Lead Software Engineer
LSEG is hiring a Lead Software Engineer in London, United Kingdom. Level rates it ; you can apply on LSEG.
Level's read on this job
- On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Databricks, Python and Java.
- Level classifies it as a lead role.
- Level lists 671 other open roles at LSEG.
- The role was posted within the past week.
AI in this role
Lead Software Engineer to own technical direction and build next-generation index data platforms primarily in Python.
ROLE SUMMARY
Are you a hands-on engineer who raises the bar for everyone around you?
Join us at FTSE Russell in London. We’re establishing a team of engineers passionate about software craftsmanship, quality, and meaningful impact. As a Lead Software Engineer, you’ll own the technical direction of software that powers the indices trusted by financial institutions worldwide.
We build primarily in Python, so that’s our preference — but depth of engineering judgement matters more to us than the language on your CV. If you’ve led the design and delivery of serious production systems in Java, C#, C, C++, Scala, Go, or Rust and you’re motivated to lead in Python, we’d like to talk. At this level, we expect you to become fluent quickly and bring that cross-language engineering perspective with you.
This is a hands-on Lead Individual Contributor role — not a people management role. You’ll still be designing, writing, and reviewing code every week. What changes at this level is scope: you’ll own architecture and technical direction in a defined area, mentor and grow the engineers around you, and raise engineering quality across the team through good design, reuse, strong standards, and hands-on support.
The systems we build handle significant volumes of financial data and support products used across global financial markets. There is real depth in the data and distributed systems challenges — but you’re being hired first and foremost as a software engineer who leads through technical judgement and code.
If you’re excited about building systems that matter, solving difficult engineering problems, and making the engineers around you better, we’d love to meet you.
WHAT YOU’LL BE DOING
We’re building the next-generation index data platform at FTSE Russell — and we want you to shape it with us:
- Staying hands-on — designing, writing, reviewing, and shipping production software, primarily in Python, and setting the standard for what good engineering looks like through the code you deliver
- Owning technical direction and architecture for a defined area of the platform, making trade-offs explicit so the team can move quickly and confidently
- Leading the design of software systems — services, APIs, shared libraries, and the interfaces between them — with resilience, performance, maintainability, and reusability designed in
- Driving engineering quality across the team: raising the bar in code review, reducing duplication through well-designed shared components, and championing testing, refactoring, automation, and secure development practices
- Mentoring and coaching engineers through pairing, code reviews, design guidance, and hands-on technical support, helping good engineering practices spread across the team
- Digging into technical design and risk trade-offs — including failure modes, operational readiness, security, performance, and cost — and resolving blockers that slow the team down
- Designing data-intensive software across relational databases such as Aurora PostgreSQL, object storage, and AWS services, with careful attention to data modelling, performance, and schema evolution at scale
- Building software that processes data at scale on AWS using technologies such as Lambda, containerised services, and, where appropriate, Glue, EMR Serverless, and lakehouse table formats such as Apache Iceberg
- Embedding observability, automated testing, monitoring, and quality controls so that issues are identified before they affect customers
- Taking ownership of production outcomes and helping the team build software that is reliable, supportable, and straightforward to operate
- Influencing and collaborating across engineering teams and translating effectively between technical and non-technical audiences
- Building deep knowledge of the financial indices domain and using that understanding to guide technical and architectural decisions
WHAT YOU’LL BRING
Essential — this is the bar:
- Python is our preference, but not a hard gate at this level. Either you already lead the development of production systems in Python, or you have equivalent depth in Java, C#, C, C++, Scala, Go, or Rust and are motivated to make Python your primary language here. Engineers who have worked across multiple languages often bring valuable design perspective, and we value that
- Depth in software design and architecture — you can decompose complex problems, define appropriate boundaries and interfaces, evaluate alternatives, and clearly explain the reasoning behind your decisions
- Strong ownership of technical and production outcomes — you take responsibility for how systems behave in production, not simply for what gets merged
- Strong experience with relational databases such as PostgreSQL or Aurora PostgreSQL, including data modelling, query performance, scalability, and schema evolution under real production workloads
- Solid AWS experience and strong CI/CD, automation, testing, and software delivery practices
- Experience with data-intensive systems, including areas such as batch processing, ETL, schema evolution, data quality, and reasoning about correctness at significant scale
- Excellent communication skills — you adapt how you explain technical decisions to different audiences and create shared understanding across engineering, product, and business stakeholders
- A collaborative approach to engineering. You value strong teams and shared ownership over individual heroics and thrive in an Agile environment
NICE TO HAVES
Beneficial, but not what we’re screening on:
- Apache Spark / PySpark and experience optimising large-scale distributed processing
- Big data experience — designing and operating systems for datasets and workloads well beyond single-machine scale
- Apache Iceberg, Delta Lake, or similar open table formats and experience with lakehouse architectures, Databricks, Snowflake, or comparable data platforms
- CI/CD tooling such as GitLab CI, Jenkins, or GitHub Actions
- Infrastructure as code using technologies such as Terraform or AWS CDK, together with broader platform or DevOps exposures
- Experience in financial markets, index data, investment analytics, or other data-intensive financial products
Join us and be part of a team that values innovation, engineering quality, collaboration, and continuous improvement. If you’re ready to take ownership of significant technical challenges and make a meaningful impact on software used across global financial markets, we’d love to hear from you.
Career Stage:
ManagerLondon Stock Exchange Group (LSEG) Information:
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
How we rate this
Lead Software Engineer at LSEG rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- What's a project where you used Databricks hands-on?
- Walk me through how you've used Python in your day-to-day work.
- What are the limits of Java that you've run into, and how did you work around them?
- What's a project where you used C hands-on?
- Walk me through how you've used Go in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Databricks, Python, Java, C, and Go. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. You get your review by email within 24 hours.
Get new software engineer jobs by email
One email a week with the new software engineer jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Software Engineering roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step