Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
AstraZeneca1 day ago
Base Salary
$145k - $185k/yr
Responsibilities
- Design, build, and operate scalable AWS cloud platform capabilities for production ML/AI and Generative AI workloads.
- Develop reusable AWS CDK infrastructure constructs and platform tooling in TypeScript and/or Python.
- Operate containerized workloads with Amazon ECS and AgentCore, including networking, IAM, secrets, storage, autoscaling, and workload isolation.
- Build and maintain CI/CD and GitOps workflows for safe, automated, repeatable, and multi-environment deployments.
- Improve platform availability, scalability, resilience, performance, reliability, and operational readiness.
- Implement monitoring, alerting, SLOs, runbooks, tracing, logging, metrics, and production troubleshooting processes.
- Build and operate an AI gateway supporting model routing, fallback, authentication, rate limiting, quotas, provider abstraction, and cost controls.
- Provide governed access to foundation models through Amazon Bedrock and other model platforms.
- Build observability and telemetry pipelines for token consumption, latency, throughput, errors, model performance, and cost attribution.
- Implement security, auditability, governance, compliance, and cost-optimization controls for AI workloads in a regulated environment.
- Partner with software, data, ML/AI, security, infrastructure, and product teams to move workloads from experimentation into production.
Requirements
- At least 4 years of hands-on experience in platform engineering, infrastructure, site reliability engineering, or DevOps roles where infrastructure code was the primary output.
- Deep hands-on experience designing, deploying, and operating production cloud-native infrastructure on AWS.
- Strong experience with AWS services including Bedrock, ECS, IAM, VPC, load balancing, S3, CloudWatch, and Secrets Manager.
- Strong infrastructure-as-code experience; AWS CDK with Python and/or TypeScript is preferred, and strong Terraform engineers willing to work in CDK are welcome.
- Strong Docker and Amazon ECS experience, including deployment, autoscaling, resource management, health checks, networking, security, and troubleshooting.
- Experience designing and maintaining CI/CD and/or GitOps pipelines for production cloud workloads.
- Strong understanding of high availability, scalability, resiliency, observability, performance, security, and cost optimization.
- Experience with on-call rotations, incident response, and root-cause analysis for production systems.
- Strong Python and/or TypeScript software engineering skills for production platform tooling and automation.
- Experience with production observability technologies such as CloudWatch, OpenTelemetry, Prometheus, Splunk, Datadog, Pydantic Logfire, or Langfuse.
- Experience partnering with software, data, or ML/AI teams to transition workloads into reliable production environments.
- Preferred experience includes internal developer platforms, Generative AI/LLM infrastructure, AI/model gateways, AgentCore, agentic AI, RAG, conversational AI, MCP, LLM evaluation platforms, regulated-industry infrastructure, GxP controls, and Kubernetes/Amazon EKS migrations.
Benefits
- Hybrid work model in Gaithersburg, Maryland, with employees expected to work from the office three days per week.
- Candidates must live within commuting distance of Gaithersburg or be willing to relocate.
- Short-term incentive bonus opportunity and eligibility for an equity-based long-term incentive program.
- Qualified retirement program including a 401(k) plan, paid vacation and holidays, paid leaves, and medical, prescription drug, dental, and vision coverage.
- Equal opportunity employer with disability accommodations available on request.
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.