Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Docker @ 4
Kafka @ 4
Kubernetes @ 4
Redis @ 4
Vault @ 4
Spark @ 4
GCP @ 3
Airflow @ 4
Flink @ 4
AWS @ 3
Azure @ 3
FastAPI @ 4
Slack @ 4
.NET @ 4
Cassandra @ 4
Compliance @ 4
AI @ 6
Data Pipelines @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Bloomberg VAULT is the trusted platform for storing, surveilling, and reconstructing customer communications and financial transaction data across global enterprises. Thousands of organizations depend on VAULT to manage compliance across Bloomberg Message, Instant Bloomberg, Email, Messaging, Mobile, Files, Trades, Voice, and Social Media (MS Teams, Slack, Zoom, etc.).
Our cloud infrastructure processes millions of messages daily and stores trillions of archived objects. We are rapidly expanding our offerings and enhancing VAULT to meet the scale and complexity of modern compliance workflows.
What we build
- Communications surveillance
- Archival and search across communications and trades
- Trade reconstruction
- Case management
- Web-based applications
- The platform foundation powering all VAULT applications, ensuring consistency and scalability across Bloomberg
Big Data Management
At the core of VAULT is big data at scale. Our systems handle massive ingestion pipelines, long-term storage, and high-performance querying. We leverage distributed technologies (Kafka, Spark, Flink, Cassandra, Airflow, etc.) to deliver resilient, low-latency access to trillions of records, while continuously optimizing for scalability, efficiency, and reliability.
Responsibilities
- Build high-performance, distributed data pipelines and services
- Lead technical direction and ensure alignment with business needs
- Collaborate across teams using modern open-source tech (Kafka, FastAPI, Airflow, Spark, etc.)
- Mentor junior engineers and contribute to an inclusive team culture
Requirements
- Bachelor's in Computer Science, Engineering, or related field (or equivalent experience)
- 4+ years of professional experience in an object-oriented programming language
- Deep background in distributed, high-volume, high-availability systems
- Fluency in AI development tools
Preferred / Nice to have
- Experience with big data ecosystems (Kafka, Spark, Flink, Cassandra, Redis, Airflow)
- Familiarity with cloud platforms (AWS, Azure, GCP) and S3-compatible storage
- SaaS/PaaS development experience
- Container technologies (Docker, Kubernetes)
Compensation
Salary Range: 160,000 - 240,000 USD Annual + Benefits + Bonus
Benefits
The company offers a comprehensive benefits plan that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) with match, life insurance, and various wellness programs. The Company does not provide benefits directly to contingent workers/contractors and interns.
Reference
Ref # 10051335
Apply: https://bloomberg.avature.net/careers/Login?jobId=19513