Senior DevOps Engineer

**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior DevOps Engineer based in India.** This is an exciting opportunity to join a fast-growing, innovation-driven environment focused on building secure and scalable AI-powered solutions for enterprise use cases. The role offers the chance to design and manage modern cloud infrastructure supporting mission-critical applications and machine learning workloads across multi-cloud environments. Working at the intersection of DevOps, cloud engineering, and AI infrastructure, the successful candidate will play a key role in ensuring reliability, performance, and operational excellence. This position is ideal for professionals who thrive in fast-paced settings and enjoy solving complex infrastructure challenges. You will collaborate closely with engineering, security, and machine learning teams to build resilient systems that support cutting-edge technologies. The role combines hands-on technical ownership with the opportunity to shape infrastructure strategy in a rapidly evolving environment. ### Accountabilities: - Design, build, and maintain scalable cloud infrastructure across AWS, Google Cloud Platform, and Azure environments. - Develop and optimize CI/CD pipelines to enable efficient code integration, testing, and automated deployments. - Implement Infrastructure as Code practices using tools such as Terraform to ensure consistency, repeatability, and scalability. - Containerize applications and manage orchestration platforms using Docker and Kubernetes. - Build and operate monitoring, logging, observability, and alerting frameworks to ensure high availability and proactive issue resolution. - Manage secure, private, and VPC-isolated enterprise deployments with strong emphasis on security, compliance, and audit readiness. - Collaborate with machine learning teams to deploy and scale AI training and inference workloads, including GPU-enabled infrastructure when required. - Partner with engineering and security stakeholders to improve infrastructure resilience, operational processes, and cloud cost efficiency. - Maintain technical documentation and establish best practices for infrastructure operations and platform management. ## Requirements - Minimum of 3 years of experience in DevOps, Cloud Infrastructure, Site Reliability Engineering, or related disciplines. - Strong hands-on expertise with at least one major cloud platform, including AWS, GCP, and/or Microsoft Azure. - Solid experience with containerization and orchestration technologies such as Docker and Kubernetes. - Proven ability to design and manage CI/CD pipelines using GitHub Actions or similar automation tools. - Practical experience with Infrastructure as Code frameworks, particularly Terraform. - Strong understanding of networking concepts, including VPCs, cloud security groups, and cloud-native services. - Experience managing production-grade environments with a focus on scalability, reliability, security, and performance optimization. - Knowledge of monitoring, logging, and observability platforms and best practices. - Familiarity with GPU infrastructure and machine learning workload deployment is considered a strong advantage. - Excellent troubleshooting, analytical thinking, and problem-solving capabilities. - Strong communication skills in English, with the ability to collaborate effectively across distributed teams. ## Benefits - Fully remote opportunity offering flexibility and work-life balance. - Opportunity to work on cutting-edge AI and enterprise technology solutions. - Exposure to multi-cloud architectures and advanced DevOps practices. - Collaborative and high-growth environment with significant ownership and autonomy. - Opportunity to work closely with engineering, security, and AI teams on impactful projects. - Fast-paced startup culture that encourages innovation, continuous learning, and professional development. -…