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Key skills for this role
Content Acquisition – responsible for ingesting and coordinating content from diverse internal and external sources in real time.
Content Processing – responsible for transformation, validation, normalisation, metadata extraction, and operational workflows for unstructured content.
Content Storage – responsible for maintaining the canonical, versioned representation of all content with strong guarantees around consistency, correctness, scalability, transparency and reproducibility.
High-throughput event-driven large-scale distributed systems
Unstructured content processing
Scalable storage, retrieval, data consistency and reliability
Workflow orchestration
Platform observability and operational excellence
Build and operate large-scale distributed ingestion and processing systems that power multiple Bloomberg products, handling high volumes of unstructured content with strict reliability, availability, and latency requirements.
Design and develop core platform capabilities spanning content acquisition, workflow orchestration, metadata enrichment, storage, and analytics, forming foundational infrastructure for search, discovery, AI, and machine learning applications.
Develop latency-sensitive, high-throughput backend infrastructure responsible for acquiring, processing, and delivering content at scale while maintaining strong delivery guarantees and operational efficiency.
Solve complex distributed systems challenges involving scalability, resiliency, observability, data quality, consistency, deduplication, retry handling, malformed content processing, and operational recovery.
Build operational tooling and observability platforms to monitor ingestion health, processing latency, system reliability, alerting, debugging, and recovery workflows required to run large-scale production systems.
Collaborate with stakeholders and engineering teams globally across ingestion, storage, distribution, AI, and product engineering to deliver platform capabilities that impact a broad range of Bloomberg clients.
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London, GBR
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London, GBR
New York City, USA
New York City, USA
Influence engineering standards, architecture, and technical direction for a rapidly evolving greenfield platform, shaping system design, tooling, operational practices, and long-term platform strategy.
4+ years of professional software engineering experience using object-oriented programming languages such as C++, Java, or Python
A degree in Computer Science, Engineering, or equivalent practical experience
A strong understanding and experience building large scale distributed systems
Familiarity with messaging systems, caching, storage platforms, replication, partitioning, designing reliable APIs and fault-tolerant architectures
Strong problem-solving, and operational skills
Interest in building critical infrastructure with a focus on correctness, reliability, and maintainability
Experience with modern software development practices including testing, CI/CD (Continuous Integration / Continuous Deployment), and observability
Experience with AI-assisted development tools and engineering workflows
Experience with ingestion pipelines, workflow orchestration, or distributed content processing systems
Familiarity with stream processing and event-driven architectures
Experience with high-volume, highly available systems
Exposure to unstructured data platforms or content-centric systems
Familiarity with metadata management, indexing, or search systems
A self-starter who ramps up quickly and works well across teams
Exposure to cloud-native infrastructure and containerised deployment environments
Bloomberg is a global financial data, technology, and media company providing analytics and tools for financial professionals, including the Bloomberg Terminal.
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