As a Data Platform Cloud/DevOps Engineer in the Data Engineering team you will: -

• Work alongside our systems engineers and UI developers to help design and build scalable, automated CI/CD pipelines.

• Help prove out and productionize infrastructure and tooling to support scalable cloud-based applications

• Working/Unlocking myriad generative AI/ML use cases for Aladdin Data and thus for BlackRock

• Have fun as part of an awesome team

Specific Responsibilities:

• Working as part of a multi-disciplinary squad to establish our next generation of data pipelines and tools

• Be involved from inception of projects, understanding requirements, designing & developing solutions, and incorporating them into the designs of our platforms

• Mentor team members on technology and best practices

• Build and maintain strong relationships between DataOps Engineering and our Technology teams

• Contribute to the open source community and maintain excellent knowledge of the technical landscape for data & cloud tooling

• Assist in troubleshooting issues, support the operation of production software

• Write technical documentation

Desirable Skills

Data Operations and Engineering 

• Comfortable reading and writing python code for data acquisition, ETL/ELT 

• Experience orchestrating data pipelines with AirFlow and/or Argo Workflows 

• Experience implementing and operating telemetry-based monitoring, alerting, and incident response systems. We aim to follow Site Reliability Engineering (SRE) best practices. 

• Experience supporting database or datastores e.g. MongoDB, Redis, Cassandra, Ignite, Hadoop, S3, Azure Blob Store; and various messaging and streaming platforms such as NATS or Kafka

Cloud Native DevOps Platform Engineering 

• Knowledge of the Kubernetes (K8s) APIs with a strong focus on stateful workloads 

• Templating with Helm, ArgoCD, Ansible, and Terraform 

• Understanding of the K8s Operator Pattern -- comfort and courage to wade into (predominantly golang based) operator implementation code bases 

• Comfortable building atop K8s native frameworks including service mesh (Istio), secrets management (cert-manager, HashiCorp Vault), log management (Splunk), observability (Prometheus, Grafana, AlertManager).

• Experience in creating and evolving CI/CD pipelines with GitLab or Github following GitOps principles

Natural/Large Language Models  (Good to have)

• Experience with NLP coding tasks like tokenization, chunking, tagging, embedding, and indexing supporting subsequent retrieval and enrichment 

• Experience with basic prompt engineering, LLM fine tuning, and chatbot implementations in modern python SDKs like langchain and/or transformers