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Conviva

Real-time video analytics for engagement

Staff DevOps Engineer

Cloud EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of experience in a DevOps, Site Reliability, or Systems Engineering role.
  • Hands-on experience with Terraform or OpenTofu.
  • Strong Linux administration and networking fundamentals, including DNS, TCP/IP, firewalls, and routing, across cloud and physical hardware.
  • Foundational or deep experience with at least one major cloud platform: AWS, GCP, or OCI, plus a conceptual understanding of translating those skills to other platforms.
  • Experience with Docker and Kubernetes, managed or bare-metal.
  • Ability to learn a new cloud provider or tool quickly and apply it effectively.
  • Ability to investigate application failures at the operating-system or network level.
  • Preference for automating manual, repetitive tasks.

Responsibilities

  • Assist in managing, scaling, and maintaining on-premises infrastructure while expanding and supporting environments across AWS, GCP, and OCI.
  • Design, implement, and audit secure authentication and authorization workflows using OIDC, SAML, Cloud IAM, and least-privilege policies across hybrid environments.
  • Build, maintain, and optimize CI/CD pipelines for safe, repeatable, and rapid code deployments.
  • Set up monitoring, logging, and alerting systems and investigate root causes in distributed systems.
  • Integrate security practices into the infrastructure lifecycle, including vulnerability scanning, secrets management, and compliance-as-code.
  • Research, propose, and implement modern tools and methodologies.

Desired Qualifications

  • Familiarity with monitoring tools such as Prometheus, Grafana, ELK, or OpenSearch; CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins; and secrets-management tools such as HashiCorp Vault.

About the Company

Conviva

Real-time video analytics for engagement

Conviva provides real-time video analytics for streaming services, broadcasters, and advertisers to improve viewer engagement and monetization. It works by analyzing over 1 trillion data events per day across 180 countries using artificial intelligence, monitoring content and ad performance, detecting quality-of-experience issues, and delivering actionable insights through cross-platform dashboards, including specialized analytics for social media like TikTok and Instagram. It differentiates itself with massive-scale, AI-driven data processing, cross-device and cross-platform visibility, and customized analytics solutions offered on a subscription basis. Its goal is to help clients optimize the viewer experience and maximize revenue and return on investment by turning data into decisions.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$110M
Headquarters
Foster City, CA
Founded
2006

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