Job summary
Job post source
This job is directly from SME Work
Job overview
The AI-Augmented Infrastructure-as-Code Specialist role at SME Work focuses on developing and optimizing AI training content for declarative, scalable infrastructure, integrating AI with Infrastructure-as-Code practices to enhance automation and compliance.
Responsibilities and impact
The specialist will create AI training prompts for infrastructure definition, simulate real-world automated infrastructure scenarios, evaluate AI outputs for compliance and resilience, and ensure model integrity by embedding fail-safes and validating secure infrastructure design.
Experience and skills
Candidates must have strong Infrastructure-as-Code expertise, experience with declarative automation tools like Terraform or CloudFormation, knowledge of policy-as-code and compliance automation, and proficiency in English; familiarity with AI tools for IaC optimization and compliance-as-code is preferred.
Work environment and culture
The role emphasizes working in a high-autonomy, asynchronous, remote environment, valuing independence and self-motivation.
Company information
SME Work is the hiring company, likely focused on AI and infrastructure innovation, as indicated by the specialized role and emphasis on AI-optimized infrastructure solutions.
Job location and travel
This is a remote, contract position allowing work from any location with asynchronous communication.
Unique job features
This position uniquely combines Infrastructure-as-Code expertise with AI training development, focusing on declarative, verifiable infrastructure and AI-assisted tooling for cutting-edge automation and compliance.
Company overview
SME Work is a technology-driven company focused on providing digital solutions and business management tools tailored for small and medium-sized enterprises. The company generates revenue primarily through subscription-based software services, offering platforms for workflow automation, HR management, and financial operations to help SMEs streamline their processes. Founded with the mission to empower smaller businesses with enterprise-level technology, SME Work has positioned itself as a key enabler in the digital transformation of emerging markets. Notably, the company emphasizes user-friendly interfaces and scalable solutions, making it accessible for businesses with limited IT resources. Candidates should be aware of SME Work’s commitment to innovation and its role in supporting entrepreneurship and operational efficiency for SMEs.
How to land this job
Tailor your resume to emphasize your expertise in Infrastructure-as-Code (IaC) with a strong focus on declarative, verifiable, and AI-optimized infrastructure definitions as described in the job posting at SME Work.
Highlight your experience translating complex cloud architectures into scalable, repeatable, and testable configurations, and your proficiency with tools like Terraform, Pulumi, or AWS CloudFormation, which are key for this role.
Apply through multiple channels such as SME Work's official corporate website and LinkedIn job postings to maximize your application exposure and chances of selection.
Connect with professionals in SME Work's AI or DevOps divisions on LinkedIn; start conversations by referencing their recent AI infrastructure projects or by asking how they integrate AI into Infrastructure-as-Code workflows to break the ice.
Optimize your resume for ATS by incorporating keywords from the job description such as 'Infrastructure-as-Code,' 'Terraform,' 'policy-as-code,' 'compliance automation,' 'CI/CD pipeline integration,' and 'infrastructure drift detection' to ensure it passes automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate applying across multiple platforms, tailor your resume with relevant keywords, and identify LinkedIn contacts for networking, allowing you to focus your time on preparing for interviews and refining your skills.
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