Building High-Availability Solutions

2 days ago

Kannur, Kerala, India beBeeInfrastructure Full time ₹ 90,00,000 - ₹ 1,40,00,000
Software Systems Engineer Role

As a Software Systems Engineer, you will play a key role in ensuring the high availability and performance of our suite of solutions.

  • Design, deploy, and manage scalable, secure, and cost-effective infrastructure on AWS.
  • Implement security best practices across infrastructure, applications, and APIs.

You will collaborate with development teams to optimize application infrastructure, manage incidents, and provide escalation support as required.

Key Responsibilities
  • Cloud Infrastructure Management:
    • Design, deploy, and manage scalable, secure, and cost-effective infrastructure on AWS.
    • Familiar with ECS/EKS, CloudFormation and CloudTrail.
    • Ensure high availability, autoscaling, performance monitoring, and cost optimization across environments.
  • Security & Compliance:
    • Implement security best practices across infrastructure, applications, and APIs.
    • Manage IAM roles and policies, enforce least privilege access and regularly audit permissions.
    • Configure security groups, NACLs and VPC flow logs to control and monitor traffic.
  • Monitoring and Troubleshooting:
    • Perform log analysis and implement monitoring tools to ensure application health.
    • Troubleshoot production issues and provide on-call support.
  • Database Management:
    • Administer Postgres and Redis databases, including upgrades, backups, and performance tuning.
  • Incident Management & RCA:
    • Lead incident response efforts and implement preventive actions to reduce MTTR.

As a member of our Application Health and Monitoring team, you will be responsible for ensuring the high availability and performance of our suite of solutions. If you thrive in a fast-paced environment and want to be part of a world-class team, this role is ideal for you.

Requirements
  • Experience with IaaS and PaaS cloud platforms (AWS, Azure, Heroku).
  • Expertise in monitoring tools and log analysis (AWS CloudWatch, DataDog, Logtail).
  • Familiarity with DevOps concepts, including Docker and Kubernetes.

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