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Primetrace Technologies
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Data Platform Cloud/DevOps Engineer, Aladdin Data, Vice President

Data Platform Cloud/DevOps Engineer, Aladdin Data, Vice President

Primetrace Technologies

5 - 8 years

10 - 15 Lacs

Gurugram

Posted:1 week ago| Platform:

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Skills Required

Coding cassandra devops Cloud Healthcare Troubleshooting Open source Monitoring Technical documentation Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

About this role

Team Overview:

Data is at the core of the Aladdin platform, and increasingly, our ability to consume, store, analyze, and gain insight from data is a key component of our competitive advantage. The Data Engineering team is responsible for the data ecosystem within BlackRock. We engineer high performance data pipelines, provide a fabric to discover and consume data, and continually evolve our data storage capabilities. We believe in writing small, testable code with a focus on innovation. We are committed to open source, and we regularly contribute our work back to the community.

We are seeking top tier Cloud Native DevOps Platform Engineers to augment our Enterprise Data Platform team. Our objective is to extend our data lifecycle management practices to include structured, semi structured and unstructured data. This role requires a breadth of individual technical capabilities and competencies, though, most important, is a willingness and openness to learning new things across multiple technology disciplines. This role is for practitioners and not researchers.

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

Overall 5-8 years of hands-on experience in DevOps Cloud or related Engineering practices.

Our benefits
.

Our hybrid work model

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Data Platform Cloud/DevOps Engineer, Aladdin Data, Vice President