Intuit
Staff Software Engineer
- Compensation
- Not disclosed
- Location
- Mountain View, California, United States
- Work setup
- Not specified
- Seniority
- Staff
- Employment
- Not specified
- Experience
- 7+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 70-85% hands-on development in all phases of the software life cycle
- Team player possessing strong analytical, problem-solving, and communication skills
- Conduct design and code reviews - create technical documentation
- Embrace DevOps model
- 'Self-starter' attitude and the ability to make decisions independently
- Estimate and sequence of individual activities as inputs to project plans
- Analyze and synthesize a variety of inputs to create software and services.
- Identify dependencies as inputs to project plans
- Collaborates effectively with peer engineers and architects to solve complex problems spanning their respective areas to deliver end-to-end quality in our technology and customer experience.
Full description
Come join the Intuit Mid Market team as a Staff Software Engineer. In this role you will get to build AI native platforms for enterprise users. You’ll be embedded inside a vibrant team of full stack engineers, AI engineers working on AI first experiences. We are looking for engineers that love to take on new challenges, solve tough problems, and have deep empathy for our customers. You’ll work with a small group of passionate engineers, product managers and designers.
Responsibilities
- BS or MS in Computer Science or related field, or equivalent experience
- 7+ years of core development experience
- Drives velocity in the organization by accelerating customer, business, and technology outcomes by identifying and driving key opportunities across the company.
- Advanced experience with Java and/or Kotlin, Spring Boot, Spring Cloud Stream, Kafka, Kubernetes, GitHub, JUnit 4/5, Python
- Experience working in Agile development teams; working knowledge of Agile (Scrum) development methodologies
- Hands on experience with Amazon web services: EC2, OpenSearch (or ElasticSearch), Aurora PostgreSQL, CloudWatch, CloudFormation, Apache Flink or Apache Spark
- Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions.
- Experience with AI technologies like SageMaker, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python, Agentic Engineering
- Experience working with large scale, distributed systems
- Excellent communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.
- Working experience of debugging and monitoring tools (Splunk, Wavefront)
- Driven, motivated team player with a Get Stuff Done mentality!
- Experience with the entire Software Development Life Cycle (SDLC), CI/CD
- Experience with real time stream processing is an added advantage
- Experience of data Tools and spark frameworks (i.e. Python, PyTorch, Numpy, Pandas etc).
- Knowledge of Applied AI
Qualifications
- 70-85% hands-on development in all phases of the software life cycle
- Team player possessing strong analytical, problem-solving, and communication skills
- Conduct design and code reviews - create technical documentation
- Embrace DevOps model
- 'Self-starter' attitude and the ability to make decisions independently