Technical Lead – Retail Transformation (Azure, AI & IOT) at Codvo.ai

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

0.0

Posted On

06 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure, AI, IoT, Retail Technology, Microservices, API Design, Event-Driven Systems, DevOps, Cloud Security, Data Integration, Analytics, Automation, Leadership, Stakeholder Management, Data Pipelines, Architecture

Industry

Software Development

Description

Job Title: Technical Lead – Retail Transformation (Azure & AI Modernization) Location: Remote About Us At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology. Role Summary We are seeking a Technical Lead with strong retail technology experience to drive a multi-phase digital modernization initiative across store operations, supply chain, and customer experience. The ideal candidate will lead architecture, integrations, and delivery of Azure-based, AI-enabled, and IoT-driven retail solutions in partnership with internal stakeholders, external vendors, and cloud ecosystem partners. Key Responsibilities Solution Delivery & Technical Leadership Own and drive the end-to-end technical execution of cloud, AI, and IoT-based retail modernization initiatives. Develop scalable, secure Azure-native architectures and oversee implementation through production rollout. Work closely with engineering partners and cross-functional teams to deliver prioritized retail use cases. Platform Architecture & Integration Integrate data across POS, ERP, CRM, inventory, supply chain, and IoT devices using Azure services (Synapse, IoT Hub, Event Hub, Functions, APIM, AKS, Blob Storage, etc.). Implement reliable real-time and batch data pipelines for analytics, monitoring, and automation. Ensure security, governance, and observability across environments. Retail Use Case Execution Convert retail workflows such as shrink reduction, planogram compliance, store operations optimization, footfall analytics, and inventory accuracy into scalable technical solutions. Enable data-driven decision making through automation, AI, and analytics. Program & Stakeholder Management Act as the technical owner and primary point of contact for cloud and AI initiatives. Manage backlog, technical milestones, architecture reviews, and cross-team coordination. Provide technical updates, risks, and recommendations to leadership and business stakeholders. Required Skills & Experience Category Requirements Technical Expertise 8–12+ years in engineering or architecture roles, with at least 3–5 years in retail technology. Hands-on experience with Azure Services (Synapse, IoT Hub, Event Hub, Functions, APIM, AKS, AAD, Blob Storage, Monitor). Strong knowledge of microservices, API design, event-driven systems, DevOps, and cloud security. Retail Domain Understanding of store operations, loss prevention, planogram execution, inventory workflows, demand forecasting, and supply chain processes. Data & AI Familiarity with AI/ML platforms, CV-based analytics, and streaming data architectures (Event Hub, Kafka, etc.). Experience with RAG/GenAI is a plus. Leadership Proven ability to lead technical teams, collaborate with external partners, and deliver complex programs in fast-paced environments. Preferred Certifications Azure Solutions Architect (AZ-305)(preferred, not mandatory) Azure Developer (AZ-204) or Azure DevOps (AZ-400)(preferred, not mandatory) Relevant retail technology or cloud certifications (preferred, not mandatory)

Responsibilities

The Technical Lead will drive the technical execution of cloud, AI, and IoT-based retail modernization initiatives. They will oversee the development of scalable Azure-native architectures and ensure successful implementation across various retail use cases.