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Software EngineeringJob Details
Your Impact:
Drive strategic technology initiatives, working with Product Managers, other Architects, Engineers, SME's, and the broader Salesforce organization
Building a self-healing, autonomous platform that meets the real-time cybersecurity needs and enables Salesforce to continuously reduce security and compliance risk
Coordinates and drives the end-to-end architecture of the platform
Crafts overall architectural principles, frameworks, and standards
Creates solutions that are enterprise-scalable and maintainable
Works in a collaborative manner to improve communication, teamwork, and alignment among teams inside and outside of the organization
Provides input into long-range planning requirements, standard methodologies, and operational guidelines, with a focus on continuous improvement of platform reliability and serviceability
Drives research, case studies, and prototypes on innovative technologies and how they can be used
Ensures that we are continuously raising our standard of engineering excellence
Participate in the team’s on-call rotation to address complex problems in real time and keep services operational and highly available
Required Skills:
Bachelor's degree or equivalent experience in Computer Science, Engineering or related fields
10+ years of software development experience
Extensive experience building large-scale distributed systems using cloud services (AWS, GCP, Azure, etc.)
Experience building an enterprise-grade SIEM platform that supports various log formats and device types used for Incident management and GRC use cases
Deep understanding of object-oriented programming and experience with at least one object-oriented programming language (Java, Python)
Ability to provide (informal) mentorship to team members to support their understanding of the architecture and aid in their technical development
Ability to work with other architects and principal engineers to craft the architectural vision and roadmap for the products
Develops technical performance architecture that solves most complex performance issues
Preferred Skills:
Shown experience building services with Docker and Kubernetes
Experience with Big Data platforms such as Apache Spark, EMR, EKS, Flink
Expertize with relational and NoSQL databases, message queues (Kafka, SNS/SQS, etc), and other components in data pipelines
Knowledge building services with Terraform, Helm, Ansible, and Spinnaker
Strong fundamentals knowledge in security concepts:authentication/authorizationframeworks (e.g., SSO, SAML, Oauth), secure transport (e.g., SSL, TLS), identity management (e.g., certificates, PKI)
Understanding of industry standard risk, governance and compliance methodologies
Consistent track record in developing AI / ML based solutions to bring in greater operational efficiency in solving security usecases ( Compliance monitoring, UEBA, Anomaly detection ..etc)
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