Virtusa
Lead Software Engineer

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Role Overview
You’ll be joining our Enterprise Systems Engineering team as a Senior Technical Lead for Enterprise Analytics Platforms, with end-to-end accountability for our SAS estate and input to the strategic direction of analytics tooling across the organisation.
Our platforms underpin critical regulatory, risk, finance, and decisioning workloads across the bank. We are evolving from traditional SAS Grid environments into a modern, multi-platform analytics landscape, integrating SAS with cloud-native services, data platforms, and emerging tooling.
Our vision is to build high-performing, product-aligned platform teams that own their services end-to-end — from infrastructure and integrations through to performance, resilience, and user experience. You’ll play a key role in shaping this transformation and influencing how analytics is delivered across the business.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities
- Provide technical leadership and strategic direction for our SAS platforms and supporting infrastructure
- Lead the modernisation and optimisation of enterprise analytics capabilities, aligning platform strategy with business priorities and regulatory requirements
- Manage a team of platform engineers and specialists, supporting their development and building deep expertise across SAS, data engineering, and platform operations
- Own key vendor relationships (e.g. SAS and supporting partners), influencing roadmap decisions and ensuring value is delivered from platform investment
- Work hands-on where needed across platform design, troubleshooting, automation, and integration, particularly around performance, batch scheduling, and resilience


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Requirements
- A degree level qualification in computer science or similar discipline
- Strong (10+ years) experience managing and operating enterprise analytics platforms (SAS, grid computing, or similar)
- Deep Technical Background Across
- Linux (RHEL or similar)
- Distributed/grid computing environments
- Batch processing and scheduling (e.g. LSF or equivalent)
- Data platforms and integration tooling
- Proven experience leading technical teams in complex enterprise environments
Bonus Skills
- Experience with SAS Viya migration, or alternative analytics platforms (e.g. SLC, Databricks, Python ecosystems)
- Exposure to cloud platforms (AWS/Azure) and hybrid architecture design
- Knowledge of financial services regulatory workloads
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