Engineering Manager

• Oversee the design and development of a modern, cloud-native data platform (e.g., using AWS/GCP/Azure, Snowflake, Databricks)
• Oversee the design and implementation of scalable search solutions across biomedical literature, clinical trial data and internal knowledge repositories
• Drive improvements in ranking, query understanding, entity extraction, and semantic search tailored to biomedical and life sciences content
• Integrate AI/ML/NLP techniques for biomedical ontologies, knowledge graphs, and semantic enrichment
• Ensure robust data pipelines, data lakes, and real-time streaming systems are in place for research, commercial, and clinical data
• Partner with research scientists, clinical teams, data science, and IT stakeholders to define requirements and deliver impactful search solutions
• Collaborate with data governance and compliance teams to ensure search systems adhere to healthcare regulations (HIPAA, GxP, FAIR data principles)
• Work closely with product managers and UX teams to ensure intuitive, high-value search experiences
• Implement data security best practices across platform layers
• Partner with data governance teams to enforce metadata management, lineage tracking, and data access controls
• Define and execute a roadmap for next-generation biomedical search platforms, aligned with Amgen’s R&D and business priorities
• Evaluate and integrate emerging technologies in NLP, generative AI, and biomedical information retrieval
• Ensure platforms are scalable, secure, and optimized for both internal enterprise users and external collaborations
• Lead, mentor, and grow a team of software and data engineers focused on developing scalable, secure data infrastructure and working on pharma-specific digital solutions
• Ensure high code quality, secure software practices, and robust CI/CD pipelines
• Drive best practices in software engineering, DevOps, and agile development
• Promote a culture of collaboration, continuous improvement, and accountability
• Oversee the full software development lifecycle (SDLC), ensuring compliance with GxP, 21 CFR Part 11, and other regulatory standards
• Lead and mentor a team of engineers specializing in search, information retrieval, and knowledge discovery
• Foster a culture of technical excellence, collaboration, and innovation
• Support career growth and continuous learning for team members

• Master’s degree in Computer Science, Software Engineering, or a related technical field with 8-13 years of software development experience OR Bachelor’s degree in Computer Science, Software Engineering, or a related technical field with 9-14 years of software development experience
• 8+ years of experience in software engineering, with 2–3 years in a leadership or managerial role
• Strong expertise in search technologies (Elasticsearch, Solr, Lucene, Vespa, or similar)
• Experience with NLP and ML frameworks
• Strong background in data platform technologies (e.g., Spark, Kafka, Snowflake, Delta Lake, Hadoop, datbroicks, MongoDb, DynamoDb, S3 Buckets)
• Experience with cloud infrastructure (AWS, Azure, or GCP), CI/CD, and containerization (Docker, Kubernetes)
• Knowledge of distributed systems and large-scale data platforms (Spark, Hadoop, or cloud-native equivalents)
• Strong programming skills (Python, Java, or Scala)
• Strong understanding of software development principles, cloud platforms (AWS/Azure/GCP), and modern tech stacks (e.g., Java, Python, Angular, React)
• Excellent communication, leadership, and problem-solving skills
• Hands on experience on data platform, software programming languages
• Strong problem solving, analytical skills
• Ability to learn quickly
• Excellent communication and interpersonal skills
• Proven ability to lead high-performing teams
• Strong communication and stakeholder engagement skills
• Ability to align technical execution with strategic business and scientific objectives

• Experienced with API integration, serverless, microservices architecture
• Experienced with Java, Python, React, Scala
• Experience with design patterns, data structures
• Experienced with AWS /Azure Platform, Building an deploying the code
• Experience in Agile software development methodologies
• Experience in End to End testing as part of Test Driven Development
• Willingness to work on AI Full stack Applications
• Experience working in regulated industries (ideally pharmaceutical, biotech, or healthcare)
• Work at the intersection of AI, search, and life sciences innovation
• Excellent analytical and troubleshooting skills
• Strong verbal and written communication skills
• Ability to work effectively with global, remote teams
• High degree of initiative and self-motivation
• Ability to manage multiple priorities successfully
• Team-oriented, with a focus on achieving team goals
• Strong presentation and public speaking skills

Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards