Apply for job
View Job
We are the 1st Hub for Developers! Our motto is “From Developers to Developers”! Our vision is to provide real career opportunities for candidates that want to take the next step in their career. Code.Career is the first process that you will speak with developers (only!) and tech (freak) experts!
Our client’s Generative AI and Intelligent Assistant Products & Platforms Team, deliver and maintain the products and platforms and capabilities that enable Pfizer Business Units to automate, augment and accelerate business processes, while connecting digitally with their external patients and HCPs. They apply AI to build build intelligent solutions at a global scale that positively impact Pfizer business performance. Pfizer is accelerating the use of digital technology across their entire enterprise.
The Team seeks a Manager, AI DevOps Engineer who will be responsible for system architecture, system design and solutions development to enable applications to embed AI anywhere it can enrich applications. This position requires a blend of expertise across Cloud Engineering, Serverless architecture and DevSecOps, along with in-depth full stack development practices.
ROLE RESPONSIBILITIES
The AI DevOps engineer colleague’s responsibilities include but are not limited to:
- Manage and own all Cloud based assets in AWS accounts
- Optimize the use and spend on AWS assets and automate provisioning and retirement activities
- Foster a culture of continuous improvements across the CI/CD environment with integrated DevSecOps practices.
- Develop and maintain standards, best practices and playbooks for DevSecOps practices
- Interface with Platform Operations teams to ensure all assets, platforms and services are operating at optimal scale.
- Contribute to the process required to identify and evaluate intelligent micro-services and platforms that can be complimented and scaled across AIDA organization.
- Support day-to-day implementation needs and lead issue investigation and resolution with priority.
BASIC QUALIFICATIONS
- Bsc degree is required
- 4+ years of experience in deploying enterprise software solutions in public clouds preferably AWS
- Familiar with AWS services Fargate /Lambda/Dynamo DB)
- 3+ Years of managing technical and software development teams and automating end to end CD/CI pipelines
- Familiar with managing production services using Kubernetes and Docker.
- Proficient understanding of code versioning tools such as GIT,
- Has owned systems and managed development of end-to-end applications.
- Has experience with production deployments and support on critical mission applications
- Experience with IaC tools like Terraform and CloudFormation
- Basic Knowledge with generative AI services offered by several providers like AWS /Azure/GCP
- Ability to contribute to technical specifications and technical design documentation for the software development team.
- Familiar with ITIL framework .
- Experience working in teams to address software defect analysis, troubleshooting, and resolution.
- Proven ability to work collaboratively with the software development team.
- Candidate must be an excellent communicator.
