Cloud Software Development Engineer

1 week ago

South San Francisco, California, United States Apex Systems Full time
Job Summary

We are seeking a highly skilled Cloud Software Development Engineer to join our team at Apex Systems. As a key member of our team, you will be responsible for designing, developing, and maintaining user-friendly and responsive web UI based software applications on AWS cloud.

Key Responsibilities
  • Design and Development: Design and develop user-friendly and responsive web UI based software applications on AWS cloud.
  • Backend Systems: Develop and maintain backend systems, ensuring seamless integration with frontend applications.
  • System Integrations: Develop and maintain asynchronous and/or synchronous integrations between systems, ensuring efficient data exchange.
  • Database Management: Design and optimize SQL and No-SQL database schemas and queries for efficient data storage and retrieval.
  • Code Contribution: Contribute code to other cloud-based services written in languages like Java, Python, etc.
  • Testing and Quality Assurance: Write and maintain a robust suite of tests to ensure the functionality and integrity of developed applications.
  • Collaboration: Collaborate cross-functionally with the team to understand user needs and translate them into user-friendly and aesthetic user interfaces.
  • Scientific Collaboration: Collaborate closely with a team of scientists to build tools that assist in groundbreaking biology research.
Requirements
  • Experience: 5 years of software development experience.
  • Proven Track Record: Proven track record of constructing quality, user-friendly tools in a fast-paced environment.
  • Product Expertise: With 3 years of experience in testing, maintaining, or launching software products, and 1 year in software design and architecture, you'll be a key player in our success.
  • Technical Skills: Understanding of data structures algorithms (DSA) and programming languages like Python, Java, and Groovy.
  • Problem-Solving: Ability to identify patterns, develop general-purpose frameworks, and address scalability requirements for data pipelines and database/data warehouse solutions.
  • Adaptability: Ability to quickly acquire new technologies and programming languages.
  • Development Practices: Follow test-driven development and clean code patterns.
  • Continuous Integration: Use Continuous Integration and Delivery approach.
  • Cloud Computing: Experience with cloud computing platforms, especially AWS, AWS services, and data warehouse solutions like Snowflake or Redshift.
  • Technical Expertise: Demonstrated technical expertise in solving challenging programming and design problems.
  • Data Pipelines: Proficiency in developing and optimizing both batch and real-time data pipelines, encompassing tasks such as data collection, consolidation, normalization, and scheduling.
  • Teamwork: Team-oriented individuals with strong collaboration, prioritization, and adaptability skills.
  • Scientific Collaboration: Effective collaboration with data scientists to refine data models, design improvements, conduct experiments, and iteratively improve results.
Preferred Qualifications
  • Biological Data Experience: Experience with biological data and processes is a strong plus.
  • Research Environment: Experience working with scientists or in a research environment is advantageous.
  • Full-Stack Development: Proficiency in full-stack development, spanning both back-end (Java, Python) and front-end (JavaScript or TypeScript, HTML, CSS).
  • Machine Learning: ML and Software Expertise: Utilize your deep knowledge of ML and Software Engineering Machine Learning skills to unlock the potential of data, technology, and computational approaches.
  • Database Proficiency: SQL and no-SQL proficiency.
Education
  • Degree: Bachelor's Degree or higher in Computer Sciences, Data Science, or related fields.

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