At Lilly, the business and technical problem is to ensure the reliability and resiliency of data pipelines and capabilities on the AWS data platform for Lilly Research and Development, meeting dynamic and high Quality and Regulatory standards, while assuring and improving operational and data capabilities.
Requirements
- Depth of AWS experiences
- Proven experience in managing validated systems and compliance processes.
- Deep understanding and prior experience leading the support of GxP systems where audit-readiness is paramount.
- Familiarity with the following technologies: AWS Cloud Services under Compute, Storage, Database, Database Migration, Orchestration, Analytics, Infrastructure, etc.
- Big Data Technologies such as spark, pyspark for near-real time data processing.
- Microservice system design, cloud performance design, cloud hosting and DevOp.
- Data ingestion, data products, consumption enablement, analytics and AI/ML solutions.
Responsibilities
- responsible for system reliability and resiliency meeting dynamic and high Quality and Regulatory standards, assuring and improving operational and data capabilities.
- capitalize on automation and AI opportunities to reduce manual effort and operational incidents and risks, and improve operations.
- assessing, prioritizing, driving and implementing operational improvements and solutions, continuously learning, guiding and elevating teams for improved operations, metrics and stakeholder experiences.
- leading the support of GxP systems where audit-readiness is paramount.
- System Custodianship experience.
- reliability engineering and monitoring practices, environments, and tools monitoring/observability, configuration management, CI/CD, etc.).
- Code versioning tools such as Github
Other
- Strong background in Service Management
- Knowledge of DevSecOps quality, project management and software development approaches.
- Ability to effectively communicate and influence key stakeholders to support and implement proposed strategies, process improvements and operational decisions
- Resourcefulness and ability to devise creative solutions to problems
- Strong understanding of tech to gather data and problem solve
