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Senior Manager – Platform Engineering
| Company | PepsiCo |
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| Location | Plano, TX, USA |
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| Salary | $118700 – $198800 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Expert or higher |
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Requirements
- Bachelor’s degree in Computer Science, Information Systems, or a related technical field.
- 12+ years of experience in platform engineering, cloud architecture, and infrastructure management.
- 5+ years of experience in managing and optimizing cloud platforms, preferably in Azure.
- Deep expertise in Azure services, including Azure Kubernetes Service (AKS), Azure Databricks, and Azure Data Factory.
- This role is only open to those with indefinite right to work in the US.
Responsibilities
- Lead platform cost optimization initiatives to enhance efficiency and reduce expenditures.
- Manage and scale Azure Data Platforms to support new product launches and ensure platform stability.
- Build and oversee automation and monitoring frameworks that capture operational KPIs and performance metrics for data platforms.
- Implement best practices for system integration, security, performance tuning, and platform management.
- Drive increased adoption of data, data science, and business intelligence to empower business operations.
- Collaborate with internal clients (data science and product teams) to drive solutioning and proof-of-concept (PoC) initiatives.
- Advance the architectural maturity of the data platform by working with enterprise architects and strategic partners.
- Develop and optimize procedures for deploying data science models into production environments.
- Define and enforce SLAs for platform and operational processes.
- Support large-scale experimentation and model deployment by data scientists.
- Research state-of-the-art methodologies to enhance platform performance and capabilities.
- Document learnings, best practices, and knowledge transfer strategies.
- Develop reusable packages or libraries to streamline platform engineering efforts.
Preferred Qualifications
- Master’s Degree in Computer Science, Information Systems, or a related technical field.
- Expertise in platform observability, automation, and performance tuning.
- Experience with building large-scale, distributed platform services with high availability and resiliency.
- Proven ability to manage multiple platform engineering teams and collaborate with cross-functional stakeholders.
- Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform, ARM templates, or Bicep.
- Strong knowledge of cloud security, governance, and compliance frameworks.
- Experience in implementing CI/CD pipelines and DevOps/DataOps best practices.
- Knowledge of containerization, microservices, and serverless architectures.
- Experience working with monitoring and logging tools such as Prometheus, Grafana, or Azure Monitor.
- Familiarity with cost management tools and techniques for optimizing cloud expenditures.
- Understanding of metadata management, data lineage, and platform governance.
- Exposure to AI-driven analytics and automation tools is a plus.
