Lead Software Engineer, Real Time Index Engineering(Java)

lseg; Bengaluru; Hybrid; INR 3,500,000 - 7,000,000; Full time

Job summary

FTSE Russell is seeking a Senior Software Engineer to join the Real Time Framework team. You will build a low-latency, cloud-native platform for calculating, managing and distributing real-time indices at global scale across Equity, Fixed Income and Multi-Asset coverage.

The role emphasizes reliability, security and data quality, with hands‑on delivery and architectural leadership. This is an individual contributor role focusing on AI-first engineering, system design, and robust observability,

Qualifications

• 9+ years of professional software engineering experience.
• Strong expertise in system design, distributed and event-driven systems.
• Proficiency with cloud-native applications on AWS.

Responsibilities

• Build low-latency, event-driven calculation engines pricing indices from market events.
• Operate a cloud-native, horizontally scalable platform with IaC and CI/CD.
• Own data foundations for real-time market data with strong modelling and auditability.
• Deliver secure APIs and streaming distribution for real-time index data.
• Contribute to multi-asset methodologies and AI tooling integration.
• Modernise the operations with observable tooling and automation.
• Lead architecture reviews and drive test strategies across teams.

Skills

Java

C#

Python

SQL

OpenAPI

AWS

Distributed systems

Low latency

Tools

Terraform

GitLab

AWS CLI

Kubernetes

Job description

FTSE Russell is a leading global provider of financial services, specialising in the creation and management of indexes, data, and analytic solutions. As part of the London Stock Exchange Group (LSEG), we support investors worldwide in making informed decisions across asset classes, investment strategies, and market segments. Our products are trusted by institutional and retail investors, asset managers, and pension funds to benchmark performance, build investment portfolios, and manage risk.

Job Summary

We're seeking a Senior Software Engineer to join the team building the Real Time Framework (RTF), our low-latency, cloud-native platform for calculating, managing and distributing FTSE Russell's real-time indices at global scale, spanning Equity, Fixed Income and Multi-Asset coverage. Reliability, security, and data quality are non-negotiable as we modernise the platform that underpins our entire real-time franchise. The ideal candidate is a self-sufficient, technically excellent engineer who can lead through architectural clarity, thorough code review, and hands‑on delivery. You combine strong expertise in low-latency, event-driven system design, data modelling, and debugging with genuine passion for how AI tooling is redefining software engineering. This is an individual contributor role where you will lead through the quality of your thinking and your engineering standards.

AI-First Engineering

This team operates with an AI-first approach. We expect hands‑on experience with AI development tooling: terminal-based agents, AI‑augmented IDEs, and automated workflows. You are ultimately accountable for production quality, security, and correctness. This means owning infrastructure review, security validation, system observability, and operational guardrails.

What You'll Do

• Build low-latency, event-driven calculation engines that price indices accurately through market events.
• Operate a cloud-native, horizontally scalable, always-on platform, built as resilient and managed through infrastructure as code.
• Own data foundations for real-time market and reference data, with strong modelling, quality and auditability.
• Deliver secure APIs and streaming, event-driven distribution that make real-time index data easy to consume.
• Help bring advanced and multi-asset methodologies to market (e.g. volatility‑controlled, options/futures-based, long‑short).
• Modernise the operations experience: replace manual workflows with intuitive tooling and observability.
• Lead through architecture, code review and test strategy, partnering across product, operations and client‑facing teams.

Tech Stack

• Development: Java, C#,, Python, SQL, OpenAPI
• Cloud: AWS (Lambda, API Gateway, S3, SQS, SNS, Aurora, and others as required)
• Databases: Sybase ASE, Sybase IQ, Aurora Postgres
• IaC and CI/CD: Terraform, AWS CLI, GitLab
• AI Development: Agentic AI tooling (e.g. GitHub Copilot, Claude Code)

Experience We Value

• 9+ years of professional software engineering experience.
• Strong expertise in system design, distributed and event-driven systems, and relational data modelling.
• Solid experience building and operating cloud-native applications on AWS.
• Ability to write and maintain infrastructure as code (Terraform or equivalent).
• Experience designing test strategies at multiple levels of the testing pyramid.
• Proficiency with AI development tooling and a clear understanding of how to use AI to accelerate delivery while maintaining quality.
• Strong debugging skills across distributed systems.
• Basic understanding of financial services or capital markets.
• Effective collaboration and the ability to communicate technical decisions to non-technical audiences.

How We Work

The Real Time team builds and operates the platform that calculates, manages and distributes FTSE Russell's real-time indices to the global financial ecosystem. We foster a culture of engineering excellence, solving real-world problems with purpose and ambition. We're looking for skilled and passionate engineers to drive the future of modern solutions working with leading AI development tools.

• Build with purpose. Startwith why. Define the problem before reaching for a solution.
• Customer driven. Work backwards from client needs and build products to address real-world problems.
• Technically courageous. Go beyond your comfort zone and push boundaries to deliver excellence.
• Learn and be curious. Continuously seek feedback, learn in formal and informal settings, actively share knowledge.
• Act as owners. Operate as though it is your business. Make thoughtful trade‑offs and deliver long‑term value.
• Lead with data. Validate assumptions, stay close to the details, act decisively.
• Build responsibly, deliver incrementally. Look for the small opportunities and milestones to build ambitious solutions.
• AI-native by default. Use AI tooling as a force multiplier, frame problems clearly, validate continually, and own the output.

Location: Bengaluru (Hybrid, 3 days/week in office)

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