Senior Staff Software Engineer

Job Overview

As a Senior Staff Software Engineer at Intuit, you will play a significant role in designing and implementing our Modern analytics solutions, which is fundamental to driving our innovative solutions at scale to derive any analytical Insights.. We are looking for a technical individual with profound expertise in Java, building platforms with ML , and AWS to drive major capabilities and ensure operational excellence in high-impact projects.

Responsibilities

• Lead the architecture and implementation efforts of multiple capabilities or sections within our MAP
• Drive significant technology initiatives end-to-end and across multiple layers of architecture.
• Drive design and implementation of durable and software solutions that will solve critical customer problems, are scalable, secure, easy to maintain, and interact with numerous other services
• Serve as a technical leader and expert across multiple teams.
• Drive and guide innovative work that may include the development of new-to-the-world technology solutions.
• Collaborate with cross-functional teams to identify, share, and address risks impacting our business.
• Drive customer-focused design and development with a deep understanding of customer pains and needs.
• Mentor and assess engineers to foster a talented and inclusive technical team.
• Provide recommendations and best practices for application development, platform development, and developer tools
• Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
• Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
• Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.
• Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
• Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
• Explore new technology shifts

Qualifications

• BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
• Minimum 12+ years of professional experience in software engineering.
• Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy,Pandas, TensorFlow, Keras, R, Spark).
• Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
• Understand machine learning principles (training, validation, etc.)
• Knowledge of data query and data processing tools (i.e. SQL)
• Computer science fundamentals: data structures, algorithms, performance complexity, and
• implications of computer architecture on software performance (e.g., I/O and memory tuning).
• Proficiency in Spring/ Golang and extensive experience with AWS.Practical experience in developing applications using microservices, container technologies, container management systems such as Kubernetes, Mesos etc
• Demonstrated ability to lead multiple scrum teams (~10 engineers).
• Experience in leading technical design, architecture, and code reviews.
• Strong ability to simplify technical designs and operations to enhance team understanding and performance.
• Understand machine learning principles (training, validation, etc.)
• Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
• Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
• Mathematics fundamentals: linear algebra, calculus, probability
• Experience using deep learning architectures
• Experience deploying highly scalable software supporting millions or more users
• Experience with GPU acceleration (i.e. CUDA and cuDNN)
• Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)