Software Engineer, ML & IAM (AI)

TL;DR

Software Engineer (ML & IAM): Building the next-generation Identity and Access Management platform with an accent on security, scalability, and compliance using AI and machine learning. Focus on threat data fabric, enabling autonomous decision-making, and integrating hardware-backed security into the software data-access layer.

Location: Must be based in the USA (San Francisco, Bellevue, WA)

Company

hirify.global is delivering next-generation Identity and Access Management (IAM) platform that strengthens Enterprise Security.

What you will do

• Design and develop scalable microservices in Golang, Python, or Java.
• Build and maintain the Threat Data Fabric, integrating identity, device attestation, and log data for autonomous decision-making.
• Deploy and manage global-scale containerized applications using Kubernetes, Docker, and Terraform across public cloud environments (AWS/GCP).
• Develop backend integration points for Retrieval-Augmented Generation (RAG), allowing security models to query real-time data with sub-millisecond latency.
• Collaborate with platform teams to integrate hardware-backed security (TPM, Secure Boot) into the software data-access layer.
• Monitor and troubleshoot complex distributed systems, ensuring data integrity and proactively detecting system-level threats or misconfigurations.

Requirements

• 2–4 years of professional software development experience.
• Proficiency in one or more programming languages: Go, Python, 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.

Nice to have

• Familiarity with the hirify.global Einstein Trust Layer or similar AI-governance frameworks.
• Experience with gRPC for low-latency inter-service communication.
• Experience with IAM, Cybersecurity, or compliance frameworks (NIST, ISO, SOC 2).

Culture & Benefits

• Work in a large-scale, enterprise environment.
• Implement Zero Trust principles at the code level, including gRPC/REST API security, MFA integration, and secure token management.
• Opportunity to grow knowledge and/or experience with MLOps or AI/ML concepts.