Top Tech Jobs & Startup Jobs in Chennai

Design, implement, and automate large-scale distributed systems; build tooling to improve availability, scalability, latency, and efficiency; collaborate with engineering teams on CI/CD, monitoring, incident management, and SRE practices; participate in on-call rotation.

The Technical Support Engineer manages MACD operations, supports enterprise contact center environments, and ensures timely issue resolution while adhering to SLAs.

Design, implement, and automate large-scale distributed systems; build tooling and IaC for availability, scalability, and efficiency; monitor production, improve incident response and SRE practices; participate in on-call rotation and collaborate with engineering teams to deliver high-quality software.

Design end-to-end technical architectures for enterprise AI solutions, define reusable reference architectures and standards, evaluate platform/model trade-offs, ensure data/integration/security/governance fit, hand off buildable designs to engineering, and maintain currency on AI platform and tooling landscape.

Build and operate Five9's AI platform: provision cloud infrastructure, maintain IaC, CI/CD pipelines, model/agent runtimes, secure data/integration plumbing, enforce governance, provide observability and reliability, and enable solution builders.

The DevOps Engineer will design and implement infrastructure as code, manage cloud infrastructure, develop CI/CD pipelines, and support voice service components.

Provide product support for Five9 cloud contact center customers: troubleshoot logs, SQL, IIS, networking, and APIs; work with contact-center platforms (Cisco, Amazon Connect, Genesys, etc.); implement solutions consultatively and ensure excellent customer care.

Support product managers across CCaaS product lines by researching customer problems, assisting with AI-driven feature definition, writing PRDs and user stories, coordinating with engineering on Agile delivery, and participating in customer validation and launch activities.

Design, build, and maintain scalable ELT pipelines in GCP ingesting data from REST/SOAP APIs and enterprise systems. Use Dataform, Airflow, Cloud Run/Functions, Workflows, Pub/Sub, and Terraform to deliver analytics-ready datasets, support Looker dashboards and ML models, build AI agents for automation, and provide production support during PST month-end close cycles.

Design, automate, and operate large-scale distributed systems. Build tooling for availability, scalability, and efficiency. Partner with engineering teams on CI/CD, monitoring, incident management, and SRE practices; participate in on-call rotations.