Randstad is partnering with a leader in helping the world’s largest organizations adapt to what’s next by bringing finance, HR, and planning into a single enterprise cloud. This team is responsible for Big Data Platform on both on-premise and cloud providing a highly available and scalable data services related to persistence, compute and security.
location: Pleasanton, California
job type: Permanent
salary: $168,300 – 210,399 per year
work hours: 8am to 4pm
education: Bachelors
responsibilities:
Software Development Engineer – Distributed Systems Designs, develops, troubleshoots and debugs distributed software programs for enhancements and new products across multiple disciplines and multiple platforms. Capable of designing and implementing software able to manage the tradeoffs between data consistency, availability, partition tolerance. Develop, design and deploy software and tools in support of a data processing system, including highly concurrent transaction processing, distributed memory management, communication protocols, and efficient distributed data algorithms.
Architect and develop scalable solutions on both Internal Data Centers and Public Cloud
Rapidly build new applications and automate operations on an existing, robust enterprise big data platform
Modernize our on-premise Hadoop infrastructure to provide immutable cloud-like software
Work on multiple types of software development including backend, front-end, and devops.
Collaborate with Product Managers to help define engineering roadmap and translate business requirements into technical requirements
Collaborate with other team members to deliver cutting edge solutions and deliver value to our customers
Enhance team technical capabilities and workforce by using cutting-edge technologies
Mentor and help grow other developers of the team
Serve in an on-call rotation as an escalation contact for critical production issues
Basic Qualifications
Bachelor’s Degree or higher. Computer Science major is preferable.
5+ years of industry software engineering experience, preferably in SaaS/Cloud Services
strong algorithm design and programming skill required
Good understanding of how Hadoop/Spark cluster works
Proficient in Java/Scala programming and one scripting language, ruby/python preferred.
Other Qualifications
Good understanding of enterprise security, encryption-at-rest/authentication/authorization
Experience in collaborating with Apache open source community
Experience in managing deployment with Kubernetes and Docker container
Self-motivated, detail-oriented, attitude of fixing problems
Excellent verbal and written communication and presentation skills
Nice to Have:
Experience with AWS capabilities and architecture
Experience with Containerization using Docker and Kubernetes is a plus
Experience in distributed computing
qualifications:
skills:
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance.
We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.
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