Cloud Security, DevOps Engineer

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Ajaia | AI Consultancy

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

💼 Consulting

🏢 Enterprise

Artificial Intelligence • Consulting • Enterprise

Ajaia is an enterprise AI consulting and implementation firm that helps organizations move from AI experimentation to production. The company provides AI strategy and advisory, workforce training and enablement, workflow and process optimization, custom AI development, AI engineering and automation (including agents, RPA, and cross-system integrations), and secure enterprise deployments across regulated industries such as healthcare, financial services, education, and government. Ajaia also offers products like an AI due-diligence tool for M&A, multi-model AI platforms, and industry-focused AI applications, emphasizing responsible AI governance, private deployments, and measurable ROI.

📋 Description

• Manage and secure the company's multi-cloud infrastructure across GCP and Azure. • Configure infrastructure, enforce security controls, and manage deployment pipelines. • Build automation that reduces manual overhead across IT and security operations. • Support compliance requirements (HIPAA, SOC 2) at the infrastructure level. • Think about security as part of every system you build or maintain. • Handle internal IT operations: access management, endpoint security, onboarding automation. • Use AI tools for scripting, analyzing logs, generating documentation, and accelerating engineering work. • Utilize AI in daily workflows across research, ideation, drafting, design iteration, quality checks, and delivery acceleration.

🎯 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 • 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.