Software Engineer

Software Engineer 15632

• Hourly pay: $75-$85/hr
• Worksite: Leading professional development and networking company (Sunnyvale, CA or Mountain View, CA (Bay Area), Must be onsite 2-3 days a week)
• W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
• 40 hours/week, 12 Month Assignment

A leading professional networking company seeks a Software Engineer. The successful candidate will develop and operate mission-critical services and applications that are used by customers and employees worldwide. The company offers a great work environment!

Software Engineer Responsibilities:

• Lead the technical design, implementation, and deployment of software solutions.
• Coordinate and lead cross-functional teams, ensuring that projects are successfully executed, meeting the company's standards for quality software engineering.
• Design and ship a high volume of elegant code with foresight to avoid performance, scalability, usability, maintainability, availability, and testability issues.
• Identify opportunities within the team for potential leverage and reuse by developing libraries, APIs, and shared services.

Software Engineer Qualifications:

• 6+ years of software engineering experience.
• BA/BS degree in Computer Science or related field.
• Proven track record of developing large-scale, highly available services and systems in Java, Python, React, Hadoop, Kafka, and Kubernetes.
• Working experience in building systems, databases, and Linux-based infrastructures (SQL).
• Working experience in the development as well as consumption of Web Services APIs (JSON / XML / RPC) is preferred.
• Demonstrated understanding of Computer Science fundamentals is preferred.
• Demonstrated understanding of architectural models and technology stack used for developing highly scalable and highly available web applications and systems is preferred.
• Understanding of Agile Software Development methodologies is preferred.
• Experience developing mobile applications is a bonus.
• Experience with data-related technologies, ETL processes, large data sets, and data streaming services.