Security Architect

Ajaia is a rapidly growing AI consultancy and product studio dedicated to helping organizations move from experimentation to real results. We operate across four core pillars: AI Strategy and Advisory, AI Engineering and Automation, Workforce Training and Enablement, and Custom Product Development.

In addition to client services, Ajaia builds proprietary AI products, copilots, and vertical solutions that solve high-value industry problems. This dual model allows us to translate hands-on implementation experience into scalable products while continuously refining our approach through real-world deployment.

Our operating model combines deep technical execution with practical change management, enabling enterprises to deploy secure, compliant, and high-impact solutions that drive measurable operational value. From executive roadmapping to production-ready systems and workforce upskilling, Ajaia embeds intelligent tools directly into the workflows that matter most.

Mission: Help organizations win the AI moment.

Position Overview

Ajaia is hiring a Cloud Security & DevOps Engineer to manage and secure the company's multi-cloud infrastructure across GCP and Azure. This is a technical, hands-on role. You will configure infrastructure, enforce security controls, manage deployment pipelines, and build automation that reduces manual overhead across IT and security operations.

The company operates AI products across regulated industries, so you will support compliance requirements (HIPAA, SOC 2) at the infrastructure level. You are expected to think about security as part of every system you build or maintain, not as an afterthought. Internal IT operations (access management, endpoint security, onboarding automation) are also part of your scope.

The company is AI-first. You should already be using AI tools to write scripts, analyze logs, generate documentation, and accelerate your engineering work.

We expect candidates to use AI in daily workflows across research, ideation, drafting, design iteration, quality checks, and delivery acceleration. AI fluency is a core execution requirement, not optional tooling.

Requirements

Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or equivalent experience
2–5 years of experience in one or more of the following areas:

Cloud engineering and infrastructure management (GCP, Azure, or multi-cloud)
DevOps, site reliability engineering, or platform engineering
Infrastructure security and cloud security implementation
CI/CD pipeline management and deployment automation

Hands-on experience managing cloud environments across GCP and Azure (multi-cloud experience required)
Proficiency with infrastructure-as-code tools (Terraform, Pulumi, or similar)
Experience building and securing CI/CD pipelines
Working knowledge of cloud security fundamentals: IAM policies, network segmentation, firewall rules, encryption at rest and in transit
Scripting ability in Python, Bash, or similar languages
Experience configuring and managing security monitoring and alerting systems
Ability to support internal IT operations: access management (SSO, MFA, RBAC), endpoint security, and onboarding automation
Familiarity with compliance requirements at the infrastructure level (HIPAA, SOC 2 preferred)
Strong documentation skills and ability to maintain clear infrastructure and security records
Comfortable working autonomously in a fast-paced, fully remote, distributed environment
Proficiency with AI tools in daily technical work

Preferred Requirements:

Relevant certifications: GCP Professional Cloud Security Engineer, Azure Security Engineer, AWS Security Specialty, CompTIA Security+, or equivalent
Experience with container orchestration and container security (Kubernetes, Cloud Run, Docker, or similar)
Experience with service mesh, network policies, or micro-segmentation
Background supporting regulated workloads in healthcare or financial services
Experience with SIEM platforms, vulnerability scanning tools, or penetration testing coordination
Experience with system performance monitoring, availability engineering, and cost optimization
Familiarity with compliance evidence collection and audit support at the infrastructure level
Background with configuration management tools (Ansible, Chef, Puppet, or similar)

Benefits

Base salary: Approximately $28,000–$35,000 USD per year (calibrated for target regions).
Performance bonus: Opportunity to earn up to 100% of base salary in performance-based bonuses.
Salary and total compensation depend on experience, location, and demonstrated performance during the hiring process.

Originally posted on Himalayas

Job Description

About the Company

Mission: Help organizations win the AI moment.

Position Overview

The company is AI-first. You should already be using AI tools to write scripts, analyze logs, generate documentation, and accelerate your engineering work.

Requirements

Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or equivalent experience
2–5 years of experience in one or more of the following areas:

Cloud engineering and infrastructure management (GCP, Azure, or multi-cloud)
DevOps, site reliability engineering, or platform engineering
Infrastructure security and cloud security implementation
CI/CD pipeline management and deployment automation

Hands-on experience managing cloud environments across GCP and Azure (multi-cloud experience required)
Proficiency with infrastructure-as-code tools (Terraform, Pulumi, or similar)
Experience building and securing CI/CD pipelines
Working knowledge of cloud security fundamentals: IAM policies, network segmentation, firewall rules, encryption at rest and in transit
Scripting ability in Python, Bash, or similar languages
Experience configuring and managing security monitoring and alerting systems
Ability to support internal IT operations: access management (SSO, MFA, RBAC), endpoint security, and onboarding automation
Familiarity with compliance requirements at the infrastructure level (HIPAA, SOC 2 preferred)
Strong documentation skills and ability to maintain clear infrastructure and security records
Comfortable working autonomously in a fast-paced, fully remote, distributed environment
Proficiency with AI tools in daily technical work

Preferred Requirements:

Relevant certifications: GCP Professional Cloud Security Engineer, Azure Security Engineer, AWS Security Specialty, CompTIA Security+, or equivalent
Experience with container orchestration and container security (Kubernetes, Cloud Run, Docker, or similar)
Experience with service mesh, network policies, or micro-segmentation
Background supporting regulated workloads in healthcare or financial services
Experience with SIEM platforms, vulnerability scanning tools, or penetration testing coordination
Experience with system performance monitoring, availability engineering, and cost optimization
Familiarity with compliance evidence collection and audit support at the infrastructure level
Background with configuration management tools (Ansible, Chef, Puppet, or similar)

Benefits

Base salary: Approximately $28,000–$35,000 USD per year (calibrated for target regions).
Performance bonus: Opportunity to earn up to 100% of base salary in performance-based bonuses.
Salary and total compensation depend on experience, location, and demonstrated performance during the hiring process.

Originally posted on Himalayas

Job Description

About the Company

Mission: Help organizations win the AI moment.

Position Overview

The company is AI-first. You should already be using AI tools to write scripts, analyze logs, generate documentation, and accelerate your engineering work.

Requirements

Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or equivalent experience
2–5 years of experience in one or more of the following areas:

Cloud engineering and infrastructure management (GCP, Azure, or multi-cloud)
DevOps, site reliability engineering, or platform engineering
Infrastructure security and cloud security implementation
CI/CD pipeline management and deployment automation

Hands-on experience managing cloud environments across GCP and Azure (multi-cloud experience required)
Proficiency with infrastructure-as-code tools (Terraform, Pulumi, or similar)
Experience building and securing CI/CD pipelines
Working knowledge of cloud security fundamentals: IAM policies, network segmentation, firewall rules, encryption at rest and in transit
Scripting ability in Python, Bash, or similar languages
Experience configuring and managing security monitoring and alerting systems
Ability to support internal IT operations: access management (SSO, MFA, RBAC), endpoint security, and onboarding automation
Familiarity with compliance requirements at the infrastructure level (HIPAA, SOC 2 preferred)
Strong documentation skills and ability to maintain clear infrastructure and security records
Comfortable working autonomously in a fast-paced, fully remote, distributed environment
Proficiency with AI tools in daily technical work

Preferred Requirements:

Relevant certifications: GCP Professional Cloud Security Engineer, Azure Security Engineer, AWS Security Specialty, CompTIA Security+, or equivalent
Experience with container orchestration and container security (Kubernetes, Cloud Run, Docker, or similar)
Experience with service mesh, network policies, or micro-segmentation
Background supporting regulated workloads in healthcare or financial services
Experience with SIEM platforms, vulnerability scanning tools, or penetration testing coordination
Experience with system performance monitoring, availability engineering, and cost optimization
Familiarity with compliance evidence collection and audit support at the infrastructure level
Background with configuration management tools (Ansible, Chef, Puppet, or similar)

Benefits

Base salary: Approximately $28,000–$35,000 USD per year (calibrated for target regions).
Performance bonus: Opportunity to earn up to 100% of base salary in performance-based bonuses.
Salary and total compensation depend on experience, location, and demonstrated performance during the hiring process.

Originally posted on Himalayas

Job Description

About the Company

Mission: Help organizations win the AI moment.

Position Overview

The company is AI-first. You should already be using AI tools to write scripts, analyze logs, generate documentation, and accelerate your engineering work.

Requirements

Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or equivalent experience
2–5 years of experience in one or more of the following areas:

Cloud engineering and infrastructure management (GCP, Azure, or multi-cloud)
DevOps, site reliability engineering, or platform engineering
Infrastructure security and cloud security implementation
CI/CD pipeline management and deployment automation

Hands-on experience managing cloud environments across GCP and Azure (multi-cloud experience required)
Proficiency with infrastructure-as-code tools (Terraform, Pulumi, or similar)
Experience building and securing CI/CD pipelines
Working knowledge of cloud security fundamentals: IAM policies, network segmentation, firewall rules, encryption at rest and in transit
Scripting ability in Python, Bash, or similar languages
Experience configuring and managing security monitoring and alerting systems
Ability to support internal IT operations: access management (SSO, MFA, RBAC), endpoint security, and onboarding automation
Familiarity with compliance requirements at the infrastructure level (HIPAA, SOC 2 preferred)
Strong documentation skills and ability to maintain clear infrastructure and security records
Comfortable working autonomously in a fast-paced, fully remote, distributed environment
Proficiency with AI tools in daily technical work

Preferred Requirements:

Relevant certifications: GCP Professional Cloud Security Engineer, Azure Security Engineer, AWS Security Specialty, CompTIA Security+, or equivalent
Experience with container orchestration and container security (Kubernetes, Cloud Run, Docker, or similar)
Experience with service mesh, network policies, or micro-segmentation
Background supporting regulated workloads in healthcare or financial services
Experience with SIEM platforms, vulnerability scanning tools, or penetration testing coordination
Experience with system performance monitoring, availability engineering, and cost optimization
Familiarity with compliance evidence collection and audit support at the infrastructure level
Background with configuration management tools (Ansible, Chef, Puppet, or similar)

Benefits

Base salary: Approximately $28,000–$35,000 USD per year (calibrated for target regions).
Performance bonus: Opportunity to earn up to 100% of base salary in performance-based bonuses.
Salary and total compensation depend on experience, location, and demonstrated performance during the hiring process.

Originally posted on Himalayas