Senior DevOps Engineer

Inspeq AI is seeking a highly skilled Senior DevOps Engineer with extensive experience in cloud platforms, infrastructure automation, and modern DevOps practices to join our dynamic team. This role focuses on building and maintaining robust cloud infrastructure, implementing security best practices, and driving automation across our technology stack. You will architect scalable solutions, manage multi-cloud environments, and establish DevOps best practices while ensuring high availability and security of our AI platforms. This job requires an important blend of Infrastructure Automation (40%), Platform Engineering (30%), Security & Compliance (15%), and Performance Optimisation (15%). Key Responsibilities • Design and implement cloud infrastructure using Infrastructure as Code principles • Architect and maintain CI/CD pipelines for complex microservices deployments • Establish and maintain security best practices across cloud environments • Implement and manage container orchestration platforms and service mesh • Develop automation scripts and tools for infrastructure management • Design and implement monitoring, logging, and alerting solutions • Manage and optimise multi-cloud infrastructure costs • Lead incident response and implement disaster recovery solutions • Automate security compliance and governance processes • Implement GitOps practices for infrastructure management • Optimise system performance and resource utilisation • Mentor junior team members on DevOps best practices Required Skills • Strong experience with major cloud platforms (AWS, GCP, Azure) • Expertise in Infrastructure as Code using Terraform or CloudFormation • Advanced knowledge of Kubernetes and container orchestration • Proficiency in scripting languages (Python, Bash, Go) • Experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions) • Strong background in system security and compliance • Experience with monitoring tools (Prometheus, Grafana, ELK stack) • Knowledge of service mesh technologies (Istio, Linkerd) • Expertise in Git and GitOps workflows • Strong understanding of networking and security principles • Experience with configuration management tools (Ansible, Chef, Puppet) • Solid understanding of DevSecOps practices • Having understanding MlOps will be a plus • Experience with cloud cost optimisation Preferred Qualifications • Bachelor's/Master's in Computer Science or related field from a Tier-1 college • 7+ years of overall IT experience • 5+ years of dedicated DevOps experience • Cloud certifications (AWS, Azure, or GCP) • Experience with AI/ML infrastructure management • Strong problem-solving and communication skills What We Offer • Competitive salary and benefits package • Opportunity to work on innovative projects with cutting-edge technologies in AI • A global team with a collaborative and inclusive team environment • Professional growth and development opportunities • Flexible work arrangements Closing Date: Friday the 28th March 2025