Engineer - Technical SME, EHS & Sustainability

Overview

Engineer - Technical SME, EHS & Sustainability performs defined configuration, testing, documentation and technical support activities for Engineering, EHS and Sustainability central applications used on manufacturing sites globally.

What you'll do

• Implement technical solutions (scripts, SQL queries etc.) and configurations in accordance with approved architecture and product strategy.
• Support technical quality for the assigned scope, including specifications, design documentation, configuration records and technical validation evidence.
• Perform troubleshooting and root-cause analysis, with timely escalation where manufacturing batches, product quality, patient supply or data integrity may be affected.
• Support design and configuration of interfaces, workflows, recipes, data models and environments.
• Analyse logs, metrics, monitoring and system behaviour to identify defects, performance issues and opportunities for improvement.
• Configure approved solutions using standard engineering procedures and detailed instructions.
• Support preparation and update of technical specifications, configuration documentation and validation records.
• Execute defined technical tests, capture evidence and record defects accurately.
• Review logs, alerts and monitoring information and gather evidence for investigation.
• Support deployment, migration, upgrade and environment activities.
• Maintain technical records, configuration inventories, runbooks and knowledge articles.
• Escalate technical risks and unresolved issues in line with documented criteria.
• Support site engineers and super users during implementation and operation.
• Configure, test and support AI-enabled solutions and integrations.
• Evaluate AI-generated outputs for accuracy, relevance and business usability.

What you'll need

• Bachelor's or Master's degree in Engineering, Computer Science, Information Technology, Automation, Data, Life Sciences or a relevant technical discipline, or equivalent practical experience.
• Typically 1 to 3 years of experience in technical support, software or platform engineering, automation, integration, data, testing or a related technical role (preferably in Engineering, EHS & Sustainability domain).
• Experience performing configuration, testing or technical support activities using documented standards and procedures.
• Experience creating or updating technical records, specifications, test evidence, configuration inventories or knowledge articles.
• Ability to review logs, alerts, metrics and error information and gather evidence for investigation.
• Experience supporting deployments, upgrades, environment activities or defect resolution.
• Ability to collaborate with Engineers, Product teams, Service teams, site users and suppliers.
• Familiarity with security, data integrity, change, validation and documentation controls.
• Ability to learn technical platforms and escalate issues when complexity or risk exceeds delegated authority.
• Hands-on experience with Generative AI solutions (Copilot, Azure OpenAI, AI assistants, chatbots, etc.).
• Experience testing and validating AI or data-driven solutions.
• Experience working with structured and unstructured data.
• Experience using Python, SQL or similar technologies to solve business problems.

Nice to have

• Relevant technical, AI, cloud, integration, automation, data, validation, cyber security or engineering certifications.
• Strong analytical and structured problem-solving skills.
• Clear technical writing and disciplined maintenance of specifications, designs, test evidence and configuration records.
• Understanding of interfaces, workflows, data, environments, monitoring and operational support.
• Awareness of security, quality, validation, data integrity, resilience and change controls.
• Ability to collaborate across global business, site, engineering, architecture, product, service and supplier teams.
• Continuous-improvement mindset with emphasis on standardisation, reuse, automation and knowledge sharing.
• Attention to detail and disciplined adherence to approved procedures.
• Willingness to seek guidance where technical authority or risk thresholds are unclear.
• Understanding of Generative AI and Large Language Models (LLMs).
• Prompt engineering and AI output evaluation.
• Python and/or SQL for data analysis, testing and troubleshooting.
• API and system integration knowledge (REST, JSON).
• Understanding of responsible AI, data privacy and security principles.

Details

• Location: Bengaluru, India (Luxor North Tower).