Description
Engineer and defend the digital backbone of one of the world's largest global banks with real hands-on impact and zero management overhead.
HSBC Technology builds and runs digital services that help millions of customers bank quickly, simply and securely - on one of the largest and most complex technology estates in the industry. Cybersecurity is investing in a step-change in engineering capability, and this role is central to making that real.
Cybersecurity Science & Analytics (CSA) is a team of cybersecurity scientists, data and analytics professionals and engineers. Our mission is to harness data, analytics, AI/ML and cybersecurity science to innovate and advance HSBC's cybersecurity capabilities.
We're looking for a Principal Engineer reporting directly to the Global Head of Cybersecurity Science & Analytics, to set engineering direction across CSA and help solve our most complex technical challenges at pace and at scale. You'll leverage a multi-petabyte data platform to reduce enterprise-wide security risk, automate real-time advanced detections and protect critical financial applications used by millions worldwide.
Core Responsibilities
- Software Engineering Leadership:
- Build custom security applications, APIs and data-driven services aligned to Cybersecurity mission outcomes
- Lead end-to-end SDLC: requirements (functional & non-functional), development, technical testing, release and production support
- Set and actively enforce engineering standards (code quality, reliability, secure-by-design) as a sustainable competitive advantage
- Mentor and upskill engineers; raise the bar for engineering excellence across teams
- Drive major procedural and technological change in a complex global organisation connecting the dots across domains
- Data Engineering at Scale:
- Ingest, curate, centralise and optimise massive datasets (100TBs/day) for high-value cyber use cases
- Build and optimise reusable data assets and pipelines for large-scale cybersecurity analytics
- Productionise and optimise pipelines with a focus on cloud cost optimisation and data asset curation
- Use Databricks / Spark and advanced analytics to deliver actionable insights
- Cloud-Native Analytics & AI/ML Enablement:
- Design, deliver and maintain cloud-native ML/analytics pipelines in Azure for real-time detection and response
- Design pipelines to automate deployment of production models and automations to counter emerging threats
- Prototype, validate and scale new analytic techniques - turning research into production capability
- Cybersecurity Science & Rapid Response:
- Conduct cybersecurity industry research and rapidly develop data-driven prototypes for live operational problems
- Support mitigation of advanced criminal and nation-state adversarial techniques
- Jump in on urgent vulnerabilities or emerging threats - making a difference when it matters most
- Work across cyber domains: network, endpoint, cloud security, cryptography, malware analysis, vulnerability assessment, PAM, anomaly/intrusion detection, incident response, offensive security
- Leverage key cyber data sources: EDR, firewall logs, proxy logs, vulnerability reports
- Cross-Organisational Influence:
- Partner with threat hunters, threat intelligence, vulnerability management and more to translate complex requirements into scalable solutions
- Lead architecture reviews, establish reusable patterns and drive consistency across business units
- Be part of a global community of Principal Engineers / Distinguished Engineers / Engineering Fellows, shaping standards and sharing best practice
What you'll bring
- Proven track record as a Senior Staff / Principal / Senior Principal hands-on engineer (individual contributor)
- Strong software engineering fundamentals and excellent coding ability (repositories and technical reviews)
- Experience building and maintaining scalable cloud-based applications (Azure preferred)
- Experience with big data technologies (e.g., Databricks, Spark)
- Ability to orchestrate and deliver complex change across teams and geographies
- Strong stakeholder management and the ability to explain complex engineering topics in an authoritative, actionable way
- Growth mindset, curiosity and a positive attitude to learning
- A strong STEM oriented background