{"schemaVersion":"jobsearcher.job.v1","id":"b9ac7f2b7474a2ea10aa4628","url":"https://jobsearcher.com/jobs/b9ac7f2b7474a2ea10aa4628","canonicalUrl":"https://jobsearcher.com/jobs/b9ac7f2b7474a2ea10aa4628","title":"Technical Lead – Full Stack Development","description":"Job Title: Technical Lead Full Stack Development\n\nLocation: USA (Remote)\n\nJob Type: Contract\n\nJob Description :\n\nWe are looking for a Lead Engineer to drive design and development of complex, highly available, distributed systems on AWS using Go, Python, and Node.js, running on Kubernetes-based platforms such as EKS and OpenShift. You will set technical direction for a team, drive an automation-first engineering culture, and act as a hands-on technical leader who partners with product and client stakeholders to turn requirements into resilient, well-tested systems.\n\nKey Responsibilities:\n\nLead design and development of complex, distributed, high-availability systems in Go, Python, and Node.js\n\nDefine technical approach and engineering best practices for the team\n\nOwn key AWS infrastructure decisions covering scalability, cost, security, and resilience across container orchestration platforms (EKS, OpenShift) and serverless/compute services\n\nDrive automation strategy across CI/CD, infrastructure provisioning, testing, and operations\n\nLead technical design reviews and set coding and architecture standards\n\nMentor engineers and guide their technical growth\n\nCollaborating with senior leads to drive delivery efficiency and technology excellence\n\nPartner with product and business stakeholders to translate requirements into technical solutions\n\nLead incident response, root-cause analysis, and long-term reliability improvements\n\nEvaluate and introduce new tools and technologies where they add clear value\n\nRequired Qualifications:\n\nBachelors or masters degree in computer science, Engineering, or a related field\n\n810 years of software engineering experience, with significant depth in distributed systems\n\nExpert-level proficiency in Go and Python, with strong working proficiency in Node.js for polyglot service environments\n\nDeep hands-on expertise with AWS architecture and services, including container orchestration on EKS\n\nHands-on experience running and operating workloads on Red Hat OpenShift as an enterprise Kubernetes platform\n\nProven experience designing and scaling automation frameworks and infrastructure-as-code (Terraform, CloudFormation, or Ansible)\n\nStrong grasp of distributed systems fundamentals: consistency models, fault tolerance, service mesh, messaging systems (Kafka, SQS/SNS), and data partitioning\n\nExperience leading technical projects or small teams\n\nStrong written and verbal communication skills for working with cross-functional and client stakeholders\n\nAI Knowledge & AI-Assisted Development (Required):\n\nStrong, demonstrated use of AI-assisted and agentic development workflows (Claude Code, Copilot, Cursor, or similar) across the full development lifecycle: design, coding, testing, review, and documentation\n\nAble to define and enforce team-level standards for responsible AI-assisted coding, including validation rigor, security scanning of AI-generated code, and avoiding data leakage in prompts\n\nPractical knowledge of AI/LLM integration patterns for backend systems: APIs, prompt design, retrieval-augmented generation (RAG), embeddings, and agentic workflows (e.g., MCP)\n\nAble to identify where AI-driven automation can meaningfully improve engineering velocity, code quality, or operational efficiency, and lead adoption within the team\n\nEnsures AI tool usage on the team aligns with data privacy and security requirements, particularly around PHI and other sensitive health plan data\n\nPreferred Qualifications:\n\nExtensive experience in the US health insurance or payer domain: claims, enrollment, benefits, provider networks, and HIPAA/compliance-aware system design\n\nExperience with healthcare interoperability standards (HL7, FHIR, X12 EDI)\n\nPrior experience in a client-facing consulting or professional services environment","company":"Falconsmartit","rawCompany":"falconsmartit","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-18T08:46:27.753Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-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":"Technical Lead – Full Stack Development","description":"Job Title: Technical Lead Full Stack Development\n\nLocation: USA (Remote)\n\nJob Type: Contract\n\nJob Description :\n\nWe are looking for a Lead Engineer to drive design and development of complex, highly available, distributed systems on AWS using Go, Python, and Node.js, running on Kubernetes-based platforms such as EKS and OpenShift. You will set technical direction for a team, drive an automation-first engineering culture, and act as a hands-on technical leader who partners with product and client stakeholders to turn requirements into resilient, well-tested systems.\n\nKey Responsibilities:\n\nLead design and development of complex, distributed, high-availability systems in Go, Python, and Node.js\n\nDefine technical approach and engineering best practices for the team\n\nOwn key AWS infrastructure decisions covering scalability, cost, security, and resilience across container orchestration platforms (EKS, OpenShift) and serverless/compute services\n\nDrive automation strategy across CI/CD, infrastructure provisioning, testing, and operations\n\nLead technical design reviews and set coding and architecture standards\n\nMentor engineers and guide their technical growth\n\nCollaborating with senior leads to drive delivery efficiency and technology excellence\n\nPartner with product and business stakeholders to translate requirements into technical solutions\n\nLead incident response, root-cause analysis, and long-term reliability improvements\n\nEvaluate and introduce new tools and technologies where they add clear value\n\nRequired Qualifications:\n\nBachelors or masters degree in computer science, Engineering, or a related field\n\n810 years of software engineering experience, with significant depth in distributed systems\n\nExpert-level proficiency in Go and Python, with strong working proficiency in Node.js for polyglot service environments\n\nDeep hands-on expertise with AWS architecture and services, including container orchestration on EKS\n\nHands-on experience running and operating workloads on Red Hat OpenShift as an enterprise Kubernetes platform\n\nProven experience designing and scaling automation frameworks and infrastructure-as-code (Terraform, CloudFormation, or Ansible)\n\nStrong grasp of distributed systems fundamentals: consistency models, fault tolerance, service mesh, messaging systems (Kafka, SQS/SNS), and data partitioning\n\nExperience leading technical projects or small teams\n\nStrong written and verbal communication skills for working with cross-functional and client stakeholders\n\nAI Knowledge & AI-Assisted Development (Required):\n\nStrong, demonstrated use of AI-assisted and agentic development workflows (Claude Code, Copilot, Cursor, or similar) across the full development lifecycle: design, coding, testing, review, and documentation\n\nAble to define and enforce team-level standards for responsible AI-assisted coding, including validation rigor, security scanning of AI-generated code, and avoiding data leakage in prompts\n\nPractical knowledge of AI/LLM integration patterns for backend systems: APIs, prompt design, retrieval-augmented generation (RAG), embeddings, and agentic workflows (e.g., MCP)\n\nAble to identify where AI-driven automation can meaningfully improve engineering velocity, code quality, or operational efficiency, and lead adoption within the team\n\nEnsures AI tool usage on the team aligns with data privacy and security requirements, particularly around PHI and other sensitive health plan data\n\nPreferred Qualifications:\n\nExtensive experience in the US health insurance or payer domain: claims, enrollment, benefits, provider networks, and HIPAA/compliance-aware system design\n\nExperience with healthcare interoperability standards (HL7, FHIR, X12 EDI)\n\nPrior experience in a client-facing consulting or professional services environment","datePosted":"2026-10-18T08:46:27.753Z","dateModified":"2026-10-18T08:46:27.753Z","hiringOrganization":{"@type":"Organization","name":"Falconsmartit","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b9ac7f2b7474a2ea10aa4628"},"url":"https://jobsearcher.com/jobs/b9ac7f2b7474a2ea10aa4628"}}