Senior Cloud Platform Engineer
AstraZeneca4 days ago
Guadalajara, MexicoSenior
Responsibilities
- Design and operate secure multi-cloud landing zones and platform capabilities across AWS, Azure, and Google Cloud.
- Develop reusable Infrastructure as Code and Policy as Code incorporating security, residency, encryption, tagging, cost, and compliance controls.
- Build governed agents and self-service products for environment creation, workload onboarding, migration, lifecycle management, and decommissioning.
- Design agent and MCP schemas, permissions, versioning, ownership, lifecycle controls, and support routes.
- Integrate cloud workflows with IAM/OIDC, RBAC, secrets management, CI/CD, ITSM, observability, knowledge bases, and systems of record.
- Implement human approval gates, end-to-end traces, evaluation results, and audit records for agent and infrastructure activity.
- Enable GPU and accelerator workloads, scalable inference patterns, telemetry, AIOps, and proactive multi-cloud operations.
- Lead technical initiatives, mentor engineers, contribute to standards and design reviews, and partner with security, architecture, FinOps, application, data, and research teams.
Requirements
- Deep engineering experience in at least one of AWS, Microsoft Azure, or Google Cloud, with working knowledge of the other two.
- Hands-on experience with cloud landing zones, organizations, subscriptions, projects, networking, private endpoints, DNS, IAM, encryption, secrets, and centralized logging.
- Strong Terraform and Infrastructure as Code experience; native cloud frameworks such as AWS CloudFormation/CDK or Azure ARM are beneficial.
- Experience with GitHub, GitHub Actions, automated testing, artifact management, code review, release controls, observability, reliability engineering, incident response, and automated remediation.
- Programming and scripting experience with Python and at least one of TypeScript/Node.js, Go, or a similar language, plus API development and consumption.
- Experience designing agents with bounded actions, deterministic tool contracts, context management, error handling, and testable acceptance criteria.
- Experience publishing and consuming enterprise, partner, and cloud-provider MCP servers with stable schemas, authentication, authorization, versioning, and observability.
- Understanding of responsible AI infrastructure controls, managed AI platforms, data residency, encryption, model and tool access, evaluation, auditability, and fallback behavior.
- Experience with Amazon Bedrock/AgentCore, Azure AI Foundry/Azure OpenAI, Google Vertex AI, or equivalent managed AI platforms.
- Preferred experience with LangGraph, Strands Agents, FinOps, cloud migration and modernization, regulated-industry engineering, and professional certifications in cloud, Kubernetes, security, or FinOps.
Benefits
- Average minimum of three days per week working from the office, with flexibility around the expectation.
- Investment in mentorship, peer learning, technical challenges, and professional development events.
- Collaborative, inclusive environment supporting diverse perspectives and engineering innovation.
Tech Stack
Categories
About AstraZeneca
AstraZeneca is a global biopharmaceutical company that discovers, develops, manufactures, and commercializes prescription medicines for patients and healthcare systems. Its portfolio spans oncology, cardiovascular, renal and metabolism, respiratory and immunology, and rare diseases (expanded by the 2021 acquisition of Alexion). Founded in 1999 and headquartered in Cambridge, UK, it is a public company listed on the London Stock Exchange and Nasdaq, generating revenue primarily from drug sales and partnerships.