What are the responsibilities and job description for the Senior Technical Lead – Full Stack, Cloud & Generative AI position at Incedo Inc.?
Incedo is a global AI and data transformation specialist empowering companies to realize sustainable business impact from their digital investments by delivering ROI from AI@Scale. As a long-term partner for strategy to execution, we operate at the intersection of business and technology.
Our integrated services and platforms are built on the foundation of AI & Data, digital engineering, and operations transformation, bringing deep domain expertise and full stack capabilities together. With over 4,000 people in the US, Canada, Latin America and India and a large, diverse portfolio of Fortune 500 enterprises and fast growing clients worldwide, we work across banking & payments, wealth management, telecom, hitech and life sciences.
Please visit the link to know about Incedo: https://www.incedoinc.com
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Position Title: Senior Technical Lead – Full Stack, Cloud & Generative
AILocations: Dallas, TX / Tampa, FL / Basking Ridge, NJ (Hybri
d)
Overview: We are seeking an experienced Technical Lead with strong expertise in Full Stack Development (React-focused), Cloud Technologies, and emerging Generative AI/LLM solutions. The ideal candidate will lead the design, development, and delivery of scalable enterprise applications while driving innovation through cloud-native architectures and AI-powered solutions. This role requires a hands-on technical leader who can collaborate with architects, product owners, and engineering teams to deliver high-quality software solutions and mentor developers across the technology sta
ck.Key Responsibilit
- iesLead the architecture, design, and development of enterprise-grade full-stack applicatio
- ns.Provide technical leadership and guidance to development teams across multiple projec
- ts.Design and implement scalable, secure, and high-performing solutions using modern frontend and backend technologi
- es.Drive adoption of cloud-native architectures, DevOps practices, and microservices-based solutio
- ns.Collaborate with business stakeholders to translate requirements into technical solutio
- ns.Lead code reviews, establish development standards, and ensure adherence to best practic
- es.Design and integrate Generative AI and Large Language Model (LLM) capabilities into enterprise applicatio
- ns.Evaluate and implement AI frameworks, vector databases, RAG architectures, and prompt engineering strategi
- es.Work closely with Data Science, AI, and Product teams to deliver intelligent applicatio
- ns.Identify technical risks and provide mitigation strategies throughout the project lifecyc
- le.Mentor and coach engineers, fostering technical excellence and innovati
on.Required Qualificati
- onsBachelor's or Master's degree in Computer Science, Engineering, or a related fie
- ld.10 years of software development experience with at least 3 years in a Technical Lead ro
- le.Strong expertise in React.js, JavaScript, TypeScript, HTML5, and CS
- S3.Experience developing scalable backend services using Node.js, Java, .NET, or Pyth
- on.Strong understanding of REST APIs, GraphQL, microservices, and event-driven architectur
- es.Experience with relational and NoSQL databases such as PostgreSQL, SQL Server, MongoDB, or Dynamo
- DB.Hands-on experience with cloud platforms such
- as:
- AWSAz
- ureGoogle Cloud Platform (G
- CP)Strong understanding
- of:Cloud-native application developm
- entContainerization (Dock
- er)Kubernetes/OpenSh
- iftCI/CD pipeli
- nesInfrastructure as Code (Terraform, CloudFormati
- on)Experience leading Agile/Scrum development tea
- ms.Excellent communication, stakeholder management, and leadership skil
ls.Preferred Qualificati
- onsExperience in telecommunications, financial services, healthcare, or large enterprise environmen
- ts.Knowledge of event streaming platforms such as Apache Kaf
- ka.Experience with API management platforms and enterprise integration patter
- ns.Cloud certifications (AWS, Azure, GCP) are highly preferr
- ed.Exposure to MLOps and AI deployment pipelin
- es.Experience working with secure and compliant enterprise environmen