Our team:

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.

We’ll trust you to:

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

You will need to have:

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

We would love to see:

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)

Salary Range = 160000 - 240000 USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.


We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards 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) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.