Senior Software Engineer - Market Data

Accountabilities: In this role, you will design, develop, and maintain the core systems that support market data products, ensuring reliability, scalability, and exceptional performance. You will contribute to architectural decisions, solve complex technical challenges, and collaborate across engineering teams to deliver robust solutions.

Influence the overall architecture and evolution of market data systems, including streaming and historical data services.

Design and implement highly scalable, mission-critical backend systems with a focus on performance and reliability.

Build and maintain backend services, APIs, and infrastructure components that support financial data products.

Optimize systems for low latency and high throughput, focusing on performance improvements at every level.

Ensure strong software quality through testing, code reviews, documentation, and engineering best practices.

Troubleshoot production incidents, investigate bugs, and contribute to continuous system improvements.

Participate in on-call rotations when required to support critical engineering initiatives.

Collaborate with cross-functional teams to deliver scalable solutions aligned with business and customer needs.

Requirements:

The ideal candidate is an experienced software engineer with strong backend development skills, a deep understanding of distributed systems, and a passion for building reliable technology at scale. You should be comfortable working on complex infrastructure challenges and have experience leading technical initiatives.

4+ years of experience building and operating large-scale software systems.

Strong experience with compiled programming languages such as Go, C, C++, Rust, or similar technologies.

Experience with SQL and relational databases.

Solid understanding of networking concepts, including TCP/IP and UDP.

Proficiency with Linux/BSD environments and shell scripting.

Experience designing and leading medium-scale technical projects involving multiple teams.

Hands-on experience with Kubernetes or other workload orchestration platforms.

Experience working with major cloud platforms, especially Google Cloud environments.

Strong understanding of software architecture, scalability, and distributed systems.

Passion for financial markets and interest in building technology for the financial industry.

Ability to collaborate effectively in a remote, global engineering environment.

Nice-to-have qualifications include:

Experience working with market data platforms or financial technology systems.

Knowledge of microservice architectures and clean code principles.

Experience with DevOps practices, CI/CD pipelines, and infrastructure automation.

Familiarity with cloud networking concepts such as BGP and VPC peering.

Experience building low-latency applications and distributed key-value storage systems.

Knowledge of observability, tracing, continuous profiling, and performance monitoring.

Experience with capacity planning, benchmarking, and Agile/Scrum methodologies.

Benefits:

Competitive salary package and stock options.

Health benefits.

Remote work flexibility within the EMEA region.

Home office setup support with a one-time allowance.

Monthly stipend to support remote work expenses.

Opportunity to work on impactful financial technology products.

Collaboration with a globally distributed team of experienced engineers.

Professional growth opportunities in a fast-growing technology environment.

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!  Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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