Senior Site Reliability Engineer – SRE, DevOps

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qode.world

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

👥 HR Tech

🎯 Recruiter

Artificial Intelligence • HR Tech • Recruitment

qode. world is a company that leverages artificial intelligence to revolutionize the recruiting process. Their platform allows users to find candidates by sourcing data from billions of data points worldwide and provides data-driven insights. Users can connect with candidates directly through the platform, conduct customized AI-led interviews, and get comprehensive assessments. The service also integrates easily with LinkedIn, enhancing the talent pool and facilitating direct communication with candidates listed there. Qode. world offers additional recruiting services to assist in hiring for niche or senior roles. They are praised for their effectiveness in streamlining the hiring process and delivering quick results.

📋 Description

• Design and operate secure, scalable, and high-quality infrastructure that supports modern applications and advanced AI workloads • Build and maintain robust automation across CI/CD pipelines, infrastructure provisioning, and operational processes to improve reliability and minimize manual effort • Integrate AI-driven solutions into operational workflows to enhance efficiency, detect anomalies, and accelerate delivery • Apply strong systems engineering practices, including monitoring, incident management, performance optimization, and capacity planning • Establish and uphold DevOps best practices, ensuring reproducibility, testing, documentation, and operational excellence • Communicate technical decisions clearly and collaborate cross-functionally to support predictable delivery and effective problem-solving • Provide mentorship and technical leadership, raising the level of platform engineering, DevOps maturity, and overall engineering quality across the organization

🎯 Requirements

• 6+ years of progressive experience in DevOps, Site Reliability Engineering (SRE), Platform Engineering, or Infrastructure Engineering. • Strong, hands-on experience across multi-cloud environments (AWS, GCP, Azure), including expertise in networking, compute, storage, security, and cost optimization. • Deep expertise in containerization and orchestration and extensive experience with Infrastructure as Code (IaC) (e.g., Terraform, Pulumi, CloudFormation). • Experience supporting or deploying AI/ML workloads (e.g., model inference, vector databases, GPU workloads), or strong familiarity with the infrastructure requirements for these systems. • Proven ability to design, build, and operate highly reliable, scalable production systems utilizing advanced Zero-Downtime Deployment Patterns (e.g., Blue/Green, Canary, progressive delivery, Preview Environments). • Expertise in modernizing deployments via GitOps practices (e.g., ArgoCD, Flux) and building Self-Service Developer Platforms that enable engineering efficiency (e.g., environment automation, internal tooling). • Experience implementing and managing Multi-Cloud API Gateways and Edge Routing solutions. • Strong background in platform security, including secrets management, Identity and Access Control (IAM), and Runtime/Security Hardening. • Solid understanding and practical experience with modern observability stacks. • Excellent communication and collaboration skills with a proven ability to describe complex infrastructure decisions clearly and a background in mentoring engineers and driving improvements in engineering practices. • Familiarity with modern programming languages like Node.js, NestJS, and Python is highly desirable for extending DevOps capabilities or integrating tooling.