Staff Software Engineer Mountain View, California
Intuit
Staff Software Engineer
Company Overview
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
Come join the Intuit Data Exchange (IDX) team as part of the Intuit as a Staff Software Engineer. IDX Document Comprehension provides AI powered platform across the org to extract all financial documents uploaded by user or imported from a financial institutes. The platform capabilities are built using Generative AI, Large Language Models (LLM) and goal based Agentic AI. We are looking for creative problem solvers with a passion for innovation to join our team and revolutionize the way the world does business. The candidate should have strong background on system design and platform architecture, thrive in a fast-paced environment, be comfortable with ambiguity, and drive customer outcomes across Intuit. The right candidate for this role is someone who has a strong technical, product and programming background and has worked in an agile environment.
The Staff Software engineer will be a developer in the next generation IDX cloud platform which is used by and impact all the key products at Intuit.
Responsibilities
- Be the technology leader and demonstrate ownership of critical platform service
- Responsible for the design and architecture of the initiative
- Applies comprehensive understanding of the business, customer needs to expertly design, develop and implement capabilities, tools and processes that deliver highly available, scalable and reliable customer experiences.
- Responsible for engineering and operational excellence for the team’s deliverables
- Implementing world class user experience working closely with designers and product owners
- Act in a technical leadership capacity: Mentoring junior engineers, new team members, and applying technical expertise to challenging programming and design problems
- Roughly 60% hands-on coding professional experience
- End to end engineering, quality focus with world class engineering and operational excellence. DevOps/AIOps responsibilities with Infrastructure as a code philosophy
- Innovation Champion – creative ways of solving customer issues within constraints
- Work cross-functionally with various Intuit teams: product management, various product lines, or business units to drive forward results
- Troubleshoots complex issues and effectively manages stakeholder expectations through clear communication and proactive updates.
- Experience with Agile Development, SCRUM, or Extreme Programming methodologies
- Be an effective communicator
- Building strong teams - set and evangelize vision, facilitative leadership, attract and retain key talent
Qualifications
- At least 10+ years’ experience developing web, software applications
- BS/MS in computer science or equivalent work experience.
- Strong Object Oriented Programming concepts.
- Progressive experience in AI/ML, Gen AI and LLMs (e.g., GPT, Claude, Gemini) and prompt engineering principles.
- Strong Java, Java EE skills and Spring framework
- Strong experience in back end programming in Java / Java EE, Springboot
- Experience working with RAG technologies and LLM frameworks (Autogen, LangChain and LlamaIndex), LLM APIs, embedding models, and vector databases or architecting custom agentic frameworks.
- Have at least 3 years for experience in Server Side Technologies
- Hands-on Experience in AWS Cloud technologies and Kubernetes
- Experience designing and architecting autonomous / Agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines).
- Thorough understanding of large scale distributed systems, micro services and two programming languages (Java and Python).
- Experience in handling mission critical services and platform – an added advantage
- Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and nontechnical audiences
- Experience in monitoring for service performance and failures and diagnosing root cause
- Ability to dis-ambiguate at large scale to deliver solutions for complex problems.
- Ability for rapid experimentation and productizing.
- 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), NoSql and MLOps ( kubeflow , MLPipeline ).
- Proficient in at least one big data tech - > Kafka , Flink , Cassandra , RedShift , BigQuery.
- Proficient in Hadoop, Spark or Flink based data processing .
- Thorough understanding of large scale distributed systems, micro services and two programming languages (Java and Python).
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
Bay Area California $197,000.00 - 266,500.00