Note: The job is a remote job and is open to candidates in USA. OneReach.ai builds conversational AI and automation tools for organizations. The Platform Engineer maintains and expands production infrastructure, develops backend and voice integrations, and supports reliability and client-facing technical solutions.

Responsibilities

• Maintain and improve core infrastructure supporting production systems
• Build, maintain, and optimize CI/CD pipelines
• Support and implement voice integration solutions across products
• Collaborate with engineering and product teams to prioritize and execute infrastructure and development work
• Monitor systems, respond to alerts, and troubleshoot critical infrastructure issues
• Manage and prioritize a backlog of infrastructure and integration tasks across multiple teams
• Assist with client integrations, including configuration and deployment of technical solutions
• Contribute to high-availability, scalable, and fault-tolerant system design
• Work closely with distributed teams (including international DevOps teams) to extend coverage across time zones
• Participate in regular syncs, standups, and planning sessions

Skills

• Strong proficiency in JavaScript / TypeScript and backend development (Node.js)
• Experience with databases (PostgreSQL, DynamoDB, MongoDB, Redis)
• Strong understanding of backend architecture (microservices, event-driven, serverless)
• DevOps background with hands-on infrastructure experience
• Experience with AWS services (e.g., VPC, S3, EC2, Lambda, ECS/EKS, CloudWatch, Route53)
• Experience with Infrastructure as Code tools (Terraform, CloudFormation, or CDK)
• Experience with Docker and containerized environments
• Ability to troubleshoot and respond to production issues under pressure
• Strong communication skills and ability to collaborate across teams
• Fluent English
• Candidates must be legally authorized to work in the United States
• This position does not include visa sponsorship
• Experience working with voice technologies or voice-enabled systems
• Experience with Kubernetes (EKS, GKE, K3s)
• Experience with tools like ArgoCD or Kubernetes Operators
• Familiarity with multi-cloud environments (AWS, Azure, GCP)
• Experience with AWS DevOps tools (CodePipeline, CodeBuild, CodeDeploy, Systems Manager, etc.)
• AWS certifications (Developer, Solutions Architect, DevOps Engineer) or Kubernetes certifications (CKAD)
• Experience with AWS Bedrock or other AI/voice-related services

Benefits

• Contribute to a world-class platform that’s redefining how organizations design, deploy, and scale automation.
• Collaborate daily with a distributed team of innovators in conversational AI, automation, and user experience.
• Enjoy a flexible, remote or hybrid work culture with opportunities for professional growth and development.

Company Overview