Senior IT Architect (Senior Data Operations Engineer)

Responsibilities may include the following and other duties may be assigned:

• Develop and maintain robust, scalable data pipelines and infrastructure automation workflows using GitHub, AWS, and Databricks.
• Implement and manage CI/CD pipelines using GitHub Actions and GitLab CI/CD for automated infrastructure deployment, testing, and validation.
• Deploy and manage Databricks LLM Runtime or custom Hugging Face models within Databricks notebooks and model serving endpoints.
• Manage and optimize Cloud Infrastructure costs, usage, and performance through tagging policies, right-sizing EC2 instances, storage tiering strategies, and auto-scaling.
• Set up infrastructure observability and performance dashboards using AWS CloudWatch for real-time insights into cloud resources and data pipelines.
• Develop and manage Terraform or CloudFormation modules to automate infrastructure provisioning across AWS accounts and environments.
• Implement and enforce cloud security policies, IAM roles, encryption mechanisms (KMS), and compliance configurations.
• Administer Databricks Workspaces, clusters, access controls, and integrations with Cloud Storage and identity providers.
• Enforce DevSecOps practices for infrastructure-as-code, ensuring all changes are peer-reviewed, tested, and compliant with internal security policies.
• Coordinate cloud software releases, patching schedules, and vulnerability remediations using Systems Manager Patch Manage.
• Automate AWS housekeeping and operational tasks such as:
• Cleanup of unused EBS Volumes, snapshots, old AMIs
• Rotation of secrets and credentials using secrets manager
• Log retention enforcement using S3 Lifecycle policies and CloudWatch Log groups
• Perform incident response, disaster recovery planning, and post-mortem analysis for operational outages.
• Collaborate with cross-functional teams including Data Scientists, Data Engineers, and other stakeholders to gather, implement the infrastructure and data requirements.

Required Knowledge and Experience:

• 8+ years of experience in DataOps / CloudOps / DevOps roles, with strong focus on infrastructure automation, data pipeline operations, observability, and cloud administration.
• Strong proficiency in at least one Scripting language (e.g., Python, Bash) and one infrastructure-as-code tool (e.g., Terraform, CloudFormation) for building automation scripts for AWS resource cleanup, tagging enforcement, monitoring and backups.
• Hands-on experience integrating and operationalizing LLMs in production pipelines, including prompt management, caching, token-tracking, and post-processing.
• Deep hands-on experience with AWS Services, including
• Core: EC2, S3, RDS, CloudWatch, IAM, Lambda, VPC
• Data Services: Athena, Glue, MSK, Redshift
• Security: KMS, IAM, Config, CloudTrail, Secrets Manager
• Operational: Auto Scaling, Systems Manager, CloudFormation/Terraform
• Machine Learning/AI: Bedrock, SageMaker, OpenSearch serverless
• Working knowledge of Databricks, including:
• Cluster and workspace management, job orchestration
• Integration with AWS Storage and identity (IAM passthrough)
• Experience deploying and managing CI/CD workflows using GitHub Actions, GitLab CI, or AWS CodePipeline.
• Strong understanding of cloud networking, including VPC Peering, Transit Gateway, security groups, and private link setup.
• Familiarity with container orchestration platforms (e.g., Kubernetes, ECS) for deploying platform tools and services.
• Strong understanding of data modeling, data warehousing concepts, and AI/ML Lifecycle management.
• Knowledge of cost optimization strategies across compute, storage, and network layers.
• Experience with data governance, logging, and compliance practices in cloud environments (e.g., SOC2, HIPAA, GDPR)
• Bonus: Exposure to LangChain, Prompt Engineering frameworks, Retrieval Augmented Generation (RAG), and vector database integration (AWS OpenSearch, Pinecone, Milvus, etc.)

Preferred Qualifications:

• AWS Certified Solutions Architect, DevOps Engineer or SysOps Administrator certifications.
• Hands-on experience with multi-cloud environments, particularly Azure or GCP, in addition to AWS.
• Experience with infrastructure cost management tools like AWS Cost Explorer, or FinOps dashboards.
• Ability to write clean, production-grade Python code for automation scripts, operational tooling, and custom CloudOps Utilities.
• Prior experience in supporting high-availability production environments with disaster recovery and failover architectures.
• Understanding of Zero Trust architecture and security best practices in cloud-native environments.
• Experience with automated cloud resources cleanup, tagging enforcement, and compliance-as-code using tools like Terraform Sentinel.
• Familiarity with Databricks Unity Catalog, access control frameworks, and workspace governance.
• Strong communication skills and experience working in agile cross-functional teams, ideally with Data Product or Platform Engineering teams.

If interested, please share below details on ashwini.ukekar@medtronic.com

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Regards

Ashwini Ukekar

Sourcing Specialist