Senior AI and DevOps Engineer (Remote |UK Timezone)

Compensation: No equity

Please find the Job Description (JD) attached for your reference. Senior DevOps Engineer Location: Remote (Must be available to work in 2:30 PM - 11 PM ISt hours) Experience Required: 8+ Years Department: Engineering Employment Type: Full-Time

Role Overview Ekshvaku Tech Innovations is looking for a highly experienced Senior DevOps Engineer who excels at building scalable, automated, and resilient infrastructure for modern distributed systems and AI-driven platforms. You will lead DevOps strategy, modernize our infrastructure, and ensure high performance across multi-environment deployments. This role requires strong hands-on expertise, architectural thinking, excellent documentation discipline, and the ability to collaborate with cross-functional engineering teams.

Key Responsibilities

CI/CD & Automation • Design, implement, and maintain scalable CI/CD pipelines for Prerel, QA, and Production. • Continuously improve build, release, and deployment workflows. • Reduce manual ops through automation and scripting. Infrastructure Engineering • Automate provisioning and configuration using Terraform, Ansible, and similar IaC tools. • Architect, deploy, and maintain cloud infrastructure (AWS/GCP). • Lead modernization initiatives: containerization, orchestration, microservices optimization. • Implement high availability setups, DR strategies, and cost-optimized infrastructure. AI/ML Operations • Support AI/ML model training and deployment pipelines. • Manage GPU orchestration and scalable model-serving environments. • Work closely with AI and Data Engineering teams.

Monitoring, Security & Observability • Implement centralized monitoring, logging, and alerting systems. • Improve system reliability and incident response times. • Ensure cloud security best practices (IAM, network security, zero-trust). • Contribute to compliance efforts for HIPAA, SOC2, ISO 27001. Documentation & Collaboration • Maintain clear documentation, runbooks, and architecture diagrams. • Collaborate with Engineering, Product, QA, and AI teams. • Evaluate new DevOps tools and AI-powered automation capabilities.

Required Skills & Experience • 8+ years in DevOps or Cloud Infrastructure roles. • Strong expertise in GitHub Actions and CI/CD pipeline architecture. • Deep understanding of AWS or GCP (VPC, IAM, security, autoscaling). • Production-level experience with Docker & Kubernetes (EKS/GKE). • Proficiency in scripting: Python, Bash, or Go. • Strong experience with Terraform, Ansible, CloudFormation. • Solid understanding of monitoring tools (Prometheus, Grafana, CloudWatch, ELK). • Experience supporting AI/ML pipelines (MLflow, Kubeflow, SageMaker, Vertex AI). • Knowledge of security best practices & compliance frameworks. • Excellent communication and documentation skills. Preferred Qualifications • Experience with GPU workloads and ML orchestration. • Knowledge of event-driven or serverless architectures (Lambda, Cloud Run). • Exposure to GitOps tools (Argo CD, Flux). • Background in AIOps (Dynatrace Davis, New Relic AI). • AWS DevOps Engineer Professional or equivalent certification.

Success Indicators • 90%+ reduction in manual deployment tasks within 6 months. • Fully standardized infrastructure documentation across all environments. • Reduced downtime and faster incident resolution through observability. • Improved developer velocity and increased deployment frequency. • Adoption of AI-assisted automation and predictive monitoring.