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HighRadius

AI-driven SaaS for order-to-cash

Site Reliability Engineer

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 7 years of industry experience.
  • Expertise in at least one major cloud platform: Amazon Web Services, Azure, or Google Cloud Platform.
  • Extensive experience with Docker containerization and Kubernetes orchestration.
  • Proficiency in shell and Python scripting.
  • Experience with Ansible or Puppet configuration management tools.
  • Exposure to Infrastructure as Code tools such as Terraform or CloudFormation.
  • Experience setting up and configuring monitoring tools such as Prometheus, Grafana, or the ELK stack.
  • Hands-on experience implementing OpenTelemetry for observability.
  • Strong understanding of service-level indicators, service-level objectives, service-level agreements, and error budgeting.
  • Proficiency in on-premises hosting and virtualization platforms such as VMware, Hyper-V, or KVM.
  • Understanding of storage internals, including NAS, SAN, EFS, and NFS, and protocols including FTP, SFTP, SMTP, NTP, DNS, and DHCP.
  • Experience with networking and firewall technologies.
  • Strong hands-on experience with Linux internals and operating systems such as RHEL, CentOS, and Rocky Linux.
  • Experience with Windows operating systems supporting diverse environments.
  • Effective communication and interpersonal skills for teamwork; a proactive, adaptable mindset; willingness to learn new skills; ability to consider broader system impacts; and willingness to advocate for reliability initiatives.

Responsibilities

  • Design, build, and maintain resilient cloud infrastructure solutions supporting the development and deployment of scalable and reliable applications.
  • Manage and optimize cloud platforms for high availability, performance, and cost efficiency.
  • Establish and manage monitoring and alerting systems to detect and respond proactively to anomalies and performance issues.
  • Use service-level indicators, service-level objectives, and service-level agreements to measure and improve reliability; identify and resolve bottlenecks and other areas for improvement.
  • Contribute to infrastructure automation, provisioning, and standardization of resources and system configurations.
  • Identify and implement automation for repetitive tasks to reduce operational overhead; develop Standard Operating Procedures and automate workflows using tools such as Rundeck or Jenkins.
  • Participate in major incident response and resolution, conduct root cause analyses, and implement permanent solutions in production environments.
  • Work with stakeholders and cross-functional teams, including software engineers, to integrate cloud solutions, gather requirements, and execute proofs of concept.
  • Guide designs and processes toward resilience and reduced manual effort; promote common tooling and components; and implement software and tools to enhance resilience and automate operations.
  • Adopt new tools and approaches as needed.

Desired Qualifications

  • Experience with DevOps toolchain elements such as Git, Jenkins, Rundeck, ArgoCD, or Crossplane.
  • Experience with database management, particularly MySQL and Hadoop.
  • Knowledge of cloud cost management and optimization strategies.
  • Exposure to generative AI.
  • Understanding of cloud security best practices, including data encryption, access controls, and identity management.
  • Experience implementing disaster recovery and business continuity plans.
  • Familiarity with Information Technology Infrastructure Library processes.

About the Company

HighRadius

AI-driven SaaS for order-to-cash

HighRadius provides cloud-based, AI-driven automation for finance operations, focusing on order-to-cash and treasury management. Its SaaS platform includes modules like Collections Cloud, Credit Cloud, Deductions Cloud, and Cash Application Cloud that automate tasks such as collections, credit management, deductions, and cash posting, while its AI engine offers predictive insights and a virtual assistant to speed daily work. The solution targets large enterprises, including Fortune 1000 companies, with an integrated end-to-end automation suite and ongoing professional services and support. Its goal is to improve financial process efficiency, cash flow, and accuracy by automating repetitive tasks and delivering actionable insights.

Company size
1,001-5,000
Company stage
Series C
Total funding
$475M
Headquarters
Houston, TX
Founded
2006

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