Tech Stack
Programming Languages: Modern C++, Python
Frameworks: Project Reactor, Apache Kafka, Apache Arrow
Caching: Redis
Databases: Elastic Search, PostgreSQL, DuckDB, Cassandra, Comdb2, Parquet, Solr
Containerization: Docker, Kubernetes
CI/CD: Jenkins, SonarQube
Infrastructure: Linux, Microservices, Async frameworks
We'll trust you to
Shape the architecture of next-generation systems and design scalable, resilient microservices and APIs from the ground up.
Solve distributed systems challenges at multi-billion-request-per-day scale, optimizing latency, throughput, and resource efficiency.
Collaborate with dozens of Engineering teams—including data providers and client applications—to redefine how data flows across Bloomberg.
Build tooling, frameworks, and AI-driven automation that improve developer productivity and simplify operating large-scale distributed systems.
Deliver reliable, observable, production-quality software through rigorous testing and operational excellence.
Take ownership of projects end-to-end, define success, and drive execution.
Champion engineering best practices and mentor fellow engineers.
You'll need to have
4+ years of software engineering experience, ideally in Modern C++ or Python
Strong system design and distributed systems fundamentals.
Deep understanding of object-oriented design, data structures, and algorithms.
Experience building production-grade data infrastructure or distributed services.
Excellent collaboration and communication skills.
A degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience.
We'd love to see
Experience with frameworks such as Apache Arrow, Project Reactor, or Apache Kafka.
Hands-on experience building reactive, asynchronous, or event-driven applications in a service-oriented architecture.
Experience profiling, benchmarking, and optimizing system performance, including compute/memory trade-offs and low-latency design.
Knowledge of Linux systems programming or performance engineering.
Experience with databases (Elasticsearch, PostgreSQL) and caching systems (Redis).
Experience with cloud-native technologies such as Docker and Kubernetes.
Hands-on experience applying AI/ML techniques to engineering challenges and an interest in incorporating emerging technologies into production systems.
Salary Range = 160,000 - 240,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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