Intuit - Staff Software Engineer - Java/Spring Boot (10-16 yrs)

Responsibilities :

- Be the technology leader and demonstrate ownership of critical platform service

- Responsible for the design and architecture of the initiative

- Responsible for engineering and operational excellence for the team's deliverables

- Designing/developing REST services with high availability and resiliency

- 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

- End to end engineering, quality focus with world class engineering and operational excellence.

- Devops 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

- Experience with Agile Development, SCRUM, or Extreme Programming methodologies

- Be an effective communicator

Qualifications :

- At least 10+ years' experience developing web, software applications

- BS/MS in computer science or equivalent work experience.

- Strong Object Oriented Programming concepts

- Strong Java, Java EE skills and Spring framework

- Strong experience in back end programming in Java / Java EE, Springboot

- Have at least 3 years for experience in Server Side Technologies

- Experience in AWS and Kubernetes an added advantage

- Experience in DevOps an added advantage

- 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 non-technical 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.

Desirable Skills :

- 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).