
1001 - 5000 employees
Founded 1996
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 Series A on 2000-03
Consulting • Healthcare • Logistics
Commvault is a company that specializes in data protection and management solutions. They offer a comprehensive cloud platform that ensures data security across enterprise, cloud, and SaaS environments. Their services include backup and recovery, disaster recovery, continuous data security, and compliance solutions, catering to various industries such as healthcare, finance, and federal government. Commvault also integrates advanced technologies like AI for enhanced cyber resilience, helping organizations recover swiftly from cyber threats and maintain continuous business operations.
🔥 0 minutes ago
🏖️ New Jersey – Remote
💵 $72.3k - $156.4k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
☁️ Cloud Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 0%
Where this job comes from
Posted on Commvault's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

1001 - 5000 employees
Founded 1996
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 Series A on 2000-03
Consulting • Healthcare • Logistics
Commvault is a company that specializes in data protection and management solutions. They offer a comprehensive cloud platform that ensures data security across enterprise, cloud, and SaaS environments. Their services include backup and recovery, disaster recovery, continuous data security, and compliance solutions, catering to various industries such as healthcare, finance, and federal government. Commvault also integrates advanced technologies like AI for enhanced cyber resilience, helping organizations recover swiftly from cyber threats and maintain continuous business operations.
• Write and maintain Clumio documentation, including getting-started paths, service protection guides, API and SDK references, and restore/recovery runbooks • Build fast paths to first value so builders can protect S3 buckets, DynamoDB tables, or RDS instances without support or sales assistance • Author technical guides on S3, Apache Iceberg and S3 Tables, DynamoDB, EC2/EBS, and RDS/Aurora, including cost, scale, recovery time, and failure scenarios • Own the technical narrative in AWS Marketplace listings, trial flows, and in-product onboarding copy • Ship and maintain working Terraform modules, CloudFormation and CDK templates, scripts, and sample integrations • Test documented workflows in real AWS environments, including code, permissions, and failure modes • Build hands-on labs and GameDay content for AWS events • Produce technical demos and walkthroughs in written, visual, or recorded formats • Create searchable and AI-retrievable content using concrete mechanisms, examples, numbers, and scenarios • Identify and answer builders’ cloud data protection questions • Turn customer-scale data into public proof, including petabytes, object counts, recovery times, and cost deltas • Measure content performance through activation rate, time to first backup, trial-to-paid conversion, docs-sourced signups, and support deflection • Partner with engineering and product to resolve product friction, collaborate with growth on onboarding experiments, and support field and partner teams • Own the content roadmap and improve activation, trial success, qualified signups, and support deflection
• 4+ years in a developer-facing technical role—technical writing, developer relations, solutions engineering, support engineering, or software engineering with a strong writing track record • Ability to write code and prose, validating code before publishing • Working fluency in AWS: S3, IAM, DynamoDB, RDS, EC2, and cloud-team operating models • Hands-on experience with infrastructure as code (Terraform, CloudFormation, or CDK), APIs, SDKs, and the command line • Docs-as-code fluency: Git, Markdown/MDX, PR-based review, and content maintained alongside the product • Demonstrated technical content that shipped and moved something; writing samples and example repositories required • Nice to have: background in data protection, storage, data engineering, or lakehouse architectures • Nice to have: experience at a product-led company where docs were a growth channel • Nice to have: AWS certification or a personal AWS account with billing history • Nice to have: experience with docs analytics, search behavior, or optimizing content for AI retrieval
• High income earning opportunities based on self-performance • Employee stock purchase plan (ESPP) • Continuous professional development, product training, and career pathing • Generous global benefits
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