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BlackRock

Cloud Native DevOps Platform Engineer-Unstructured Data, Analyst

Posted Yesterday
In-Office
Atlanta, GA
Entry level
In-Office
Atlanta, GA
Entry level
The role involves building and automating CI/CD pipelines, managing data pipelines, supporting cloud applications, and working with various technologies.
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About this role

When BlackRock was started in 1988, its founders envisioned a company that combined the best of financial services with cutting edge technology. They imagined a company that would provide financial services to clients as well as technology services to other financial firms. The result of their vision is Aladdin, our industry leading, end-to-end investment management platform. Data is at the heart of Aladdin and of everything we do. The Data Engineering team is responsible for building and maintaining a cutting-edge data platform that provides quality data for Investors, Operations Teams, Data Scientists, and all users of the platform.

 

 

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

 

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
  • Understanding of the K8s Operator and Controller Patterns -- comfort and courage to wade into operator implementation code bases
  • Templating with Helm and Kustomize
  • Comfortable reading and writing golang code for integrating and extending K8s, Operators and controllers
  • GitOps with ArgoCD and CIOps via Ansible and Terraform
  • 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 
  • Experience moving AI based data products and/or Agentic systems to production
For Atlanta, GA Only the salary range for this position is USD$99,750.00 - USD$120,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.  Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement.

 

BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email [email protected]. All requests are treated in line with our privacy policy.

BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

Top Skills

Airflow
Alertmanager
Ansible
Argo Workflows
Argocd
Azure Blob Store
Cassandra
Cert-Manager
Git
Gitlab
Go
Grafana
Hadoop
Hashicorp Vault
Helm
Ignite
Istio
Kafka
Kubernetes
Kustomize
Langchain
MongoDB
Nats
Prometheus
Python
Redis
S3
Splunk
Terraform
Transformers

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