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Sr. Cloud Support Engineer-Database

DigitalOcean · Posted Sep 30

Cloud infrastructure, virtual machines, managed database, and AI inference services

Bengaluru, IndiaFull-timeHybridMid Level2–5 years₹18.0L–₹30.0L yearly100+ applicants
Cloud ComputingCloud InfrastructureIaaSDeveloper ToolsArtificial IntelligencePublic Company
Full time

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About the role

DigitalOcean's Cloud Support team empowers customers to successfully run their workloads on the company's simplest scalable cloud platform, providing high-touch, white-glove support to strategic accounts. The role focuses on managed databases and cloud infrastructure, including MySQL, PostgreSQL, Valkey (Redis), MongoDB, ClickHouse, and Kubernetes environments. As a Cloud Support Engineer (IC2), you will troubleshoot and resolve production database issues, guide customers on architecture and best practices, and collaborate with Product and Engineering, reporting to the Manager, Cloud Support Engineer.

What you will do

  • Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments.
  • Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity
  • Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean
  • Collaborate with senior engineers (IC3/IC4) and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.
  • Participate in incident response and on-call rotations to support critical customer issues
  • Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.
  • Advocate for customer feedback to influence product improvements and platform enhancements
  • Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.
  • Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.

Skills used in this role

MySQLPostgreSQLValkeyRedisMongoDBClickHouseKafkaKubernetesLinuxNetworkingAWSAzureGoogle CloudTerraformHelmAnsibleOpenSearchPHPPythonNode.jsDistributed SystemsObservabilityTroubleshootingCommunication

What the employer is looking for

  • 2–5 years of experience in technical support, DevOps, cloud engineering, or similar roles
  • Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.
  • Strong Foundational knowledge of Linux, networking, and cloud infrastructure concepts
  • Understanding of database fundamentals including backups, replication, indexing, and performance tuning
  • Strong troubleshooting skills across application, database, and infrastructure layers
  • Customer-first mindset with a passion for solving technical problems and delivering great support experiences
  • Effective communication skills with the ability to explain technical concepts clearly
  • Ability to work both independently and collaboratively in a fast-paced environment

Preferred qualifications

  • Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.
  • Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.
  • Basic Experience to distributed systems or containerized environments (e.g., Kubernetes)
  • Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.
  • Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies
  • At least one of the Database Certifications, such as Oracle Certified Professional or Databases Administrator
  • Exposure to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.

Benefits and support

  • Reimbursement for relevant conferences, training, and education
  • Access to LinkedIn Learning's 10,000+ courses to support continued growth and development
  • Employee Assistance Program
  • Local Employee Meetups
  • Flexible time off policy
  • Bonus in addition to base salary; bonus amounts are determined based on company and individual performance
  • Equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program

About DigitalOcean

DigitalOcean is an American cloud infrastructure provider and AI-native cloud platform built for developers, startups, and small-to-medium-sized businesses. The company provides simple, scalable virtual machines, managed databases, Kubernetes, and specialized inference engines designed to run modern application and agentic AI workloads.

Industry
Cloud Computing
Company size
1001-5000 employees
Founded
2011-06-24
Location
Broomfield, Colorado, USA
Funding stage
Public Company

Funding

Public Company · $174M raised

Andreessen HorowitzIA VenturesAccess IndustriesFortress Investment GroupTechstars
  • 2013-07-01Seed$3.2M
  • 2014-03-01Series A$37.2M
  • 2014-12-01Debt Financing$50M
  • 2015-07-01Series B$83M
  • 2016-04-01Debt Financing$130M
  • 2020-05-01Venture Round$50M
  • 2021-03-24IPO$775.5M

Leadership

PS
Paddy Srinivasan

Chief Executive Officer

WM
W. Matthew Steinfort

Chief Financial Officer

VK
Vinay Kumar

Chief Product and Technology Officer

LL
Leo Leung

Chief Marketing Officer