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Remote Cloud Storage Jobs (NOW HIRING)

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... Robust knowledge of cloud storage aspects (ADLS gen2) * Expertise in cloud security aspects

Ruri Software Technologies LLC

GCP Data Engineer

$117K - $140K/yr

Data engineer with GCP Location : Remote Skills:- * Experience working in GCP based Big Data ... Strong knowledge on Google cloud storage Data lifecycle management * Strong knowledge on BIGQuery ...

Tech Tammina

Databricks Engineer

Databricks Engineer Remote Contract role * Design, develop, and maintain ETL/ELT pipelines using ... Work with cloud storage services such as AWS S3, Azure ADLS, or GCP Storage * Collaborate with data ...

Nasuni

Senior Solutions Engineer

$56.50 - $73/hr

US Remote or Boston Role Overview The Senior Solutions Engineer partners with Sales to design ... Design and present scalable solutions across cloud storage, backup, DR, and security * Deliver ...

Anagh Technologies, Inc.

Sr Software Developer

$55.75 - $73.75/hr

Remote- EST Duration: Long Term • At least 8 years developing back-end systems and includes integrating a range of system components, including databases, cloud storage, and messaging or other ...

Nvidia

$135K - $181K/yr

Design and evolve a unified memory layer that spans GPU memory, pinned host memory, RDMA-accessible memory, SSD tiers, and remote file/object/cloud storage to support large-scale LLM inference.

Knexus

Site Reliability Engineer (Remote)

Vienna, VA · On-site +1

$57.25 - $76/hr

This is a fully remote position for candidates in the continental U.S., with work hours aligned to ... Cloud Storage, and Kubernetes Engine, to support our development and operational needs. You'll ...

Vultr

AI Cluster Architect

$65 - $89/hr

... Cloud Storage solutions. In December 2024 Vultr announced an equity financing at a $3.5 billion ... first year remote office setup + $400 each following year for new equipment * Internet ...

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How much do remote cloud storage jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for remote cloud storage in the United States is $61.71, according to ZipRecruiter salary data. Most workers in this role earn between $54.09 and $74.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Cloud Storage Engineer, and why are they important?

To thrive as a Remote Cloud Storage Engineer, you need expertise in cloud storage solutions, networking, and data security, typically supported by a degree in computer science or related certifications. Familiarity with platforms like AWS S3, Microsoft Azure Blob Storage, and automation tools such as Terraform or Ansible is commonly required. Strong problem-solving, communication, and self-motivation are valuable soft skills in remote settings. These skills ensure reliable, secure storage infrastructure and efficient collaboration across distributed teams.

What is a Remote Cloud Storage specialist?

A Remote Cloud Storage specialist is a professional who manages, maintains, and optimizes cloud-based storage solutions for organizations or clients, typically while working remotely. They are responsible for ensuring data is securely stored, easily accessible, and efficiently backed up across cloud platforms like AWS, Google Cloud, or Microsoft Azure. Their work often includes troubleshooting storage issues, implementing data protection protocols, and helping organizations scale their storage needs as they grow.

What are some common challenges faced when working in a Remote Cloud Storage role, and how can they be addressed?

Professionals in Remote Cloud Storage roles often navigate challenges such as ensuring data security, managing access controls, and maintaining system uptime across distributed environments. Collaboration with IT security teams and adherence to best practices like regular audits and encryption can help mitigate security risks. Staying updated with the latest cloud provider tools and maintaining clear communication with cross-functional teams is essential for troubleshooting and optimizing storage solutions. Proactively engaging in ongoing training and leveraging documentation resources can also ease the adaptation to evolving cloud technologies.

What is the difference between Remote Cloud Storage vs Cloud Data Analyst?

AspectRemote Cloud StorageCloud Data Analyst
Required CredentialsCloud certifications (e.g., AWS, Azure), IT skillsData analysis certifications (e.g., Tableau, SQL), degree in data-related fields
Work EnvironmentIT infrastructure, cloud platforms, remote serversData analysis tools, dashboards, cloud environments
Employer & Industry UsageTech companies, cloud service providers, remote IT teamsBusiness, finance, marketing sectors utilizing cloud data
Search & Comparison IntentUnderstanding cloud storage roles, job requirementsData analysis in cloud environments, job differences

Remote Cloud Storage professionals focus on managing and maintaining cloud storage solutions, ensuring data security and accessibility. Cloud Data Analysts interpret data stored in cloud platforms to generate insights for business decisions. While both roles work within cloud environments, their core responsibilities differ: one manages infrastructure, the other analyzes data.

More about Remote Cloud Storage jobs
What cities are hiring for Remote Cloud Storage jobs? Cities with the most Remote Cloud Storage job openings:
What are the most commonly searched types of Cloud Storage jobs? The most popular types of Cloud Storage jobs are:
What states have the most Remote Cloud Storage jobs? States with the most job openings for Remote Cloud Storage jobs include:
What job categories do people searching Remote Cloud Storage jobs look for? The top searched job categories for Remote Cloud Storage jobs are:
Remote Cloud Storage jobs near you
Infographic showing various Remote Cloud Storage job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $128,365 per year, or $61.7 per hour.
DevOps Engineer, Cloud Infrastructure & Scientific Computing (Remote, Americas)

DevOps Engineer, Cloud Infrastructure & Scientific Computing (Remote, Americas)

Cartography Biosciences

Remote

$130K - $145K/yr

Full-time

Re-posted 6 days ago

Job description

About Cartography Biosciences
Cartography Biosciences is a therapeutics organization creating the first atlas to identify targets that are specific enough to only engage cancerous cells, broad enough to work across cancer cells and patients, and safe enough to sidestep toxic side effects. Founded by Kevin Parker, Howard Chang, and Ansu Satpathy, Cartography is bridging immunology and computation to understand the critical differences between normal and cancerous cells, ultimately solving the challenge of finding the safest, most selective targets for a variety of immunotherapeutic approaches.
We are looking for a DevOps Engineer to own and evolve the cloud infrastructure that powers our computational biology platforms, internal applications, and data pipelines. You will build and maintain systems spanning workflow orchestration for genomics and structural biology workloads, internal-facing scientific applications, and the security and reliability infrastructure that supports them.
This role sits at the intersection of cloud engineering, scientific computing, and applied software development. You will work closely with computational biology, antibody discovery, and software engineering teams to translate prototype workflows into production systems, ensure uptime and observability for the tools scientists rely on daily, and apply security best practices appropriate for a biotech environment handling sensitive scientific and business data.
This role is 100% remote and can be based in the US, Canada, Mexico, Central America, or South America.
Key Responsibilities
  • Architect, deploy, and maintain cloud infrastructure across Google Cloud Platform (primary) and AWS (secondary), with a focus on cost efficiency, reproducibility, and security across compute, storage, networking, and identity.
  • Manage infrastructure-as-code using Terraform, with full version control via GitHub and CI/CD pipelines that support both scientific compute and internal application deployment.
  • Support and extend our scientific compute infrastructure, including Cromwell, Google Batch, Cloud Run, Cloud Storage, and GPU-accelerated environments for protein design, structural prediction, and machine learning workloads.
  • Maintain uptime, observability, and incident response for internal applications including Slack integrations, web dashboards, and data ingestion services that connect lab and computational workflows.
  • Implement and uphold data security practices appropriate for a biotech environment, including IAM, secrets management, audit logging, network segmentation, and compliance-adjacent controls.
  • Collaborate with computational biologists and software engineers to operationalize new tools and pipelines, translating prototype workflows into reliable production systems.
  • Triage and resolve infrastructure issues across the stack, with clear documentation and post-mortems that improve the system over time.
  • Articulate technical decisions and trade-offs to diverse audiences, including engineering and scientific teams.

Required Qualifications
  • DevOps Engineer: 4+ years of hands-on DevOps, SRE, or cloud infrastructure experience.
  • Strong production experience with Google Cloud Platform (GCE, GKE, GCS, Cloud Run, IAM, Cloud Logging, Batch) and working knowledge of AWS (EC2, S3, IAM, Lambda).
  • Deep proficiency with Terraform, GitHub Actions or equivalent CI/CD systems, and Docker.
  • Proficiency in Python for scripting, automation, and data handling; comfortable in Unix or Linux terminal environments.
  • Practical experience implementing data security controls, including encryption, access policies, secrets management, and audit trails.
  • Demonstrated ability to maintain internal-facing applications and services with high uptime expectations.
  • Excellent written and verbal communication in English, with the ability to document systems clearly for both engineers and scientists.
  • Working hours that include meaningful synchronous overlap with US Pacific Time.

Preferred Qualifications
  • Fluency with AI-augmented development workflows, including practical use of tools such as Claude Code, Cursor, or GitHub Copilot as part of day-to-day infrastructure and scripting work.
  • Experience supporting scientific or research computing environments (genomics, single-cell, structural biology, ML, or HPC).
  • Familiarity with workflow orchestration systems such as Cromwell, Nextflow, WDL, or Airflow.
  • Experience with GPU infrastructure and scheduling of ML or protein design workloads.
  • Background in life sciences infrastructure, including familiarity with Benchling, ELN integrations, or scientific data management systems.
  • Prior experience at an early-stage biotech, scientific software company, or research-driven startup.
  • Familiarity with SOC 2, HIPAA-adjacent, or other regulated-environment security frameworks.

Logistics
  • Fully remote, open to candidates based in the Americas (US, Canada, Mexico, Central America, or South America).
  • You will report directly to the head of computational biology.
  • Compensation calibrated to local market with US benchmarking
  • Direct collaboration with our US-based engineering and computational biology teams in South San Francisco.

The pay range for this role is:
130,000 - 145,000 USD per year (US - DevOps Engineer)

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