI solutions are secure, scalable, reliable, and production-ready.Required Skills 7+ years of experience building and operating scalable, distributed, cloud-native systems.Strong end-to-end system architecture and design experience.Strong performance engineering experience, including profiling, load testing, capacity planning, and optimization.Hands-on experience with Node.js / TypeScript and Python.Strong experience building APIs and event-driven applications.Experience designing and operating real-time and batch data pipelines.Strong experience with React / TypeScript.Deep AWS experience with services such as:AWS LambdaS3Step FunctionsSNS/SQSRedshiftAthenaDynamoDBExperience with Infrastructure as Code using AWS CDK, Terraform, or CloudFormation.Strong understanding of event-driven architecture, streaming, and telemetry.Experience with observability/monitoring tools such as Grafana or similar.Experience integrating and operationalizing AI/ML systems in production.Agentic AI RequirementsCandidates should have hands-on exposure to modern AI engineering, including:LLMs and AI orchestration frameworksAgentic workflows and autonomous systemsAI-assisted coding tools such as GitHub Copilot, ChatGPT, or similarRAG architecturesPrompt engineeringTool-augmented AI systemsMulti-agent architectures and intelligent automationMCP servers and agent skills are a plus.Preferred / Nice-to-Have SkillsExperience in high-scale, mission-critical environments.Cell-based or multi-tenant architecture experience.Experience with data isolation, security, and performance segmentation.Synthetic data generation or simulation experience.Multi-agent AI systems.Advanced automation pipelines.MCP servers and agent-based systems.Core Technology StackAWS: Lambda, S3, DynamoDB, SNS/SQS, EventBridge, Kinesis, Step Functions, Redshift, AthenaBackend: Node.js, TypeScript, PythonFrontend: React, TypeScriptSearch: OpenSearch / ElasticsearchInfrastructure: AWS CDK, Terraform, CloudFormationAI: LLMs, Agentic AI, RAG, AI Agents, AI-assisted developmentObservability: Grafana / Monitoring / TelemetryArchitecture: Microservices, Event-Driven Architecture, Distributed Systems","datePosted":"2026-09-24T07:22:17.652Z","dateModified":"2026-09-24T07:22:17.652Z","hiringOrganization":{"@type":"Organization","name":"GlobalPoint","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6428e4bc5bacdaeb65acc8dc"},"url":"https://jobsearcher.com/jobs/6428e4bc5bacdaeb65acc8dc"}}