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Job Category
Software Engineering
Job Details
About Salesforce
We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.
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About the Team:
The Productivity Cloud team at Salesforce is rapidly innovating in the CI space to be able to build a world-class CI platform to transform our developer productivity and experience from Code to Cloud. If you have been a leading-edge technologist and have been passionate about distributed systems, and building platforms, frameworks, and tools, and if you are someone who wants to Disrupt and innovate, you should be part of our dynamic team that's building our next-generation CI platform.
About the Role:
This Role provides the opportunity to work with a highly energized technical team to deliver a
CI platform that services developers at scale. You will be working on a CI platform that is built for scale and will be building and testing 1000s of microservices and executing millions of tests across multiple branches.
You will have an opportunity to delight 10000+ internal developers and 100K+ external developers with your innovative platform skills and solutions. Leverage the latest AI, machine learning, and predictive analytics technologies to build a highly responsive and secure state-of-the-art pipeline/CI platform.
In this role, you would have a chance to transform and influence 100's of scrum teams towards a more agile system using the latest in SCM and CI technologies. Your customers are the top notch engineers, architects and technical leaders at Salesforce who help create the most innovative Mobile, Social, Cloud based Customer Success Platform and Applications in the industry.
Responsibilities:
- Design and implement a secure Microservices model at scale, and integrate with critical subsystems.
- Performance analytics and scale the platform to 1000s of CI pipelines.
- Work with Security team to enable security and compliance checks in the CI/CD pipelines.
- Automation of release management activities
- Implement best practices for artifact management and signing, integrating with deploy
- services and workflow management for integration testing.
- Work closely with Developers, Architects and Operations to rollout and deploy pipeline
- components
Some attributes of successful candidates:
- Very passionate in engineering and developing platforms and frameworks.
- Data-driven approach to problem-solving
- Good understanding of software development lifecycle, DevOps, DevsecOps
- Experience in implementing solutions using Docker solutions for Microservices model.
- Have worked with AWS or similar Cloud solutions and have strong hands-on experience with Java, Python, Docker, Service discovery, Resource scheduling and have done successful implementations at scale.
- Management around pipelines, static analysis, code coverage and security.
Qualifications:
- 10+ years of professional hands on backend development experience
- Strong experience with Java, Golang, Node.js and/or C++ in a Linux/UNIX data center environment
- Experience with Git, Perforce, Maven, Jenkins.
- Good understanding of security scanning tools and vlunarability management tools.
- Strong understanding of code dependency management, test case analysis
- Good understanding of Docker, Kubernetes and similar technologies
- Experience with logging, monitoring, alerting and analytics.
- Experience owning and operating multiple instances of a mission critical service
- Experience with Agile development methodology and Test-Driven Development
- Experience using metrics to drive operational excellence
- Experience with Systems development
- Strong analytical skills, understanding of analytics to drive tests based on workflows
- Ability to analyze complex systems and failure modes and build technical strategies for improvements based on those findings.
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