Senior Software Engineer - Core Products Engineering, Pune

Job description

Senior Software Engineer - Core Products Engineering, Pune About Bloomberg Engineering in Pune Bloomberg’s Engineering office in Pune, established in 2014, is now a major global engineering center. As the office grows, we’re looking for Senior Software Engineers who want to build impactful systems and contribute to the evolution of Bloomberg’s Core Products and data platforms. Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We apply problem solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes. Our Team: The Company Financials (COFI) Engineering team builds the systems and workflows that power Bloomberg company financial data. We acquire financial documents from global markets, extract and enrich millions of data points, and combine heuristic and AI/ML-based solutions to classify and enhance company metrics. Our platforms support the Bloomberg Terminal, Enterprise products, and core Equity workflows, while intuitive applications enable Data Analysts to complement automation with human insight. Pune is a core engineering hub for COFI in APAC. The team works closely with global Engineering, Product, and Data partners and with Data Analysts across APAC to design scalable, regionally intelligent solutions for complex financial-data workflows. The Role: The Company Financials team is looking for a highly motivated and experienced Senior Software Engineer to join us in Pune. You will design and build high-performance, scalable, and resilient systems that support Bloomberg's next-generation financial data platforms. You will own complex engineering problems end to end - from understanding requirements and shaping technical design through implementation, production readiness, and ongoing operational excellence. As a senior member of the team, you will also influence architecture, mentor engineers, and help raise engineering standards across the group. We'll trust you to: Design, build, and operate scalable, reliable, and maintainable software platforms that acquire, process, enrich, and distribute company financial data Take end-to-end ownership of technical design and delivery, translating Product and Data requirements into robust engineering solutions Design distributed systems and microservices with appropriate consideration for availability, fault tolerance, performance, data consistency, and operational resilience Build services, APIs, data-processing pipelines, and event-driven workflows that can handle large volumes of financial data Prototype and evaluate technical approaches, clearly articulating trade-offs before committing to large-scale implementations Improve existing and legacy systems through thoughtful modernization, simplification, automation, and performance optimization Write high-quality, well-tested production code and contribute to code reviews, engineering standards, observability, and production support practices Partner closely with Product, Data, and Engineering teams in Pune, New York, Princeton, and other locations to deliver solutions with global impact Mentor engineers, lead technical discussions and design reviews, and drive technical excellence through example and influence You'll need to have: 7+ years of strong hands-on software engineering experience building and supporting production systems Strong programming skills in Python and/or JavaScript/TypeScript, with solid knowledge of data structures, algorithms, object-oriented design, and software engineering principles Experience designing distributed, scalable, and fault-tolerant systems, including microservice and asynchronous/event-driven architectures Experience designing and consuming APIs and building backend services, data-processing pipelines, or workflow platforms Strong knowledge of relational databases and SQL, with experience in data modeling, schema design, and high-volume data access patterns Experience with one or more NoSQL databases, distributed caches, or messaging/queuing technologies such as Redis or RabbitMQ Experience with automated testing, code reviews, source control, CI/CD, production monitoring, logging, metrics, and debugging complex systems Strong analytical and problem-solving skills, including the ability to diagnose performance, reliability, and production issues Ability to take ownership of ambiguous technical problems, make sound architectural decisions, and communicate trade-offs clearly Excellent communication and collaboration skills, with the ability to work effectively across globally distributed Engineering, Product, and Data teams We'd love to see: Experience building extensible full-stack applications using JavaScript/TypeScript and modern frameworks such as React, Redux, Vue, HTML, and CSS Experience with Linux, containerized development or deployment environments, and modern software delivery practices Experience with large-scale data-intensive platforms, ETL/data-processing pipelines, distributed object stores, or financial/market data systems Experience modernizing legacy platforms or migrating services to newer architectures and technology stacks Familiarity with AI/ML-assisted data-processing workflows, data quality frameworks, or automation used to classify and enrich structured financial data Knowledge of financial services, company financial statements, market data, or Bloomberg products; domain expertise is helpful but not required If this sounds like you: Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime, feel free to have a look at this: Introducing our Pune Engineering teams Bloomberg Engineering Technology at Bloomberg Learn more about our Pune office and benefits Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.