Senior Advanced Data & AI Platform Engineer (Finance)
We are seeking a highly skilled Senior Platform Engineer with over 8 years of experience in platform engineering, cloud platforms, and MLOps. The ideal candidate will have extensive expertise in Azure and GCP, containerization, orchestration, and building scalable, secure platform infrastructure. You will be responsible for designing and implementing robust MLOps pipelines, LLM agentic infrastructure, and CI/CD workflows to support mission-critical systems.
Key Responsibilities
- Design and implement scalable MLOps pipelines to support machine learning workflows.
- Build and maintain LLM agentic infrastructure for advanced AI capabilities.
- Architect and manage cloud infrastructure on Azure and GCP, leveraging cloud-native services.
- Implement CI/CD workflows using GitHub Actions and other tools.
- Manage containerization and orchestration using Docker and Kubernetes.
- Design and manage private networking solutions, including VNETs, private endpoints, and secure network configurations.
- Utilize Databricks with Unity Catalog and Delta Live Table Pipelines for data processing.
- Implement monitoring and observability solutions to ensure platform reliability.
- Develop and maintain secure platform components, including IAM, encryption, and access controls.
- Collaborate on database and data warehouse management (e.g., PostgreSQL, SQL Server).
- Ensure platform security through patch management, incident response, and compliance with regulations.
- Extensive experience with Azure and GCP, including deploying and managing cloud infrastructure and leveraging cloud-native services for scalable platforms.
- Expertise in designing and implementing MLOps pipelines, including Azure Machine Learning, Vertex AI (GCP), and related services.
- Proficiency in building LLM agentic infrastructure, including Azure Foundry AI, GCP Model Garden, and Vertex AI capabilities.
- Strong experience with GitHub CI/CD and Action workflow implementation.
- Expertise in Docker containerization and Kubernetes orchestration for scalable deployments.
- Proficiency with Databricks, Unity Catalog, and Delta Live Table Pipelines.
- Strong understanding of networking (TCP/IP, DNS, HTTPS, Routers, Subnets, VNETs, private endpoints).
- Experience with monitoring and observability solutions for platform health and performance.
- Proficiency with Unix/Linux systems for platform management.
- Knowledge of secure platform design, including data encryption, IAM, network security, and compliance.
- Experience with databases (PostgreSQL, SQL Server) and data warehouses.
- Familiarity with CI/CD tools such as Bitbucket, Bamboo, and Octopus.
- Experience with scanning tools like Blackduck Hub, Twistlock, Coverity, and SonarQube.
- Knowledge of AWS, including AWS MSK, RedShift, Lambda services, and AWS Glue.
- Understanding of microservices and distributed systems architecture.
- Familiarity with graph databases.
- Knowledge of data governance and anonymization practices.
- Understanding of LangGraph and LangSmith for advanced AI workflows.
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.
