Site Reliability Engineer

We are seeking a highly skilled and motivated Site Reliability Engineer (SRE) to join our team. In this critical role, you will collaborate closely with software developers and operations teams to ensure high reliability, scalability, and efficiency of our systems, with a strong focus on meeting and exceeding customer expectations. Your expertise will be crucial in deploying, maintaining, and automating our infrastructure and application environments to ensure seamless user experiences. Your proactive involvement will be key to enhancing system reliability, optimizing resource utilization, and ensuring continuous improvement in our operational practices. Your responsibilities will include defining and tracking Service Level Objectives (SLOs), managing error budgets, and reducing toil through automation. You will play a pivotal role in driving the success of technology initiatives, maximizing their impact across the organization, and ensuring that solutions consistently meet the high standards our customers expect. Responsibilities Collaborate with development security quality and operation teams to implement SRE practices and ensure system reliability Define and support the required level of reliability availability and performance for services and applications Design and deliver Cloud-based solutions tailored to client needs Troubleshoot mitigate and support fixing of the infrastructure and application issues in a timely manner Implement a monitoring system for the infrastructure and application reliability Communicate technical concepts clearly to both engineering teams and management stakeholders Requirements Bachelor’s degree in Computer Science Engineering or a related field Proven experience in any cloud AWS/GCP/Azure Experience with implementing SRE practices such as SLO/SLI Error budgets Postmortems Reducing Toil capacity planning and Incident Management Python or other scripting/programming language Strong background in monitoring tools Proficient in CI/CD tools infrastructure as code and configuration management Solid knowledge of container orchestration technologies Kubernetes Docker Nice to have Expertise in deployment and management of LLMs including technologies like RAG Certification in Kubernetes AWS/GCP/Azure or similar technologies Proven experience in DevOps Knowledge of managing and optimizing AI/ML models in production environments including basic deployment monitoring and maintenance