S

Selector Software

AI-driven network observability and AIOps platform

DevOps/Site Reliability Engineer

Site Reliability Engineering +1Confirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedRemote

About the Job

Requirements

  • A bachelor's degree or higher in a relevant field.
  • Understanding of Kubernetes operations.
  • Experience with multi-node Kubernetes deployments in EKS, GKE, AKS, and RKE2.
  • Expertise with infrastructure automation tools such as Terraform, Ansible, or Chef.
  • Proficiency in scripting languages such as Python, Bash, or PowerShell.
  • In-depth knowledge of Linux operating systems.
  • Strong troubleshooting and problem-solving skills.
  • Strong communication and collaboration skills.
  • Ability to work independently and as part of a team.

Responsibilities

  • Design, implement, and maintain platform infrastructure using infrastructure-as-code tools such as Terraform or Ansible.
  • Automate software deployments and configuration management using tools such as GitOps or Kubernetes.
  • Configure and manage monitoring tools to proactively identify and troubleshoot performance issues.
  • Implement incident-response procedures to ensure rapid resolution of service disruptions.
  • Collaborate with the development team to integrate continuous integration and continuous delivery pipelines for faster and more reliable deployments.
  • Stay current with DevOps and AIOps trends and technologies.
  • Participate in code reviews and contribute to the platform's overall code quality.

About the Company

Selector Software

AI-driven network observability and AIOps platform

Selector AI provides an AI-driven observability and network intelligence platform that unifies monitoring and automates root-cause analysis for large enterprises. The platform ingests and correlates metrics, logs, events, and configurations from hundreds of sources to deliver actionable insights through a single interface, eliminating the need for multiple siloed tools. It includes Selector Copilot, a Network Language Model for natural language queries, and a Digital Twin to visualize dependencies and simulate changes, along with AI-powered root-cause analysis. Offered as SaaS with on-premises or VPC-hosted options, the company aims to reduce downtime and MTTR for Fortune 1000 customers while expanding AI capabilities and its global footprint.

Company size
51-200
Company stage
Late Stage VC
Total funding
$98M
Headquarters
Santa Clara, CA
Founded
2019

Recently Posted Jobs

Explore more opportunities at Selector Software

See more jobs