About the position
Responsibilities
• Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide.
• Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm.
• Consistently achieves results, even under tough circumstances.
• Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production.
• Takes a broad view when approaching issues; using a global lens.
• Learns through successful and failed experiment when tackling new problems.
• Actively seeks ways to grow and be challenged using both formal and informal development channels.
• Collaborates with other team members in agile processes.
• Creates new and better ways for the organization to be successful.
• Works with the Product Team to ensure user stories are valuable, developer ready, easy to understand and testable.
• Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences.
• Adapts approach and demeanor in real time to match the shifting demands of different situations.
• Relates openly and comfortably with diverse groups of people.
• Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions.
Requirements
• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• 3 years of relevant work experience.
Nice-to-haves
• 2-4 years of relevant work experience.
• Experience with front end technology such as HTML, CSS, and Javascript/Typescript frameworks.
• Experience with an object-oriented programming language (preferably Java).
• Experience with Relational or noSQL database technology.
• Experience with cloud computing techniques, CI/CD tools, modern software design patterns.
• Experience and exposure to Salesforce.
• Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML.
• Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store.
• Experience in a modern scripting language.
• Experience with basic statistics and regression algorithms.
• Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch.
• Experience with security frameworks for user and services authorization and authentication.
• Experience with creating and executing unit, functional, destructive and performance tests.
• Experience with modern debugging and root cause analysis techniques.
• Experience with version control system.
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