GCP Production Support Engineer

About the Client:

Our client is a Palo Altobased AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the Intelligent Talent Cloud, it enabled companies to spin up their engineering dream team in the cloud by sourcing and managing vetted global talent.

In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deploymentpowered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta.

Job Title: Production Support Engineer

Location: Bangalore , Chennai , Pune , Mumbai,Hyderabad

Experience: 6+ yrs

Employment Type: Contract to hire

Work Mode: Hybird

Notice Period: Immediate joiners To 10 Days

JOB DESCRIPTION:

Production Support Engineer

Mandatory Skills

Skillset: Incident management, Splunk Observability, Synthetics, Open Telemetry, GCP and Knowledge in AI based applications

3+ Years Production Support (3rd Level Technical) experience.

Experience with one of the previous roles: Software Engineer, DevOps Engineer, Cloud Infra Engineer

Adept at navigating monitoring tools, logs and events to diagnose application issues.

Experience with Cloud-Native concepts and technologies, particularly GCP.

Experience with Incident Management. Preferably via ServiceNow.

Experience with Monitoring/Observability tools such as Splunk Observability, Synthetics and Open Telemetry

Diagnose and troubleshoot technical issues related to AI software and services

Prior experience supporting production cloud infrastructure at scale (GCP, AWS etc.)

Have good analytical and problem-solving skills. Can solve complex problems quickly.

Can effectively communicate complex technical issues

Motivated and pro-active. Able to deal with uncertainty and ambiguous requirements.

Able to support multiple on-call time zones.

Non-mandatory, but advantageous, Requirements

GCP and Kubernetes experience is a definite benefit.

Experience with Unix/Linux networking and operating systems.

Experience programming with Python or DevOps experience.

Experience writing Infrastructure as Code (e.g. Terraform)