Lead Software Engineer - AI-Driven Privileged Access

hackajob; Jersey City (NJ); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health care coverage

On-site health and wellness centers

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

hackajob leads the design and development of secure IAM software, driving AI-assisted engineering and overseeing evaluations with vendors and internal teams. The role demands 5+ years in software engineering with Java, Shell Scripting, and Linux, plus expertise in authentication, authorization, and cloud-native tech within an Agile setting.

Ideal candidates will bring strong OO design, design patterns, CI/CD, RBAC/ABAC, Terraform, and cloud-native experience, with Python and SRE familiarity also

Qualifications

• Requires 5+ years of software engineering experience with advanced proficiency in Java, Shell Scripting, and Linux systems.
• Candidates must have expertise in authentication, authorization, and cloud-native technologies within an agile environment.

Responsibilities

• Lead the design, development, and troubleshooting of secure software solutions for Identity and Access Management.
• Drive the adoption of AI-assisted engineering practices and lead technical evaluations with external vendors and internal teams.

Skills

Java

Shell Scripting

Linux

Object Oriented Programming

Design Patterns

CI/CD

RBAC

ABAC

Cloud-native technologies

SQL

NoSQL

AI-assisted engineering

Terraform

Infrastructure as Code

Python

SRE

Job description

hackajob leads the design and development of secure IAM software, driving AI-assisted engineering and overseeing evaluations with vendors and internal teams. The role demands 5+ years in software engineering with Java, Shell Scripting, and Linux, plus expertise in authentication, authorization, and cloud-native tech within an Agile setting.

Ideal candidates will bring strong OO design, design patterns, CI/CD, RBAC/ABAC, Terraform, and cloud-native experience, with Python and SRE familiarity also