To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and were looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforces core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.About the team Auto-IAM team delivers next-generation Identity and Access Management (IAM) platform that strengthens Enterprise Security. The platform unifies security, scalability, and compliance by using AI and machine learning to enable advanced features like adaptive authentication, anomaly detection, and predictive security insights. The threat data fabric consolidates various Enterprise scale data to enable autonomous decision-making and reduce manual work. About the position We are seeking talented Software Engineers to join our team in building a next-generation Enterprise Security and IAM platform. The ideal candidate has strong software engineering skills, with a passion for designing secure, large-scale, distributed systems. Knowledge or experience in AI/ML or MLOps is valuable. In this role, you will develop and optimize scalable solutions, collaborate with cross-functional teams, and contribute to the integration of intelligent, AI-driven capabilities that enhance enterprise security. Curiosity and willingness to learn in this ever changing area is also equally important. If you are excited about pushing the boundaries of security and working with advanced technologies, we encourage you to apply!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. Write clean, maintainable, and efficient code in languages such as Python, Go, and Java. Collaborate with cross-functional teams to integrate IAM features such as Zero Trust, adaptive authentication, and device attestation. Troubleshoot and resolve software, infrastructure, and platform-related issues across diverse environments.Required Skills/Experience Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience). 3–8 years of professional software development experience. 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). Strong problem-solving, debugging, and collaboration skills. Knowledge and/or experience with MLOps or AI/ML concepts, with willingness to grow further in this area. Experience working in a large-scale, enterprise environment. Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience.Preferred Qualifications 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). Experience with IAM, Cybersecurity, or compliance frameworks (NIST, ISO, SOC 2).  Unleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this <a href="https://careers.mail.salesforce.com/accommodations-request-form" target="_blank">Accommodations Request Form</a>.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. <a target="_blank" href="https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal">Know your rights: workplace discrimination is illegal.</a> Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.<h3></h3><h3></h3><h3></h3><h3></h3>For Washington-based roles, the base salary hiring range for this position is $157,600 to $253,000.<h3></h3><h3></h3>For California-based roles, the base salary hiring range for this position is $172,000 to $276,100.<h3></h3><h3></h3>