Technical Specialist

Job description

We are looking for a highly skilled Technical Lead to build and scale cloud-native backend systems on Azure. This role combines hands-on engineering, technical leadership, and innovation in Generative AI to deliver high-impact solutions for global clients. The ideal candidate is a proactive leader who can balance deep technical expertise with team leadership, drive architectural decisions, and ensure high-quality delivery while collaborating with internal and external stakeholders. Key Responsibilities Technical Leadership • Lead and mentor a cross-functional engineering team (5–7 engineers), ensuring high standards in code quality and delivery • Own backend architecture, system design, and engineering roadmap • Drive end-to-end design, development, and deployment of scalable systems • Conduct code reviews, enforce best practices, and resolve complex technical challenges • Drive internal R&D initiatives in GenAI, automation, and scalable cloud solutions Backend Engineering • Design and build high-performance, scalable, and secure REST APIs using FastAPI • Develop microservices and distributed systems with fault tolerance and resiliency • Optimize systems for latency, scalability, and reliability • Implement best practices for: o Performance optimization o Security o Testing (unit/integration) o Observability (logging, metrics, tracing) Cloud & DevOps (Azure) • Architect and deploy cloud-native solutions using: o Compute: Azure App Services, Container Apps, AKS, Azure Functions o Data: Azure SQL, Cosmos DB, Storage Accounts o Monitoring: Application Insights, Log Analytics • Build and manage CI/CD pipelines using Azure DevOps • Implement Infrastructure-as-Code using Terraform (preferred) or Bicep • Ensure: o High availability and fault tolerance o Monitoring, alerting, and observability o Cost optimization and governance Client & Stakeholder Management • Act as the primary technical point of contact for internal clients • Lead technical discussions, solution design workshops, and architecture reviews • Translate business requirements into scalable technical solutions • Communicate risks, trade-offs, and progress effectively • Present technical concepts clearly to both technical and non-technical stakeholders Generative AI (Preferred) • Design and implement RAG-based architecture and LLM-powered services • Work with: o Azure OpenAI / OpenAI APIs o Vector databases (e.g., Azure AI Search) • Build production-grade GenAI applications focusing on scalability, latency, and security • Evaluate and integrate emerging AI technologies into client solutions Leadership & Soft Skills • Communication: Clearly explains technical decisions, trade-offs, and risks; leads client discussions confidently • Team Leadership: Mentors engineers, provides actionable feedback, and maintains high engineering standards • Ownership: Takes end-to-end responsibility for delivery, production issues, and system quality • Decision-Making: Makes sound technical decisions under ambiguity, balancing short-term needs and long-term design • Execution: Drives predictable delivery, proactively manages risks, and ensures high-quality outcomes • Collaboration: Works effectively across engineering, product, and business teams • Adaptability: Quickly learns, adopts new technologies (especially GenAI), and drives continuous improvement Skill Requirements 8–12 years in core software development, distributed systems, or large-scale platform engineering - including strong Python and Nodejs expertise. • 4-5 years building, deploying, and scaling machine learning models, LLMs, or agentic workflows into live production. • Deep experience with FastAPI (or similar modern frameworks) • Hands-on experience with Azure cloud architecture and operations • Strong knowledge of: o Microservices and distributed systems o Docker and Kubernetes (ACA and AKS) • Proven experience with: o CI/CD pipelines (Azure DevOps) o Infrastructure as Code (Terraform preferred) • Demonstrated leadership experience in mentoring teams and driving delivery Other Requirements Good to have : Experience with Azure AI foundry, Databricks, or big data pipelines • Knowledge of event-driven systems (Azure Service Bus, Azure Data Factory) • Familiarity with API gateways and service mesh • Understanding of cloud security, IAM, and governance Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 230,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. 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