IAM Engineer with AI/ML Experience

Identity and Access Management (IAM) Engineer

Location: San Jose,CA(Hybrid)

Duration: Long Term

Job Descriptions:

We are seeking a highly talented Software Engineer 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!

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.

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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).

Responsibilities