Senior Software Engineer

2 weeks ago

Hook, Greater London, United Kingdom Elanco Full time

About the Role:

We are seeking a highly skilled Senior Software Engineer to join our team at Elanco. As a key member of our engineering team, you will play a critical role in driving the direction of our platform and automation capabilities, including our internal technical products related to GenAI capabilities.

Key Responsibilities:

  • Collaborate with our Principal Platform Engineer to drive the direction of our platform and automation capabilities.
  • Work with a diverse team on some of Elanco's most exciting engineering initiatives, helping to drive secure, reliable, and efficient solutions using the latest technology.
  • Identify continuous improvement opportunities in our core ecosystem and implement new ways to enhance application team and developer experience.
  • Bring your expertise to a team of talented engineers and help shape the team's vision to better enable our secure, reliable, and efficient goals.
  • Follow a value-driven mentality and work across the engineering team to 'walk in the shoes' of application teams and operational engineering teams.

Daily/Monthly Responsibilities:

  • Build and run responsibilities for GenAI, ensuring robust support and folding into standard incident processes as the products mature.
  • Help work with distributed teams across the business on how to consume AI/ML capabilities.
  • Hands-on code, build, govern, and maintain.
  • Work as part of a scrum team to deliver high-quality technical deliverables.
  • Design and build solutions to support the automation of manual IT and business processes.
  • Continually modernize software development processes using Continuous Integration and Continuous Delivery (CI/CD) techniques to ensure efficient and high-quality delivery.
  • Establish strong partnerships with key service integrators (vendors) to support the adoption of automation capabilities.
  • Establish a strong partnership with our application health program and Information Security to identify opportunities and mitigate risks.
  • Coach and mentor junior engineers and members of our student program to help build a strong connected organization.
  • Support application teams, internal and external, to help resolve barriers related to building, deployment, and utilization of engineering products.

Basic Qualifications:

  • Must have experience in the following areas:
  • Working within a DevOps team, including modern software development practices, covering Continuous Integration and Continuous Delivery (CI/CD), Test-Driven Development (TDD), SDLC, etc.
  • Familiarity working within an agile team.
  • Developing machine learning models.
  • Familiarity with natural language processing or AI technologies.
  • Experience with data pipelines and preferably processing of documents.
  • Strong background in either Python or TypeScript.
  • Operational experience taking internal products and ensuring they are well maintained, supported, and iterated upon.
  • Experience working with technical and non-technical team members to encourage adoption of new versions of software or products.
  • Experience in some of the following areas:
  • Experience working with Cloud Native design patterns, with a preference towards Microsoft Azure or Google Cloud.
  • Hands-on technical experience with at least some of our core technologies (Terraform, Ansible, Packer).
  • Working with cloud cognitive services.
  • Working with AI/Embeddings technologies.
  • Experience working in/with an infrastructure team advantageous.
  • Experience with modern application architecture methodologies (Service-Oriented Architecture, API-Centric Design, Twelve-Factor App, FAIR, etc.).
  • Experience supporting digital platforms, including Integrations, Release Management, Regression Testing, Integrations, Data Obfuscation, etc.
  • Knowledge of Azure Data Factory/GCP Cloud Data Fusion, Microsoft Azure Machine Learning or GCP Cloud ML Engine, Azure Data Lake, Azure Databricks or GCP Cloud Dataproc.
  • Familiarity with big data technologies and distributed computing frameworks, such as Hadoop, Spark, or Apache Flink.
  • Experience scaling an 'API-Ecosystem', designing, and implementing 'API-First' integration patterns.
  • Experience working with authentication and authorization protocols/patterns.

Other Information: Occasional travel may be required.

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