Salesforce is seeking to build a next-generation Enterprise Security and Identity and Access Management (IAM) platform that strengthens Enterprise Security by unifying security, scalability, and compliance using AI and machine learning for advanced features like adaptive authentication, anomaly detection, and predictive security insights.
Requirements
- Proficiency in one or more programming languages: Python, Go, Java.
- Experience with distributed systems, SaaS platforms, microservices, and REST/gRPC APIs.
- Familiarity with Kubernetes, Docker, Terraform, and cloud-native architectures.
- Knowledge of software security best practices (e.g., OWASP Top 10, Zero Trust, MFA).
- Knowledge and/or experience with MLOps or AI/ML concepts, with willingness to grow further in this area.
- Exposure to MLOps pipelines (model training, deployment, monitoring).
- Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn) or cloud AI services (AWS SageMaker, Bedrock, Salesforce Cloud AI).
Responsibilities
- Analyze large-scale structured and unstructured datasets to identify trends, anomalies, risks, and opportunities in security and AI-powered tools.
- Build, curate, and maintain datasets; ensure data integrity across multiple sources for testing and model development.
- Develop, optimize, and test machine learning models (predictive, generative, NLP) and support MLOps workflows for deployment, monitoring, and integration into IAM systems.
- Partner with data scientists to productionize AI/ML models for risk-based access control, anomaly detection, and identity analytics.
- Design and implement quantitative metrics, dashboards, and visualizations to communicate insights and track key performance indicators (KPIs).
- Monitor log and telemetry data to proactively detect potential harms, threats, and misconfigurations.
- Build and deploy containerized applications using Kubernetes, Docker, Terraform, and modern CI/CD practices.
Other
- 3–8 years of professional software development experience.
- Strong problem-solving, debugging, and collaboration skills.
- Experience working in a large-scale, enterprise environment.
- Experience with IAM, Cybersecurity, or compliance frameworks (NIST, ISO, SOC 2).
- Curiosity and willingness to learn in this ever changing area is also equally important.
