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DigitalOcean Recruitment Drive; Hiring Associate Cloud Support Engineer – Apply Now


Associate Cloud Support Engineer Job Openings in Hyderabad 2025!!!

DigitalOcean announced job vacancy for the post of Associate Cloud Support Engineer. The place of posting will be at Hyderabad. Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Name of the Company

DigitalOcean

Required Qualifications

Graduate

Skills

Troubleshooting skills, Bare Metal and Virtualized environments

Category

Support

Work Type

Onsite

They are looking for a Cloud Support Engineer for our GPU product with expertise in cloud infrastructure to support the acquisition, growth, and retention of our high-value customers, focusing on the exciting and cutting-edge space of Artificial Intelligence / Machine Learning, while also being the first point of technical escalation from their Support Team.

Θ Positions: Associate Cloud Support Engineer

Θ Job Location: Hyderabad

Θ Salary: As Per Company Norms

Θ Job Type: Full Time

Θ Requisition ID: 6979837

Roles and Responsibilities:

  • Develop deep expertise on the Paperspace/Digital Ocean product portfolio and the evolving Cloud landscape with a key focus on our AI/ML offerings
  • Liaise with support and engineering teams to ensure customer escalations and obstacles to growth are resolved in a timely fashion
  • Work directly with Customer Success to ensure the expansion and retention of businesses as they build on top of our cloud
  • Drive adoption from high-value customers as a key part of the business expansion process through technical consultation on multiple channels (e.g. video calls, email, Slack)
  • Build out full AI/ML solutions for customers who work with DO’s professional services offering
  • Diagram and plan infrastructure architecture to support specific use cases, and comfortably explain in detail
  • Working both collaboratively and independently within a team setting (we love Slack!)
  • Conduct demonstrations to clients clearly articulating DigitalOcean product benefits and functionality
  • Contribute to internal and external technical documentation
  • Provide technical training to enable our teams and our partners
  • Identify and communicate process improvement suggestions, drive technical best practices within the organization, and communicate customer feedback and trends into the product lifecycle process
  • Work both independently and collaboratively with a Global team of highly talented Solutions Engineers
  • Partner with Engineering to identify, track, and resolve bugs
  • Contribute to external Help Center and internal Knowledge Base and add to the documentation
  • Triaging, escalating, prioritizing, and following up with incidents or customer-impacting events
  • Making informed decisions to solve issues that balance the needs of customers and the company
  • Sharing best practices, and knowledge and improving your team while seeking the same in return

Required Skills & Qualifications:

  • Strong troubleshooting skills
  • Deep Knowledge of Bare Metal and Virtualized environments
  • Experience working in a pre-sales / Technical Support/Consultant role preferably in a SaaS/startup with a passion for customer experience
  • Highly empathetic team members who are great at communicating complex information in a digestible format to Support Specialists and customers at all knowledge levels
  • Deep knowledge of Linux and distributed systems ie:
    • Tools like ssh, scp, rcopy, df, systemctl, journalctl, dmesg, nvidia-smi, strace, dtrace
    • Understand package configuration, versioning and update process on Linux
    • Understand linux networking stack configuration for server and desktop versions of Linux
    • Understand the basics of setting up and using NFS clients and servers
    • Debug and configure python and python-based ML tools.
    • Update and verify Nvidia & AMD device drivers
    • Use docker-ce and container tools as a user.
  • Proven professional experience with cloud infrastructure experience, or equivalent education
  • Deep Knowledge of Networking Concepts and troubleshooting - TCP/IP, computer networking, routing, and switching
  • Deep understanding and experience of a variety of AI/ML solutions from computer vision to LLMs, to speech-to-text
  • Ability to take an AI/ML idea from model development, to testing, to deployment, to monitoring and managing
  • Familiarity with data-parallel and model parallel techniques, such as Tensorflow Distributed, DDP, Distributed Pytorch.
  • Programming/development experience
  • Knowledge of provisioning and deployment strategies and tools
  • Track record of developing successful technical solutions to business problems for clients
  • Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations
  • Passionate about technology and open-source projects
  • Quickly learn DigitalOcean systems and adapt to rapid changes
  • Highly motivated with a self-starter mentality

Extra Credit:

  • Cloud certifications are highly desired
  • Programming/Scripting: Ruby, Python, Go, Bash
  • Source Code: Git
  • Automation: Terraform, Ansible, Chef, Puppet, Saltstack
  • Virtualization: KVM, Xen
  • Databases: MongoDB, MySQL, Redis, PostgreSQL
  • Open Source: CoreOS, Docker, Kubernetes, Vagrant
  • DigitalOcean/Paperspace: API, libraries, services

 

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