Lead, Software Engineering

Job Description

Grade Level (for internal use): 11 The Team: Our team is responsible for the design, architecture, and development of our client facing applications using a variety of tools that are regularly updated as new technologies emerge. You will have the opportunity every day to work with people from a wide variety of backgrounds and will be able to develop a close team dynamic with coworkers from around the globe. The Impact: The work you do will be used every single day, its the essential code youll write that provides the data and analytics required for crucial, daily decisions in the capital and commodities markets. Whats in it for you: Build a career with a global company. Work on code that fuels the global financial markets. Grow and improve your skills by working on enterprise level products and new technologies. Responsibilities: Solve problems, analyze and isolate issues. Provide technical guidance and mentoring to the team and help them adopt change as new processes are introduced. Champion best practices and serve as a subject matter authority. Develop solutions to develop/support key business needs. Engineer components and common services based on standard development models, languages and tools Produce system design documents and lead technical walkthroughs Produce high quality code Collaborate effectively with technical and non-technical partners As a team-member should continuously improve the architecture Basic Qualifications: 10-12 years of experience designing/building data-intensive solutions using distributed computing. Proven experience in implementing and maintaining enterprise search solutions in large-scale environments. Experience working with business stakeholders and users, providing research direction and solution design and writing robust maintainable architectures and APIs. Experience developing and deploying Search solutions in a public cloud such as AWS. Proficient programming skills at a high-level languages -Java, Scala, Python Solid knowledge of at least one machine learning research frameworks Familiarity with containerization, scripting, cloud platforms, and CI/CD. 5+ years experience with Python, Java, Kubernetes, and data and workflow orchestration tools 4+ years experience with Elasticsearch, SQL, NoSQL,Apache spark, Flink, Databricks and Mlflow. Prior experience with operationalizing data-driven pipelines for large scale batch and stream processing analytics solutions Good to have experience with contributing to GitHub and open source initiatives or in research projects and/or participation in Kaggle competitions Ability to quickly, efficiently, and effectively define and prototype solutions with continual iteration within aggressive product deadlines. Demonstrate strong communication and documentation skills for both technical and non-technical audiences. Preferred Qualifications: Search Technologies: Query and Indexing content for Apache Solr, Elastic Search, etc. Proficiency in search query languages (e.g., Lucene Query Syntax) and experience with data indexing and retrieval. Experience with machine learning models and NLP techniques for search relevance and ranking. Familiarity with vector search techniques and embedding models (e.g., BERT, Word2Vec). Experience with relevance tuning using A/B testing frameworks. Big Data Technologies: Apache Spark, Spark SQL, Hadoop, Hive, Airflow Data Science Search Technologies: Personalization and Recommendation models, Learn to Rank (LTR) Preferred Languages: Python, Java Database Technologies: MS SQL Server platform, stored procedure programming experience using Transact SQL. Ability to lead, train and mentor.