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Join LSEG as a Senior Database Engineer to manage and modernize large-scale database environments. Partner with development, QA, cloud, and infrastructure teams to deliver reliable, scalable, and secure database solutions. Responsibilities include change management, automation, performance tuning, replication and HA support, cloud migrations, operational incident response, disaster recovery testing, and building tooling to improve efficiency.

Monitor, triage and respond to cyber security incidents using SIEM tools; develop run books, detection use cases and dashboards; research threat intelligence; remediate events and improve GSOC defensive capabilities operating on a follow-the-sun shift rotation.

Lead and grow a data science team to design, develop, evaluate, and deploy production-grade AI/ML solutions (LLMs, Generative AI, RAG, transformers). Own technical vision, MLOps/LLMOps, model governance, and cross-functional execution with Product and Engineering to deliver scalable business impact in financial markets.

Provide Turkish- and English-language phone, chat, and email support for LSEG products (Eikon, Workspace). Triage, log, and resolve customer enquiries, escalate or hand over issues to relevant teams, update customers on status, and identify recurring problems while supporting product and data issue resolution.

Lead design and implement high-performance, low-latency C++ networked software on Linux. Develop build/test pipelines, perform code reviews, troubleshoot field issues, collaborate with QA and cross-functional teams, and mentor junior engineers while supporting partial US hours.

Administer, configure, and optimize Atlassian tooling (Jira, JSM, Confluence); design complex workflows and automations; integrate tools via REST APIs and scripting; provide L3 support, documentation, and reporting; coordinate solutions with Enterprise Architecture and Product Owners and support enterprise governance and roadmap planning.

The Workforce Strategy Specialist focuses on data-driven insights to optimize staffing levels, engagement with operations, and develop capacity plans and forecasts.

The Enterprise Architect will lead architectural governance, drive AI adoption, shape technology strategy, and mentor teams to transform the technology landscape in the financial services sector.

Define and drive the vision, roadmap and delivery of LSEG's AI Core Platform. Own enterprise AI platform capabilities (AI Gateway, MCP SDK, IAM, orchestration, scale, shared services), establish standards and APIs, partner with Engineering and Security to deliver secure, scalable platform services, drive developer adoption, monitor performance and metrics, and engage cloud and technology partners to support enterprise AI at scale.

Design, build, and maintain scalable backend services in C#/.NET on AWS. Develop RESTful APIs, integrate messaging and managed databases, improve observability, contribute to CI/CD pipelines, and ensure secure, reliable deployments while collaborating in Agile teams.