Senior Lead Software Engineer - Data / Machine Learning Operations

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Design and develop large-scale solutions or platforms using Cloud services (i.e. AWS) in alignment with the firm wide strategies and security controls
• Deploy and enable cloud based solutions at firm level, supporting complex analytics and day to day business operations
• Migrate legacy an big data applications at Cloud native applications with zero downtime
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Develop solutions or tools to monitor, provision components for automation or the processes, services, and reports
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Adds to the team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training and certification on software engineering concepts and 5+ years applied experience. In addition, 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Good knowledge of Machine Learning modelling as an engineer
• Advanced in one or more programming language(s) and framework(s) (i.e., Python, Java, Big Data, Data pipeline, Machine Learning, etc.)
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Advanced knowledge of application, data, and infrastructure architecture disciplines
• Working experience in software development, OOPS and SDLC
• Ability to tackle design and functionality problems independently with little to no oversight
• Knowledge of the financial services industry and their TI systems
• Practical cloud native experience
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
• AWS certifications (e.g. Solutions Architect Associate)
• Knowledge of RAG architectures and exposure to AI/Automation technologies that improve operations
• Experience with building Data Pipelines in Spark, Tuning Spark queries
• Understands Python Machine Learning libraries and ecosystems (i.e., Pandas, Numpy, etc.)
• Working knowledge with Big Data platforms (i.e., Hadoop preferred)
• Experience in Cloud Technologies (i.e., AWS - Databricks preferred)