Remote: Yes
Willing to relocate: depends
Technologies: Python, Pipelines/Jenkins/Ansible, SQL, window/Linux Administration,Containers/Orchestration
Resume: On request
Email: [email protected]
Site Reliability Engineer with deep expertise in observability, incident response, and production resilience across large scale distributed systems.
Proven in reducing MTTR, hardening SLAs, and building monitoring, alerting, and automation using cloud native stacks.
Focused on reliability engineering, cost efficiency, and high availability in Azure, GCP, AWS, Kubernetes, and modern DevOps environments.
Look for startups that have recently secured funding. Startups that have recently raised funds may have a bit more stability than those that are still trying to secure their first round of funding. You can look for news articles or press releases about funding rounds to find out which startups have recently raised money.
Check out startup databases. There are several databases that track startups and provide information about their funding, team, and products. Some popular ones include Crunchbase, AngelList, and CB Insights. These platforms allow you to search for startups based on various criteria such as industry, funding stage, and location.
Attend industry events and conferences. Industry events and conferences are great places to meet founders and employees of mid-stage startups. You can network with them and learn more about their company culture and opportunities. Some popular events and conferences for startups include TechCrunch Disrupt, Startup Grind, and Collision.
Recently went to India, there is lot of changes to the roads and lane system is being followed on highways as far I have seen, this is in Hyderabad. One of the major causes for these accidents are drunk and drive but now it's changing with hefty fines.
Because if you rate 1 star that is going to their annual performance, it is very stressful job to work at aws support, in an year you would have to be get 4.8 overall rating which is very hard to get because for the most part customers doesn't rate when they had good experience.
When I worked in aws, this is primarily used to check for permissions of an object. I know how dumb customers can be, for the most part this is used to see why a customer cannot delete a bucket or object those sort of things. I don't remember having ability to see actual customers data only metadata is accessible.
Edit: Based on what I know, I'm pretty sure support will not be able see any of the customers data.
Proven in reducing MTTR, hardening SLAs, and building monitoring, alerting, and automation using cloud native stacks. Focused on reliability engineering, cost efficiency, and high availability in Azure, GCP, AWS, Kubernetes, and modern DevOps environments.