Software Engineer (Security & Identity IAM)

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 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
Bachelors 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