AWS /DevOps Engineer (Platform & Enterprise Systems)

Job Description:

Qualifications:

The ideal candidate will have a strong background in production monitoring, a deep understanding of development and operations, and a proven track record in managing and scaling distributed systems in a public, private, or hybrid cloud environment for e-commerce / retail platforms.
Understanding of SRE & DevOps principles, including monitoring, alerting, fault analysis, and other common reliability engineering concepts, with a keen eye for opportunities to eliminate toil by code and process improvements.
Expertise in infrastructure as code (IAC), build automation, source control, and CI/CD tools (e.g., Terraform, CloudFormation, GitHub, Artifactory, Jenkins).
Deep understanding of containerization and orchestration technologies (e.g., Docker, Kubernetes).
Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk, New Relic, Sumo Logic) and incident response processes.
Proficient in modern Java, React, NodeJS, and scripting languages such as Python, and Bash.
High-level understanding of the different layers of the Tech stack and how they come together to provide a service (e.g. network, compute, storage, OS (Linux, Windows), supporting services, application layer).

Knowledge in CDN technology as well

Responsibilities:

Key measures of success will include platform stability, effective integration and delivery, instrumentation, release quality, technical debt(toil) reduction, development of automation, risk/security compliance, and sustained advancement of the SRE & DevOps practice.
Design & implement scalable, automated, monitored, and well-documented systems to accelerate the development of the services running in the AWS cloud.
Configure, tune, and fix multi-tiered systems to achieve optimal application performance, stability, and availability.
Be part of an on-call rotation providing hands-on technical expertise during service-impacting events.
Apply troubleshooting skills, debugging tools, and examine logs, telemetry, and other methods to verify assumptions and customer impact. Lead blameless postmortems for root cause and production resiliency.