Senior Software Engineer - Data License Analytics, Pune

About the Team

Data License is Bloomberg's enterprise data delivery platform, powering financial institutions worldwide with reference, pricing, regulatory, and alternative data - covering over 50 million securities across portfolio accounting, risk, compliance, and trading use cases.

The DL Analytics Platform is the intelligence and reliability layer of this ecosystem. We build the data ingestion pipelines, embeddings infrastructure, AI agents, and MCP tool servers that give engineers and LLMs structured, query able access to operational data. Our systems power incident triage, semantic search over tickets and documentation, pipeline health analytics, and self-service data onboarding for partner teams across Data License.

We are expanding our engineering presence into Pune and the broader APAC region - a greenfield initiative where engineers will collaborate closely with colleagues in Dublin, London, and New York, helping shape the culture and technical direction of this hub from day one.

What's the role?

You'll join a team at the intersection of data infrastructure, reliability engineering, and applied AI - building systems that make Bloomberg's data delivery more reliable, intelligent, and scalable.

Reliability Engineering: GenAI-powered tooling for incident triage, root-cause analysis, and blast radius assessment - exposing live pipeline data to LLM agents via MCP tool servers.

Data Analytics & AI: Ingestion pipelines into Apache Iceberg, semantic search over operational data using vector databases and embedding models, and automated KPI tracking to surface platform health and anomalies.

We'll trust you to:

Build GenAI tools and AI agents - RAG pipelines, contextual embedding systems, and MCP tool servers that give LLM agents structured access to live pipeline data

Build and maintain data ingestion pipelines into Apache Iceberg, orchestrated via Apache Airflow

Develop semantic search capabilities using vector databases and hosted embedding models

Build self-service ingestion APIs enabling partner teams to onboard to the platform without managing Iceberg or storage infrastructure

Design microservices and backend APIs - with opportunities to contribute to React/TypeScript interfaces embedded in production tools

Instrument systems with OpenTelemetry and contribute to anomaly detection capabilities on the near-term roadmap

Technologies

Languages & Frameworks: Python (3.11 / 3.12 / 3.13), TypeScript, FastAPI, React

Data & Orchestration: Apache Iceberg, Apache Airflow, PyArrow, PyIceberg, Spark, Kafka, RabbitMQ, Parquet

Databases: PostgreSQL, vector databases, Redis, Solr, distributed SQL

Infrastructure: Docker, Kubernetes, NGINX, OpenTelemetry

Cloud: GCP, AWS (S3, Redshift), Snowflake, Databricks

AI & ML: RAG frameworks, embedding models, contextual chunking, semantic search, LLM integration

Agent Frameworks: MCP (Model Context Protocol), Agent-to-Agent (A2A)

You'll need to have:

6+ Software engineering experience in production environments

Proficiency in Python or a similar language

Familiarity with relational databases and SQL

Interest or experience in data engineering - pipelines, batch processing, or data lake technologies

Understanding of distributed systems and service architecture

Interest in AI/ML - particularly LLMs, RAG, or embedding-based search

We'd love to see:

Experience with Apache Iceberg, PyArrow, or data lake engineering

Familiarity with Apache Airflow or workflow orchestration

Experience with vector databases, embedding models, or semantic search

Background in anomaly detection or data quality frameworks

Exposure to MCP, A2A, or agent communication protocols

Experience with observability tooling - tracing, metrics, structured logging

Curiosity about financial data and reliability engineering

Why Join Us

Ship GenAI tooling used daily in production - MCP servers, RAG pipelines, and AI agents for real incident triage

Be a founding member of a greenfield engineering hub - shape the culture and standards from day one

Collaborate with engineers across Dublin, London, and New York

Work at scale - millions of securities, billions of data points, clients depending on it around the clock

Join a team that values curiosity, learning, and measurable impact

If this sounds like you:

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime, feel free to have a look at this:

Introducing our Pune Engineering teams

Bloomberg Engineering

Technology at Bloomberg

Learn more about our Pune office and benefits

Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

Accommodations

Bloomberg provides reasonable adjustment/accommodation to individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format or using specialized equipment. To request an adjustment/accommodation to apply for a job, please email AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for. We may share your information with a third party provider of accommodations services who may use this information to reach out to you for the purposes of accommodating your application.

Equal Opportunity