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 automation, including provisioning, capacity planning, demand forecasting, and cost optimization
Develop automation tools and frameworks to improve system observability, reliability, availability, and performance
Ensure application scalability and performance by adhering to cloud-native architecture best practices
Set high standards for engineering through code reviews, documentation, and building self-service automation tool
Participate in and drive blameless postmortems and sustainable incident response practices
Job Classification
Industry: Internet (E-Commerce) Functional Area / Department: Engineering - Software & QA Role Category: DevOps Role: DevOps Engineer Employement Type: Full time