Lead Node Developer
beBee SelectTecnología
EPAM SystemsPublicado porBautista Moretti
Hace 2 díasHasta 3/6/2026
Tiempo completo100% Remoto
Descripción del puesto
We are looking for a
Lead Node Developer to join our expanding Advanced Technology Engineering team.
In this role, you will help drive the development of GenAI-powered features within our products. If you thrive in a dynamic environment and are eager to work on innovative AI technologies, we welcome your application—regardless of your current tech stack. All applicants will complete a live coding interview in their language of choice, and GenAI training will be provided.
Responsibilities
- Architect and build full-stack solutions, AI agents, and platform modules to enable fast GenAI agent development, testing, and deployment
- Develop developer tooling, CI/CD workflows, and observability frameworks for safe, rapid iteration, including evaluation tools, canary releases, rollback strategies, and cost/quality monitoring
- Apply secure development lifecycle and privacy-by-design methodologies, including threat modeling and least privilege principles
- Work closely with product, UX, and subject matter experts to deliver user-focused solutions with measurable results
- Utilize modern LLM approaches such as retrieval-augmented generation, routing, tool integration, and evaluation to improve AI reliability, speed, trust, and cost efficiency
- Lead by example through hands-on technical leadership, architectural guidance, mentoring, and ownership of complex projects
Requirements
- At least 5 years of experience in professional software engineering roles
- Minimum of one year in a leadership position managing and guiding development teams
- Advanced full-stack development expertise with Node.js, ReactJS, and TypeScript
- Experience deploying and managing applications on cloud platforms like AWS, Azure, or GCP
- Skilled in CI/CD automation and Infrastructure as Code for streamlined deployments and environment management
- Background in Site Reliability Engineering (SRE) to maintain system stability and scalability
- Experience designing and executing quality engineering and testing strategies
- Strong understanding of secure SDLC and privacy-by-design to ensure data protection and compliance
- Proven track record of delivering secure, reliable, cloud-native solutions to production
- Excellent analytical skills, a sense of ownership, and effective cross-team communication
- English proficiency (written and spoken) at B2+ level or higher
Nice to have
- Knowledge of Generative AI concepts for building advanced AI-driven applications
- Experience with LangChain for integrating language models into solutions
- Familiarity with Microsoft Azure for deploying AI and cloud applications
- Understanding of Model Context Protocol for managing interactions with AI models
- Experience with Retrieval-Augmented Generation (RAG) to boost AI performance
We offer
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
Keywords
nodejsinsurance-consulting-and-technologyartificial-intelligencegenerative-artificial-intelligence-generative-aitraining-and-developmenttesting-and-analysiscustomer-intelligence-cicontinuous-integrationcd-certificate-of-depositci-cdobservabilityiterationassessment-assessment-toolsplanning-and-designvisual-art-designproduct-development-and-designleast-privilegeuser-experience-uxmobile-app-user-experiencelarge-language-model-llmsearch-and-retrievalretrieval-augmented-generation-ragrouting-and-switchingcost-efficiencymentoringcoaching-mentoringreact-jstypescriptmicrosoft-typescriptamazon-web-servicesmicrosoft-azuregoogle-cloud-platformgood-clinical-practice-gcpinfrastructure-as-code-iacenvironment-health-and-safety-hsseecology-environmentsite-reliability-engineering-srescalabilityquality-engineeringsoftware-development-lifecyclesystems-development-life-cycle-sdlcdata-securitydata-privacy-and-protectiondata-protectioncomplianceteam-communicationlangchaincloud-applicationsmodel-context-protocol-mcphealth-caretime-and-attendancepaid-time-offsick-leavereskillingtraining-certificationlinkedin-learning
¿Te interesa este puesto?