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Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the corporate technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job Responsibilities
Required Qualifications, Capabilities, and Skills
Preferred Qualifications, Capabilities, and Skills
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the corporate technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job Responsibilities
- Build pipelines in Spark and tune Spark queries.
- Possess advanced knowledge of application, data, and infrastructure disciplines.
- Design, build, and maintain ML models in production, working closely with modelers and business stakeholders.
- Apply knowledge of machine learning model frameworks, algorithms, and tools for building ML solutions.
- Create and maintain technical documentation.
- Contribute to the group's knowledge base by finding new and valuable ways to approach problems and projects.
- Stay up-to-date with the latest advancements in GenAI and LLM technologies and incorporate them into our data engineering practices.
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Background with Machine Learning Frameworks and Big Data technologies such as Hadoop.
- Strong experience in programming languages such as Java or Python.
- Experience with Python Machine Learning libraries and ecosystems (e.g., Pandas and Numpy).
- Experience with Cloud technologies such as AWS or Azure.
- Experience working with databases such as Cassandra, MongoDB, or Teradata.
- Knowledge of build tools like Maven and source control like Git/SVN.
Preferred Qualifications, Capabilities, and Skills
- Familiarity with modern front-end technologies.
- Exposure to cloud technologies.
What you need to know about the Melbourne Tech Scene
Home to 650 biotech companies, 10 major research institutes and nine universities, Melbourne is among one of the top cities for biotech. In fact, some of the greatest medical advancements were conceptualized and developed here, including Symex Lab's "lab-on-a-chip" solution that monitors hormones to predict ovulation for conception, and Denteric's vaccine for periodontal gum disease. Yet, the thousands of people working in the city's healthtech sector are just getting started, to say nothing of the tech advancements across all other sectors.
