Azure Full Stack Tech Lead AI & Cloud Engineering

Company Description

Socxo's Employee Advocacy Platform transforms employees, customers, and partners into brand advocates, enabling brands to increase visibility and trust organically.

Socxo is a leader in promoting the concept of ‘advocacy marketing’ in the USA, Europe and India with over 50+ Brands as customers within a span of eight years of launching its offering as a SaaS platform.

Role Description

Socxo is seeking a Technical Lead proficient in Microsoft/Azure Tech Stack, who combines strong engineering skills, architectural thinking, and AI-native design capabilities within an enterprise environment. The role requires hands-on engineering/coding, with responsibility for leading a small team, shaping architecture, and delivering secure, scalable, cloud-native solutions.

Key responsibilities

Design, build, and own full-stack applications using .NET Core, modern JavaScript frameworks (Angular/React), and Azure services, ensuring scalability, security, and performance.

Define and implement application and integration architectures including RESTful APIs, MCP-style integrations, and data pipelines aligned to enterprise standards.

Lead and mentor the engineering team: drive coding standards, code reviews, test automation, and DevOps practices while remaining a strong individual contributor.

Manage cloud deployments on Azure (and where needed AWS), including CI/CD using Azure DevOps or GitHub Actions, monitoring, logging, and performance optimization.

Embed application security and compliance into design and implementation, working with architecture and security teams to meet enterprise governance requirements.

Collaborate with Product Owner and cross-functional stakeholders to translate product requirements into technical solutions and incremental delivery plans.

Core technical skills

8–10 years of experience as a lead or senior engineer with hands-on development across front-end, backend, and databases.

Strong experience with HTML, CSS, JavaScript/TypeScript and frameworks such as Angular or React for building responsive front-end experiences.

Proficiency in .NET Core, C#, RESTful API design, and microservices or modular monolith patterns for enterprise systems.

Database skills across SQL Server and at least one NoSQL technology – MongoDB or equivalent NoSQL Database platforms, including schema design and performance tuning.

Usage of Azure services - App Services, Functions, API Management, Storage, Azure SQL, NoSQL DB, messaging, monitoring

Experience with DevOps workflows using CI/CD pipelines, automated testing, and release management in a structured enterprise SDLC.

Current experience as a Tech Lead or as an Engineering Manager capacity, driving digital Product initiatives.

AI and modern engineering capabilities

Strong understanding of LLM concepts and how to interact with them programmatically within application workflows (e.g., chat, agents, RAG, tool calling).

Hands-on experience using GitHub Copilot Pro in VS Code or Visual Studio for feature development, test generation, refactoring, and lightweight documentation.

Ability to design and implement AI-native and AI-refactoring approaches: where to embed LLMs, vector databases, orchestration layers, and guardrails in existing .NET/Azure architectures.

Experience or familiarity with Semantic Kernel, Microsoft.Extensions.AI, and integrating Azure OpenAI or similar providers into production systems.

Desirable:

Understanding of MCP-based tooling (building and consuming MCP tools/servers in C#) and using them to extend developer workflows and application capabilities.

Knowledge of vector databases and RAG patterns, and basic awareness of AI cost management considerations (token usage, caching, batching, model choice).

Behavioral and leadership expectations

Experience technically leading software development teams in an enterprise context. Please note this is not a pure project management role.

Strong problem-solving skills, ownership mindset, and ability to work effectively in hybrid/remote setups across distributed teams.

Clear and structured communication, with the ability to explain trade-offs and AI/architecture choices to both technical and non-technical stakeholders.

Commitment to engineering best practices (clean code, testing, documentation where needed) and continuous improvement of team workflows and developer experience.

Preferred Qualifications

Certifications in Microsoft Azure Architecture

Exposure to AI solutions development and cost management across AI workloads.

What we offer

Cutting edge Product development

Competitive compensation

Collaborative and Growth environment

Location:

Kochi, Bangalore, Coimbatore

Kochi, Bangalore, Coimbatore

Remote work to begin and transition to a Hybrid work during mid-year - 2026.