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- Work closely with Dev and resolve any bottlenecks.
- Ready to be Oncall as per the rotation.
- Debug product issues during outages.
- Set up CI/CD pipelines for new projects.
- In Partnership with engineering leadership, will work to build the Service level indicators (SLI), Service Level Objectives (SLO), Service level agreements (SLAs), and Error budgets.
- Manage 24/7 production support ensuring all production issues are resolved quickly; ensure RCA and fixes to ensure these do not recur in the future.
- Work handinhand with the frontend and backend engineering teams to reduce or eliminate any repetitive or manual tasks, improving health and performance issues of the businesses' sites/software systems.
- Ensure that development environments (local, dev, staging, QA, etc) are all set up and updated automatically.
- Infrastructure Maintenance, Security & Compliance.
- Should have handson experience managing productiongrade Kubernetes clusters.
- Should have assisted in at least 2 migrations in their careers migrations ( Cloud, databases, Container Orchestration, API Gateways, etc ).
- Should have experience in managing the cloud infrastructure for SAAS companies.
- Should have deep understanding and experience in docker and Kubernetes orchestration.
- Should have experience in managing microservices.
- Should have a deep understanding of cloud infrastructure security and should have been responsible or at least assisted in security and compliance audits
- Should have seen and handled low latency and high request volume requirements.
- Should have an understanding of open source vs SAAS observability platforms.
Principal Engineer - Bengaluru, India - Zyoin group
Description
Responsibilities :
Requirements :
Logging :
Graylog with Elastic Search.
Backend Monitoring :
Datadog.
Ci/Cd :
BitBucket / Gitlab / Jenkins.
Container Orchestration :
Kubernetes.
IAAS :
Terraform.
Languages :
Python/Flask.
Api Gateway :
Kong.
Configuration Management :
Aws System Manager Serverless : Lamda, Fargate, etc.
Messaging :
Confluent Kafka.
Databases :
Atlas Mongo, RDS.
Location :
Bangalore.
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