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.

Software Engineer, ML & IAM (AI)