Generative Systems Architect

Job Description

Axiad is an identity security company tackling the critical threats posed by compromised credentials, which account for over 70% of enterprise breaches. As human and non-human identities multiply across disparate systems, traditional IAM tools fall short, leaving organizations with fragmented visibility and significant security gaps.

Axiad bridges this divide by uncovering hidden identity risks and credential vulnerabilities, providing actionable insights to strengthen securitywithout requiring a complete system overhaul. Our solutions integrate seamlessly with existing IAM infrastructures, enabling organizations to shrink their attack surface and adopt phishing-resistant, strong authentication methods.

At Axiad, we make identity security simple, effective, and real for a passwordless, more secure world. Discover more at axiad.com or follow us on LinkedIn.

Location: Hybrid

Job Type: Full-time

Axiad is seeking a visionary Generative Systems Architect to pioneer the future of software creation. This role evolves the traditional architect position by leveraging a full-stack AI development ecosystem. You will fuse 12+ years of software development experience and deep expertise in the Go programming language with a suite of sophisticated AI tools. Your mission is to steer the architectural design and automated development of mission-critical identity and access management (IAM) systems.

Instead of direct, hands-on coding, you will be the strategic mind orchestrating our AI coding agents. You will translate complex business objectives into architectural blueprints and high-level prompts, guiding our AI from ideation to implementation. You will drive technical excellence by directing AI, not by writing code manually.

The AI-First Development Environment

Your core toolkit is designed for high-level abstraction and strategic oversight:

- Ideation & Requirements with PM AI tools like devplan: Generate and refine user stories, product requirements, and technical specifications through iterative, AI-assisted dialogues.
- AI-Driven Implementation with AI coding agents like ClaudeCode, Cursor: Direct our AI coding agent to translate your architectural designs into high-quality, performant Go code.

Intelligent Review with AI code review tools like CodeRabbit: Leverage AI to handle syntax, style, and boilerplate reviews, allowing you to focus your expertise on validating the logic, security, and integrity of AI-generated.

Role Responsibilities

AI-Driven Technical Leadership

- Define and drive enterprise-wide architectural standards and best practices for Go-based applications.
- Lead AI-augmented architectural design sessions, using devplan to translate business objectives into robust blueprints for AI execution.
- Evaluate and recommend technology stacks, frameworks, and tools that enhance the performance and capabilities of our AI-driven development process.
- Establish design patterns and development methodologies optimized for an AI-first workflow, ensuring the creation of scalable, resilient, and maintainable microservices architectures.

Generative Development & Orchestration

- Generate high-quality, performant Go code by authoring precise, context-rich prompts and specifications for our AI coding agent, ClaudeCode.
- Oversee AI-assisted code reviews with CodeRabbit, providing expert-level mentorship by focusing on the architectural integrity and logical soundness of the output.
- Rapidly prototype and develop proof-of-concepts for new architectural approaches by directing AI agents, validating complex ideas in a fraction of the traditional time.
- Guide the AI to debug and optimize performance bottlenecks in production systems.

System Design & AI-Powered Architecture

- Design and architect large-scale distributed systems and microservices by defining the high-level strategy and constraints for AI implementation.
- Use AI tools to generate and curate comprehensive technical documentation and architectural diagrams, ensuring they remain perfectly in sync with the evolving codebase.
- Ensure critical system requirements for scalability, security, and high availability are translated into clear, enforceable directives for the AI development process.
- Plan and execute system migrations and modernization initiatives by leveraging AI to analyze existing systems and generate refactoring strategies.

Skills and requirements

Experience & Technical Expertise

- Direct, hands-on experience with our AI-first toolchain, including devplan, ClaudeCode, and CodeRabbit, or similar generative development platforms.
- 12+ years of software development experience with strong programming and computer science fundamentals.
- 5+ years of deep expertise in the Go programming language and its ecosystem, enabling you to effectively guide, critique, and validate AI-generated Go code.
- Extensive experience designing microservices architectures and distributed systems.
- Strong architectural knowledge of cloud platforms (AWS/GCP/Azure) and containerization technologies (Docker, Kubernetes).
- Proficiency in defining schemas and interaction patterns for database technologies (SQL and NoSQL).
- Deep understanding of event-driven principles, including message queues and event streaming (Kafka, RabbitMQ).
- Expertise in RESTful APIs, gRPC, and modern API design principles.
- Experience with identity and access management (IAM) solutions. Familiarity with identity providers like Auth0, Okta, or Azure AD is highly preferred.
- Solid understanding of CI/CD pipelines and DevOps practices as they apply to automating the deployment of AI-generated code.
- Knowledge of how to implement monitoring, logging, and observability using tools like Prometheus, Grafana, or the ELK stack.

Leadership & Soft Skills

- Proven track record of leading technical teams and mentoring developers, with an ability to inspire a shift towards new paradigms.
- Excellent problem-solving and analytical skills, applied to deconstructing complex problems for AI collaboration.
- Strong communication skills with a unique ability to explain complex technical concepts to both human stakeholders and AI agents.
- Ability to balance technical excellence with business requirements and timelines in a fast-paced, Agile/Scrum environment.

Preferred Qualifications

- Familiarity with advanced event-driven architectures and CQRS patterns.
- Experience with infrastructure as code (Terraform, CloudFormation).
- Deep knowledge of security best practices and secure coding principles.

ABOUT US

We are a fast-moving company and are looking for candidates with growth potential, eager to learn and who can demonstrate their abilities and motivation to contribute in a fast-paced environment. Axiad offers a competitive compensation and benefits. You will work in a fun and creative environment with a talented group of individuals that have a passion for building great solutions.

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