Senior Software Engineer - Corporate Actions & Security Master

This position is listed on behalf of a partner company, which manages all applications and next steps.

Our partner is looking for a Senior Software Engineer - Corporate Actions & Security Master based in United Kingdom.

As a Senior Software Engineer, you will play a key role in building and scaling the foundational data infrastructure behind a global brokerage platform.

You will work across two critical domains: Security Master, which manages essential information about tradable financial assets, and Corporate Actions, which processes events such as dividends, stock splits, and mergers.

Your work will directly support the expansion of financial products, asset classes, and international markets while ensuring data accuracy and operational reliability.

You will design and maintain distributed backend systems, APIs, and data models that power interconnected services across the organisation.

Working in a globally distributed engineering environment, you will collaborate with technical and business teams to solve complex challenges and drive architectural improvements.

This is a hands-on senior engineering opportunity offering significant technical ownership, exposure to financial markets, and the chance to influence critical infrastructure at scale.

• Accountabilities
• Design, develop, and maintain distributed backend services, APIs, and data models supporting Security Master and Corporate Actions platforms.
• Build and improve the central reference data infrastructure that provides accurate information about tradable financial instruments, their characteristics, and trading eligibility.
• Develop reliable corporate action processing systems to ingest third-party data relating to dividends, stock splits, mergers, and other financial events, ensuring accurate calculations and updates to customer and partner holdings.
• Extend existing reference data systems to support new financial instruments, asset classes, and market-specific requirements, including futures and prediction markets.
• Build robust workflows for ingesting, validating, transforming, and processing external instrument and corporate action information.
• Develop internal tools, automation, and operational workflows that reduce manual intervention and improve data quality, efficiency, and system reliability.
• Contribute to the redesign and evolution of foundational asset data structures, helping define architectural standards and solutions with organisation-wide impact.
• Take ownership of complex technical projects from initial requirements gathering and solution design through implementation, testing, deployment, and ongoing production support.
• Identify and resolve performance, reliability, and scalability challenges across distributed services and interconnected systems.
• Collaborate closely with engineering teams and business stakeholders that depend on reference data, ensuring smooth integration and coordination across services.
• Make sound architectural and technical decisions, balancing immediate delivery needs with long-term maintainability and system performance.
• Contribute to continuous improvement initiatives, including system observability, data consistency, and operational efficiency.

Requirements

• Strong professional experience designing, building, and operating event-driven, distributed backend systems.
• Excellent database and data-modelling skills, with a solid understanding of data replication, eventual consistency, and the challenges of maintaining data integrity across interconnected services.
• Strong system design fundamentals, including experience designing, developing, and evolving APIs and scalable backend architectures.
• Proficiency in at least one strongly typed programming language, with the flexibility and willingness to work with Go.
• Proven ability to take complex or ambiguous technical challenges from initial requirements through design, implementation, delivery, and production operations.
• Strong problem-solving and analytical skills, with the ability to identify dependencies, evaluate technical trade-offs, and develop robust solutions.
• Excellent communication and collaboration skills, with the ability to explain technical decisions clearly and work effectively across multiple engineering and business teams.
• Demonstrated senior-level engineering judgment, autonomy, accountability, and ownership of technical outcomes.

Assessment will focus on demonstrated capabilities and impact rather than a strict minimum number of years of experience.

• Additional Experience That Would Be An Advantage
• Previous experience in trading, brokerage, capital markets, cryptocurrency infrastructure, or related financial technology environments.
• Familiarity with reference data management, Security Master systems, financial instrument and asset data, or corporate action processing.
• Understanding of financial instruments and capital markets, particularly options, futures, and other derivatives.
• Experience integrating and processing third-party financial data and building reliable data ingestion pipelines.
• Previous involvement in developing internal engineering tools, workflow automation, and operational efficiency solutions.
• Experience mentoring or supporting other engineers and coordinating technical initiatives across interconnected services and teams.

Benefits

• Competitive salary package.
• Stock options, offering the opportunity to participate in the company's growth.
• Health benefits.
• One-time USD 500 allowance to support your home-office setup when joining.
• Monthly USD 150 stipend provided through a Brex Card.
• Opportunity to work remotely within a globally distributed and international team.
• Exposure to complex financial technology challenges and large-scale brokerage infrastructure.
• Significant technical ownership and opportunities to influence architectural decisions.
• Collaborative engineering environment that encourages curiosity, accountability, continuous learning, and innovation.
• How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.

Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analysing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.

These tools assist our recruitment team but do not replace human judgement.

Final hiring decisions are ultimately made by humans.

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