Senior DevOps Engineer

Deepdub is building the voice layer of AI and disrupting traditional voice-based markets with our proprietary eTTS™ GenAI voice model. Leading in dubbing and expanding into the AI-based next generation of voice experiences - voice agents, enterprise APIs, and real-time multilingual broadcasting. Deepdub is a market leader in generative AI voice solutions. Our SaaS platform and API deliver high-quality voices across more than 130 languages and are validated by Fortune 500 enterprises. By joining Deepdub, you'll be part of a dynamic team driving a revolution in voice-based markets and helping stories resonate worldwide with authenticity and emotional depth.

About the role:

We are looking for a Senior DevOps Engineer to join our Engineering team and help design, build, scale, and operate the infrastructure behind our real-time services. This is a hands-on engineering role for someone who enjoys working closely with software engineers, improving developer velocity, and owning production reliability end to end.

Responsibilities:

• Work as an integral part of the Engineering team, collaborating closely with backend, platform, AI, and product engineers.
• Design, build, and maintain cloud infrastructure on AWS.
• Manage and scale production workloads running on Kubernetes.
• Build and improve CI/CD pipelines, deployment workflows, and infrastructure automation.
• Develop internal tools and automation using Python and/or Golang.
• Support real-time production services with a strong focus on reliability, latency, availability, and scalability.
• Own monitoring, alerting, logging, and incident response processes.
• Improve system observability and proactively identify production risks.
• Build and maintain infrastructure for agentic workflows, automation agents, and AI-driven operational processes.
• Partner with engineering teams to improve developer experience, deployment velocity, and production stability.
• Participate in architecture discussions and help define infrastructure best practices across Engineering.
  
  

• 5+ years of experience in DevOps, Platform Engineering, SRE, or Infrastructure Engineering roles.
• Strong hands-on experience with AWS services and cloud-native architecture.
• Deep experience with Kubernetes in production environments.
• Strong programming skills in Python and/or Golang.
• Experience building and maintaining CI/CD pipelines.
• Strong knowledge of monitoring, alerting, logging, and observability tools.
• Experience operating real-time, high-availability production services.
• Solid understanding of Linux, networking, containers, and distributed systems.
• Experience with Infrastructure as Code tools such as Terraform, Pulumi, CloudFormation, or similar.
• Ability to troubleshoot complex production issues under pressure.
• Strong ownership mindset and ability to work independently while collaborating closely with engineers.
  
  

• Experience with cloud security, IAM, secrets management, network security, compliance, or security hardening.
• Experience with agentic AI systems, workflow automation, or AI infrastructure.
• Experience with GPU workloads, ML infrastructure, or inference services.
• Experience with service meshes, autoscaling, cost optimization, or multi-region deployments.