Job Description

optimizationperformance Required Skills & Experience: 7+ years of hands-on experience in DevOps and Cloud technologies Deep expertise in at least one major cloud platform: AWS , Azure , or GCP Proven experience in managing high-scale production workloads Extensive, hands-on experience with Kubernetes in production environments including deployment, scaling, monitoring, and troubleshooting Strong knowledge of infrastructure automation tools such as Terraform , Pulumi , CloudFormation , and Helm Solid debugging and troubleshooting skills across infrastructure and applications Deep working knowledge of Linux systems and networking concepts Proficiency in at least one scripting or programming language: Python , Shell , Go , or Java Experience with monitoring and observability tools like DataDog , New Relic , ELK , Prometheus/Grafana Familiarity with modern cloud-native architecture patterns including microservices , RESTful APIs , etc. Strong problem-solving mindset and the ability to thrive in a fast-paced, dynamic environment Key Responsibilities Design and implement secure, resilient, and highly scalable infrastructure Lead infrastructure automatio n, including provisioning, capacity planning, demand forecasting, and cost optimization Develop automation tools and frameworks to improve system observability, reliability, availabilit y, and performance Ensure application scalability and performance by adhering to cloud-native architecture best practices Set high standards for engineering through code review s, documentatio n, and building self-service automation tool Participate in and drive blameless postmortem s and sustainable incident response practice s