Senior Software Engineer - Data License Analytics, Pune Pune, IND Posted today

Bloomberg L.P.; Pune District; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Bloomberg L.P. is seeking a Senior Software Engineer for Data License Analytics in Pune. The role blends data infrastructure, reliability engineering, and applied AI to build scalable systems powering Bloomberg's enterprise data delivery platform.

You will own GenAI tooling, ingestion pipelines, and semantic search, collaborating with teams across Dublin, London, and New York to shape the greenfield Pune hub from day one.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

TypeScript

SQL

Distributed systems

Reliability engineering

Tools

Docker

Kubernetes

Apache Airflow

Apache Iceberg

Spark

Kafka

Job description

Senior Software Engineer - Data License Analytics, Pune

Location

Pune

Business Area

Engineering and CTO

Ref #

10053865

Description & Requirements

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

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [e-mail]