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Distributed Storage Jobs (NOW HIRING)

$141K - $163K/yr

This role requires strong expertise in storage systems and distributed infrastructure, along with the ability to collaborate across engineering, product, and go‑to‑market teams. You will play a ...

New

Senior Software Engineer, Storage

San Francisco, CA · On-site

$144K - $190K/yr

Contributing to distributed file, block and object storage products, with a focus on filesystem based solutions * System Design & Architecture * Design and implement high-performance, scalable, and ...

Senior Software Engineer, Storage

Sunnyvale, CA · On-site

$143K - $189K/yr

Contributing to distributed file, block and object storage products, with a focus on filesystem based solutions * System Design & Architecture * Design and implement high-performance, scalable, and ...

Senior Software Engineer, Storage

San Francisco, CA · On-site

$144K - $190K/yr

Contributing to distributed file, block and object storage products, with a focus on filesystem based solutions * System Design & Architecture * Design and implement high-performance, scalable, and ...

$128K - $148K/yr

This role requires strong expertise in storage systems and distributed infrastructure, along with the ability to collaborate across engineering, product, and go-to-market teams. You will play a key ...

New

Design and document end-to-end storage architectures, including parallel/distributed file systems (e.g., Lustre, GPFS, Ceph, VAST), object storage, and tiered solutions. * Lead proof-of-concept and ...

HPC Storage Engineer

Ann Arbor, MI · On-site

$105K - $180K/yr

Parallel or distributed storage concepts (Lustre-like architectures) Nice to Have * Exposure to HPC clusters or compute-heavy workloads * Basic knowledge of networking concepts related to storage

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Distributed Storage information

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How much do distributed storage jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for distributed storage in the United States is $27.22, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $33.65 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in distributed storage systems, and how can they be addressed?

Professionals in distributed storage roles often encounter challenges related to data consistency, network latency, and fault tolerance. Ensuring that data remains synchronized across multiple nodes, especially in the event of failures or network partitions, requires a deep understanding of consensus algorithms and replication strategies. Team members typically collaborate closely with software engineers, DevOps, and site reliability engineers to monitor system health and quickly resolve issues. Ongoing learning and staying updated with the latest distributed system technologies can help professionals address these challenges effectively.

What is the difference between Distributed Storage vs Network Administrator?

AspectDistributed StorageNetwork Administrator
Primary RoleManage and maintain distributed data storage systems across multiple locationsOversee and support computer networks within an organization
Required SkillsStorage protocols, data management, system architectureNetwork configuration, security, troubleshooting
Work EnvironmentData centers, cloud environments, enterprise storage systemsOffice networks, server rooms, remote sites
CertificationsStorage certifications (e.g., SNIA, CompTIA Storage+)Network certifications (e.g., Cisco CCNA, CompTIA Network+)

Distributed Storage professionals focus on managing data across multiple storage nodes, ensuring data availability and scalability. Network Administrators handle network infrastructure, ensuring connectivity and security. While both roles involve technical expertise, they serve different core functions within IT infrastructure.

What is distributed storage?

Distributed storage is a method of storing data across multiple physical machines or locations, rather than keeping all data in a single server or device. This approach improves data reliability, performance, and scalability, as it allows systems to handle larger workloads and recover from hardware failures more efficiently. Distributed storage is commonly used in cloud computing, big data, and enterprise environments to ensure that data is always accessible and protected against loss.

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

To thrive as a Distributed Storage Engineer, you need a strong background in computer science, data management, and experience with distributed systems, often supported by a relevant degree. Familiarity with storage solutions like Ceph, GlusterFS, or Amazon S3, as well as proficiency in scripting languages and cloud platforms, is typically required. Strong problem-solving, collaboration, and communication skills help engineers address complex issues and work effectively within teams. These competencies are crucial for ensuring reliable, scalable, and efficient data storage solutions in modern IT environments.
More about Distributed Storage jobs
What job categories do people searching Distributed Storage jobs look for? The top searched job categories for Distributed Storage jobs are:
Infographic showing various Distributed Storage job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $56,614 per year, or $27.2 per hour.
Senior / Lead Software Engineer - Database/Distributed Storage Engineering

Senior / Lead Software Engineer - Database/Distributed Storage Engineering

Salesforce, Inc.

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 4 days ago


Salesforce rating

8.0

Company rating: 8.0 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

96th of 205 rated software companies


Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
*IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES*
Our Salesforce Database (SDB) team provides a highly available database for Salesforce applications. Within the large SDB team, we provide a highly durable and available distributed storage for public clouds. We are defining the next generation of trusted enterprise computing in the cloud. We're a fast-paced, metrics driven team. We're highly collaborative and work across all areas of our technology stack. We live and breathe transactional systems, distributed systems and enterprise reliability, availability and scale.
The team is seeking a highly qualified and energetic Senior/Lead Software
Engineer who will be responsible for working on development scalable, resilient and fault tolerant transactional and distributed systems. The Senior/Lead Software Engineer will be responsible both for design and hands-on implementation. The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally important is advanced prompt engineering - the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
Job Responsibilities:
  • Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
  • Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
  • Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
  • Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.

Required Skills:
  • A demonstrated, genuine AI-first approach to engineering - using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
  • Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows.
  • Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
  • Experience designing, developing scalable, resilient and fault tolerant transactional and distributed systems in enterprise production environments
  • Highly skilled in Java or C in a Unix/ Linux Environment, with an understanding of modern object-oriented programming techniques and design patterns
  • Experience using telemetry and metrics to drive operational excellence
  • Ability to learn quickly and deliver high quality code in a fast-paced, dynamic team environment
  • A meticulous and detailed oriented engineer, responsible for writing one's own functional and unit tests and help review and test teammates' code
  • Familiar with Agile development methodology and committed to continual improvement of team performance
  • Effective communication, strong leadership skills, team player who is capable of mentoring and being mentored by others
  • Inventive and creative; on task and able to deliver incrementally and on time
  • You should have 5-9+ years of professional experience, or a M.Sc. in a relevant academic field and 3-7+ years of professional experience. Experience with relational databases and or distributed storage, GCP is a big plus.
  • Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
  • Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
  • Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
  • Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance

Desired Skills
  • A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
  • Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
  • Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.

Highly Available Distributed Systems Areas where you may be working on include highly scalable, highly performant distributed systems with highly available and durable data storage capabilities that ensure high availability of the stack above that includes databases. A thorough understanding of distributed systems, system programming, working with system resources is required. Practical knowledge for challenges regarding clustering solutions, hands-on experience in deploying your code in the public cloud environments, working knowledge of Kubernetes and working with APIs provided by various public cloud vendors to handle data are highly desired skills
Unleash Your Potential
When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.The typical base salary range for this position is $117,200 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $141,200 - $285,800 annually.The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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