AWS DevOps & AI Engineer
AstraZeneca1 day ago
Chennai, IndiaMid Level / Senior
Responsibilities
- Build and maintain secure, repeatable AWS infrastructure using Terraform, CloudFormation, and related Infrastructure as Code tools.
- Design and maintain CI/CD pipelines with Jenkins, GitHub Actions, and GitLab CI, including quality gates and governance controls.
- Implement IAM, secrets management, network segmentation, compliance guardrails, and least-privilege security practices.
- Package and operate services with Docker on ECS and EKS, and use Lambda for event-driven workloads.
- Implement observability, alerting, remediation, and cost optimization using CloudWatch, Datadog, and Grafana.
- Develop reusable platform blueprints and self-service capabilities for engineering and data teams.
- Enable data processing, enterprise API, database, cloud-service, and messaging integrations using SQS, SNS, and EventBridge.
- Build Python integrations with AWS Bedrock, foundation models, LLM APIs, and embedding services.
- Implement RAG workflows including document ingestion, chunking, vectorization, retrieval, and grounded response generation.
- Monitor and evaluate AI applications, optimize inference costs, and integrate AI workloads into CI/CD and MLOps processes.
- Collaborate with cloud, DevOps, data, and machine learning teams and mentor peers.
Requirements
- 4–6 years of experience in AWS, continuous integration and delivery, cloud engineering, or a similar software engineering role.
- Strong hands-on experience with AWS services including EC2, ECS, S3, Lambda, IAM, CloudWatch, VPC, Load Balancers, SQS, and SNS.
- Experience with automated build and deployment pipelines and tools including Jenkins, GitHub Actions, GitLab CI, and/or Ansible.
- Practical Infrastructure as Code experience, preferably with Terraform and/or CloudFormation.
- Understanding of AWS networking, security, IAM, least privilege, Docker, containerization, Linux and Windows infrastructure, Linux administration, Bash, and shell scripting.
- Strong proficiency with Git, GitHub, Bitbucket, Python 3.x, API development, cloud-native applications, and software engineering practices.
- Experience developing or consuming REST APIs and integrating cloud and enterprise services.
- Working knowledge of Generative AI, LLMs, prompt engineering, embeddings, RAG, AWS Bedrock or an alternative managed GenAI platform.
- Experience using Python with LLM APIs, AI services, or foundation models, plus basic understanding of RAG architecture and vector search.
- Understanding of deploying AI applications with Docker and AWS ECS, EKS, or Lambda, and foundational MLOps/LLMOps practices.
- Bachelor’s or master’s degree or equivalent experience in Computer Science, Information Technology, a technical field, or a related subject area.
- Preferred experience includes Kubernetes/EKS administration, Helm, GitOps/Argo CD, AWS EFS, RDS, DynamoDB, Secrets Manager, EventBridge, Service Catalog, Cost Management, Kafka, SageMaker, Databricks, Snowflake, MLflow, Hugging Face, Strands Agents, LangChain, LlamaIndex, MCP, Airflow, and dbt.
- AWS certifications and experience with AI/LLM evaluation, observability, security, prompt/model caching, inference-cost optimization, and AI agents are desirable.
Benefits
- Work on platform capabilities used across AstraZeneca’s enterprise to support scientific and clinical outcomes.
- Collaborate in a high-energy, inclusive environment with cloud engineers, data specialists, and AI practitioners.
- Opportunities for learning, mentorship, technical ownership, and seeing solutions reach production.
- The posting lists a closing date of 20-Sept-2026 and provides reasonable accommodation for individuals with disabilities.
Tech Stack
Amazon DynamoDBAnsibleApache AirflowApache KafkaArgo CDAWSBashDatabricksDatadogdbtDockerGitGitHub ActionsGitLab CI/CDGrafanaHelmJenkinsKubernetesLinuxMLflowPythonSnowflakeTerraformWindows
Categories
About AstraZeneca
We're transforming the future of healthcare by unlocking the power of what science can do for people, society and the planet. For more information, visit www.astrazeneca.com. Community Guidelines: bit.ly/2MgAcio