# Technical Support Engineer - India Weekends

**Company:** [Together AI](https://hotfix.jobs/companies/together-ai)
**Location:** Pune, India, Bengaluru, India
**Role:** Support Engineering
**Experience:** 6+ years
**Skills:** Kubernetes, Slurm, Ansible, Python, TypeScript, JavaScript, Prometheus, Grafana, REST APIs, Http, Lora, Infrastructure As Code, Git, AWS, GCP
**Posted:** 2026-08-12

> Provides advanced technical support for customers running AI inference and fine-tuning services, GPU clusters, and Kubernetes endpoints. The role requires 6+ years in customer-facing infrastructure, SRE, DevOps, or similar work, including AI-service support experience.

## Job Description

## Required Hours

- Full-time position working India daytime hours.
- Work both Saturday and Sunday, plus two additional weekdays.
- Four-day shift, 10 hours per day, with two additional hours of on-call coverage on Saturdays and Sundays.
- Initially work Monday through Friday for the first few months during ramp-up; transition to the four-day weekend shift after ramp-up.
- Provide support coverage during holidays, nights, and weekends as required.

## Responsibilities

- Engage directly with customers to resolve complex technical challenges involving GPU clusters, inference services, and fine-tuning services.
- Act as a customer-facing SRE to keep customer inference endpoints running on Kubernetes healthy, stable, and performant.
- Become a product expert in generative AI solutions and serve as the last technical escalation point before Engineering and Product.
- Support hardware and platform migrations by validating system health and traffic routing.
- Monitor dashboards, detect anomalies, and escalate issues with data-backed analysis.
- Manage customer communications during incidents and degradations, translating technical findings into clear, evidence-based updates.
- Contribute infrastructure changes through pull requests and infrastructure-as-code workflows for endpoint configuration, model deployment and removal, and capacity scaling.
- Report engine-level bugs with logs and reproduction steps.
- Collaborate with Engineering, Research, Product, Sales, Support, and senior internal and external stakeholders.
- Identify patterns in support cases and turn customer insights into roadmap input.
- Maintain documentation covering system configurations, procedures, troubleshooting guides, and FAQs.

## Requirements

- 6+ years of experience in a customer-facing technical role, SRE, DevOps, or infrastructure engineering, including at least 1 year supporting an AI service.
- Strong knowledge of AI, machine learning, GPU technologies, and high-performance computing environments.
- Production experience with Kubernetes, SLURM, Ansible, high-performance network fabrics, NFS-based storage, and container infrastructure.
- Familiarity with HPC storage systems such as Vast and Weka.
- Ability to diagnose complex network-layer issues and read traces.
- Strong knowledge of Python, TypeScript, and/or JavaScript, with testing and debugging experience using curl and Postman-like tools.
- Expertise with observability tooling such as Prometheus and Grafana at scale.
- Deep familiarity with REST API debugging and HTTP semantics.
- Experience with LLM inference frameworks, LoRA fine-tuning, and common training failure modes.
- Experience with infrastructure as code and Git-based workflows.
- Background in GPU cluster management.
- Experience with AWS, Google Cloud, and/or Azure.
- Understanding of installing, configuring, administering, troubleshooting, and securing compute clusters.
- Strong technical problem-solving, communication, collaboration, ownership, adaptability, and prioritization skills.

## Compensation and Benefits

- Competitive compensation.
- Startup equity.
- Health insurance and other benefits.
- Remote-work flexibility within the applicable hiring region.
- Compensation varies by location, level, role, experience, skills, and job-related knowledge.

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