W2 Only. Open to : Sunnyvale, Seattle, Austin, Boulder, Cary NC
Golang Developer
The Assurance Engineering team within Apple Information Security is looking for a talented Go developer with experience developing highly scalable software and automation.
The Opportunity For You
Your ability to architect solutions across the software stack will allow us to deliver cutting edge tools to the fast-paced team and valuable data to all of Apple to help secure its infrastructure from vulnerabilities.
Do you have a passion for building security products? Are you ready to apply your skills to solving new and exciting problems?
We are looking for an engineer that can design and implement security applications, frameworks and automation to enable faster turnaround for vulnerability discovery, detection, management and remediation.
Key Success Factors
- 5+ years developing large scale enterprise software
- Strong programming skills (ability to create efficient algorithms and data structures)
- 3+ years of Go (required)
- Expertise in the following scripting languages : Python (required) , Shell script
- Expertise in one or more of the following query languages : SQL (required) , NoSQL, SparkSQL
- Good working knowledge of Unix / Linux systems (filesystems, system calls, etc.)
- Good working knowledge of version control and repositories such as Git, and CI / CD process
- Good understanding and at least a basic working knowledge in socket programming (TCP / IP, HTTP / S, etc.)
- Experience in cloud and container based deployments, using AWS, GCP, Kubernetes etc. is a plus
- Experience in security and vulnerabilities is a plus
- Driven to automate and continuously improve
- Passionate about keeping our customers data safe
- Ability to track and manage numerous parallel activities
- Track record of practical problem solving, excellent communication and documentation skills
- Comfortable in a fast-paced dynamic agile environment
- High standard of ethics
- Good knowledge of integrating, analyzing, and presenting relevant metrics for very large data sets
Job ID : 385093
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