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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.

Our Security Software Engineering team builds and operates highly scalable, fault-tolerant, distributed systems to deliver cloud-scale security software services. We provide the fundamental building blocks to improve and preserve customer trust in Salesforce's products across multiple public cloud substrates and our own network infrastructure. We architect and implement our services, to protect Salesforce products/infrastructure and defend against malicious attacks. You will have the unique opportunity to learn from the best industry security experts and integrate that into your software and service engineering.

We are looking for an experienced engineer to help bring all security data across all substrates from all Salesforce Business Units into a world-class security data lake that supports timely detections and responses to information security events across Salesforce applications, infrastructure, and services. We will strive to make security easy, seamless and automated to remove friction, human error and achieve an economy of scale that supports Salesforce accelerated growth. Achieving this vision requires collaboration across Salesforce and the industry at large. In particular, we will 1. partner with various Salesforce organizations to automate the log ingestion to minimize service owners' engagement 2. optimize the data collection for scale, cost, operation & performance 3. drive consistent DNR onboarding experience for data quality, discovery and reliability

Responsibilities

• Partner with various Salesforce organization to automate the log ingestion to minimize service owners' engagement

• Design and implement new data ingestion paths to optimize the data collection for scale, cost, operation & performance

• Drive consistent DnR onboarding experience for data quality, discovery and reliability

• Assist in technical authority, vision, documentation of operational procedures and guidance to ensure the continued evolution of the platform

• Operate in an Agile development environment, including participating in daily scrums

• Support the team's engineering excellence by performing code reviews and mentoring junior team members

Required Skills/Experience

• Industry experience: 5 years, including:

  • Expertise in designing, implementing and operating high-scale distributed systems architectures

  • Experience in Public cloud, including history of building platforms in AWS, GCP, or Azure through Infrastructure-as-Code (IaC).

• Programming: Proficiency in object-oriented and multi-threaded programming in at least one of the following languages: Java, Python, Golang

• Operating systems: Development and software management on Linux (e.g., CentOS, RHEL) and Windows

• Strong troubleshooting and debugging skills.

• Communication. Excellent oral and written communication skills

• Team. Ability to value team success beyond personal contributions

• Education. B.A/B.Sc. in Computer Science/Engineering with equivalent years of experience

Desired Skills/Experience

• Platform development. Proven track of designing and coding large-scale PaaS or IaaS systems.

• Big Data: Proficiency and experience with relational and NoSQL databases, message queues (Kafka, SNS/SQS, etc), Splunk and other components in data pipelines

• Experience building services with Docker, Kubernetes, Terraform, Spinnaker

• Good knowledge with network technologies, such as TCP/IP, DNS or load balancer.

• Security. Strong fundamentals knowledge in security concepts: authentication/authorization frameworks (e.g., SSO, SAML, Oauth), secure transport (e.g., SSL, TLS), identity management (e.g., certificates, PKI)

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