R&D Solution Lead

Overview

Lead the design, development, and implementation of technology solutions across R&D, with a focus on Microsoft Azure, software engineering, modern programming practices, and the effective use of Artificial Intelligence.

What you'll do

• Lead the design, development, and implementation of technology solutions across R&D by defining solution architecture, designing and coding software components, and ensuring functionality, usability, scalability, security, and adherence to engineering standards
• Provide hands-on technical leadership across Microsoft Azure services, cloud-native architecture, integration patterns, application development, and DevOps practices
• Develop, review, and guide software solutions using programming languages and technologies such as React, Java, JavaScript, and other relevant modern development frameworks
• Work with product teams, business stakeholders, architects, engineers, and external partners to translate business requirements into secure, reliable, and scalable technology solutions
• Address and resolve complex bugs, integration issues, performance concerns, and technical risks across R&D applications and platforms
• Evaluate and recommend appropriate technologies, frameworks, Azure services, and infrastructure components to enhance solution efficiency, resilience, and scalability
• Explore and apply Artificial Intelligence capabilities to relevant R&D use cases, considering responsible AI, data privacy, security, compliance, and business value
• Support engineering governance through design reviews, code reviews, technical documentation, quality controls, and adherence to the system development lifecycle
• Identify opportunities for continuous improvement, automation, technical debt reduction, and modernization across R&D technology solutions
• Ensure all configuration and deployment activities comply with GxP, validation, and audit requirements
• Support creation and maintenance of validation documentation, including configuration specifications, impact assessments, and test evidence and traceability
• Participate in audits, inspections, and compliance reviews as needed
• Support Level 2 / Level 3 incidents, defects, and change requests related to Vault configuration and deployments
• Troubleshoot configuration and environment-related issues in collaboration with Veeva, internal teams, and vendors
• Ensure timely resolution of issues impacting business operations
• Collaborate with Product Managers, Architects, QA, and Business SMEs to gather requirements and deliver solutions
• Support UAT execution and coordinate defect resolution
• Communicate clearly with stakeholders on release readiness, risks, and deployment status
• Maintain accurate documentation for configuration changes, deployment activities, and validation deliverables
• Use Jira, ALM, or equivalent tools for change tracking, defect management, and release coordination

What you'll need

• Degree in Information Technology, Computer Science, Software Engineering, or a related field
• 5+ years of relevant IT experience in software engineering, solution design, and product delivery
• Hands-on experience with Microsoft Azure across application hosting, integration, security, monitoring, data, and automation
• Strong programming and application development experience with React, Java, JavaScript, APIs, modern frameworks, and related technologies
• Experience designing, developing, integrating, and implementing enterprise applications and scalable technology solutions, including SaaS platforms
• Sound understanding of Artificial Intelligence and Generative AI, including practical applications, responsible AI, data privacy, and security
• Experience with DevOps and Agile engineering practices, including CI/CD, source control, automated testing, infrastructure as code, monitoring, release management, and the system development lifecycle
• Sound understanding of cybersecurity, compliance, data privacy, and risk management, preferably in a regulated pharmaceutical or life sciences R&D environment
• Strong problem-solving, stakeholder collaboration, communication, and technical leadership skills, with a hands-on approach and the ability to adapt to evolving technology and business needs

Nice to have

• Advanced Microsoft Azure certification relevant to solution architecture, application development, or DevOps engineering (a relevant Azure certification is preferred)
• Experience with Azure AI services, machine learning services, generative AI solutions, or AI-enabled application development
• Experience with Veeva Vault, Veeva CRM, or other SaaS platforms used in Pharma and Life Sciences
• Knowledge of integration technologies, APIs, microservices, containers, cloud security, and modern application architecture

Details

• Location: Bengaluru Campus 31