# Software Engineering Team Leader-Data License Analytics at Bloomberg

Bloomberg is hiring a Software Engineering Team Leader-Data License Analytics in Pune, India. Level rates it Works on AI ●●●○; you can [apply on Level](https://jobsbylevel.com/go/28634010-5e2b-46fd-9083-298c1957c28c?utm_medium=ai-agent).

AI Level 3, AI centrality 75 out of 100. Pune, India.

## Details

- Company: [Bloomberg](https://jobsbylevel.com/companies/bloomberg)
- AI level: AI Level 3 (score 75 out of 100)
- Location: Pune, India
- Posted: October 15, 2026
- Apply: https://jobsbylevel.com/go/28634010-5e2b-46fd-9083-298c1957c28c?utm_medium=ai-agent

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/software-engineering-team-leader-data-license-analytics-at-bloomberg-ebb287

## Description

Bloomberg delivers billions of data points to hundreds of thousands of customers daily. When markets move, our customers need their data immediately and without fail. That's not a nice-to-have. It's the whole product. The Data License Reliability & Analytics group exists to make sure that promise holds — and to make sure we keep it efficiently. Our new Pune-based DL Optimization & Automation team will build the AI tooling and the context layer that lets engineers, SREs, and AI agents across Data License reason about our systems the way our most experienced people do: which pipelines feed which products, where capacity is wasted, which risks are real, and what to fix first. In this role, you'll build and lead a team that puts AI to work on one of the most demanding data platforms in financial services. Your team will create intelligent systems that make Data License leaner, safer, and easier to run: Smarter use of infrastructure — finding where compute, storage, and other system resources are over-provisioned or idle, and turning that insight into action. Sharper data products — analyzing how the datasets in our Data License packages are built, delivered, and used, so we can keep improving what we offer clients. Security, risk, and compliance on autopilot — automating the evidence-gathering, tracking, and reporting that keep us ahead of evolving regulatory and security requirements. Maintenance that runs itself — finding the routine upkeep that consumes engineering time and handing it to machines. Underpinning all of this is an AI context layer you'll help design: a living, machine-readable understanding of our systems, data, and dependencies that lets engineers and AI agents answer hard questions in minutes instead of weeks. You will lead a team of four engineers, setting its technical direction and driving projects from idea to delivery. You'll work closely with engineering teams across Data License and Bloomberg infrastructure — as well as our reliability teams in New York and Dublin — turning their hardest operational questions into tools they rely on every day. What you'd actually be working on Building and leading the team. Build and grow a team of four engineers. Set a high bar for engineering quality and analytical rigor, run the team's planning and delivery, and create an environment where people ship useful things quickly and learn fast. You'll stay hands-on — this is a lead who writes code and reviews designs, not just one who runs meetings. The AI context layer. Design and evolve the knowledge foundation our AI tools stand on: architecture knowledge bases, semantic models and ontologies of our data and services, and knowledge graphs that connect code, configuration, telemetry, and incident history. You'll own retrieval quality across RAG and GraphRAG pipelines, decide how knowledge is structured, verified, and kept fresh, and make sure an agent's answer can always be traced back to a source. AI-driven optimization of systems, processes, and architecture. Turn one-off investigations into repeatable tooling. Build analytics that find underused machines and tenancies, unneeded storage and datasets, and architectural bottlenecks — and quantify the impact of acting on them. If we answered a question once by hand, you'll be figuring out how to answer it on demand. Agents and MCP tooling. Build MCP servers and AI agents that expose Data License systems and knowledge to engineers and to other agents, and use agent-to-agent (A2A) patterns to compose them into multi-step workflows. Work on context retrieval, prompt and tool design, evaluation frameworks, and the feedback loops that make these systems more accurate over time. Risk and compliance analytics. Own the automated analytics behind regulatory and risk programs such as emerging cyber-resilience regulation and enterprise risk management: scanning codebases and inventories, tracking remediation, and producing evidence that holds up to scrutiny from auditors and

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/software-engineering-team-leader-data-license-analytics-at-bloomberg-ebb287

Source: https://jobsbylevel.com/jobs/software-engineering-team-leader-data-license-analytics-at-bloomberg-ebb287

## Cite this page

Level. https://jobsbylevel.com/jobs/software-engineering-team-leader-data-license-analytics-at-bloomberg-ebb287.

Get job alerts: https://jobsbylevel.com/newsletter