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Salary
≈ $66k – $105k per year (Estimated)
Location
In office (London)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Sep 16, 2026. HKEX scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Hong Kong Exchanges and Clearing (HKEX) is the listed operator of Hong Kong's only securities and derivatives exchange and its clearing houses, headquartered at Exchange Square in Central, Hong Kong, running equity, commodity, fixed income and currency markets. Formed in 2000, the group is one of the world's largest IPO venues, owns the London Metal Exchange, runs the Stock Connect and Bond Connect links with mainland China and operates the Qianhai Mercantile Exchange in Shenzhen, with offices in London, New York and Singapore. It hires IPO vetting and listing specialists, clearing risk staff, depository and derivatives operations officers, and network, Linux and software engineers.
Senior Engineer - LMEsmart

Shift Pattern:

Standard 40 Hour Week (United Kingdom)

Scheduled Weekly Hours:

40

Corporate Grade:

D - Assistant Vice President

Reporting Line:

(UK Division) Information Technology

Location:

UK-London

Worker Type:

Permanent

Overall Purpose of Role:

LMEsmart is the LME’s Inter-Office Trading platform, responsible for trade registration, lifecycle management, and trade matching. The primary focus of the role is to engineer resilient Inter-Office integrations and workflows that automate recovery, streamline price-band governance, and surface real-time matching performance-reducing manual effort, improving compliance, and strengthening Inter-Office market oversight.

Develop the automation of test tooling and framework development for the Inter-Office Trading platform-onboarding vendor tools, analysing requirements, developing, deploying and documenting solutions. Execute and evolve the automated test suite with actionable MI/reporting; refining a robust automation foundation that improves efficiency and delivery; communicate key insights to IT and Business stakeholders; and manage the relevant test environments so application codebases and underlying infrastructure are well understood and documented.

Academic and Professional Qualifications Required:

Preferred - Bachelors or Master’s Degree (Computer Science or Related Degree, Maths or Physics also considered)

Required Knowledge and Level of Experience:

  • Degree in Computer Science, IT or related disciplines.

  • 5+ years’ experience in software development with Java (JVM), including performance optimisation and profiling.

  • Deep understanding of cloud infrastructures, usage patterns, across at least one major cloud vendor.

  • Knowledge of off-heap data structures, including memory-mapped file-based data structures.

  • Knowledge and experience of JVM based optimisation.

  • Experience with distributed systems, data streaming (e.g., Kafka) and big-data processing paradigms.

  • Working in any of: Scrum, Agile, XP, Kanban or Lean Software Development environment.

  • Software and application design and algorithm design and implementation.

  • Version control with Git; understanding of DevOps principles and secure software development (DevSecOps).

  • Working knowledge of data streaming standards and use-cases; exposure to highly-available services.

  • Security aspects of software development

Bonus for knowledge of:

  • UI development using React.js.

  • Scripting languages, preferably Python.

  • NoSQL or distributed databases (e.g., Redis, Couchbase)

  • Automation/configuration management (e.g., Ansible, Puppet, Chef)

  • Containerisation and orchestration (Docker, Kubernetes).

  • Public cloud (e.g., AWS) and IaC (e.g., CloudFormation)

Skills set and Core Competencies Required for Role:

  • Highly proficient in Java; able to build high-throughput, low-latency services.

  • Understanding of containers and Kubernetes; ability to implement complex network topologies in cloud like environments.

  • Ability to scale applications to handle high-frequency market data.

  • Must be able to communicate clearly and constructively with wide range of audiences in writing or in speech

  • Be able to make decisions and have action-oriented attitude.

  • Establishes and maintains constructive and collaborative relationships with all business areas.

  • Proactive planning, pragmatic judgement and attention to detail.

The LME is committed to creating a diverse environment and is proud to be an equal opportunity employer. In recruiting for our teams, we welcome the unique contributions that you can bring in terms of education, ethnicity, race, sex, gender identity, expression & reassignment, nation of origin, age, languages spoken, colour, religion, disability, sexual orientation and beliefs. In doing so, we want every LME employee to feel our commitment to showing respect for all and encouraging open collaboration and communication.

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