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Remote Storage Engineer Jobs in Baltimore, MD (NOW HIRING)

SAIC

AI Platform Engineer - SETA

Columbia, MD · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description Varen, an SAIC Company is seeking an AI ... Assess platform readiness for AI workloads, including compute, storage, networking, identity ...

Generac

Senior Controls Engineer

Baltimore, MD · On-site +1

$115K - $155K/yr

Lead onsite and remote startup and commissioning activities, including development and execution of ... energy storage systems, solar PV systems, protective relays, and switchgear * Thorough ...

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Remote Storage Engineer information

See Baltimore, MD salary details

$10

$55

$82

How much do remote storage engineer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote storage engineer in Baltimore, MD is $55.85, according to ZipRecruiter salary data. Most workers in this role earn between $46.35 and $65.91 per hour, depending on experience, location, and employer.

What is a Remote Storage Engineer?

A Remote Storage Engineer is an IT professional who specializes in designing, implementing, and managing data storage solutions for organizations while working remotely. Their responsibilities include configuring storage systems, troubleshooting storage-related issues, ensuring data security, and optimizing storage performance. They often work with technologies such as cloud storage, SAN (Storage Area Network), and NAS (Network Attached Storage). Remote Storage Engineers play a crucial role in maintaining data integrity and accessibility, especially for businesses with distributed or cloud-based infrastructure.

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

To thrive as a Remote Storage Engineer, you need strong expertise in storage technologies, data management, and backup solutions, typically backed by a degree in computer science or a related field. Familiarity with systems like SAN/NAS, cloud storage platforms (e.g., AWS, Azure), and certifications such as CompTIA Storage+ or vendor-specific credentials are highly valued. Excellent problem-solving, communication, and self-management skills help you address issues efficiently while collaborating across remote teams. These skills and qualities ensure robust data availability, security, and seamless support for distributed enterprise environments.

What is the difference between Remote Storage Engineer vs Cloud Storage Administrator?

AspectRemote Storage EngineerCloud Storage Administrator
Required CredentialsIT certifications, storage-specific certifications (e.g., SNIA, CompTIA Storage+)Cloud platform certifications (e.g., AWS, Azure, Google Cloud)
Work EnvironmentData centers, remote offices, or cloud environmentsCloud platforms, remote or on-premises
Employer & Industry UsageIT companies, data centers, cloud providersCloud service providers, enterprises using cloud storage
Common Search & Comparison IntentUnderstanding storage infrastructure rolesManaging and optimizing cloud storage solutions

The main difference is that Remote Storage Engineers focus on designing, implementing, and maintaining storage systems across various environments, including data centers and cloud platforms. Cloud Storage Administrators primarily manage and optimize storage within cloud platforms like AWS or Azure. Both roles require storage knowledge, but their focus and certifications differ based on the environment they work in.

What Does a Remote Storage Engineer Do?

As a remote storage engineer, you work from home to design and maintain information storage systems for clients. In this virtual position, your duties involve creating a database infrastructure that meets the needs of each client with whom you work. Part of your job involves assessing the specific needs of the client and designing appropriate solutions. You build or configure software, hardware, or cloud-computing systems, and you provide support and training for the employees who use the system. Other responsibilities include making updates, backing up data, and building and monitoring the network that connects to the data storage system.

How do Remote Storage Engineers typically collaborate with on-site IT teams to resolve storage issues?

Remote Storage Engineers frequently work closely with on-site IT teams to diagnose and resolve storage-related incidents. This collaboration often involves remote access to systems, regular video or conference calls, and utilizing ticketing systems to track progress. Strong communication skills are essential, as Remote Storage Engineers must clearly document troubleshooting steps and coordinate actions, sometimes even guiding on-site staff through physical hardware checks or replacements. This teamwork ensures efficient resolution of issues despite physical distance.
More about Remote Storage Engineer jobs
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Remote Storage Engineer jobs near you
AI Platform Engineer - SETA

AI Platform Engineer - SETA

SAIC

Columbia, MD • On-site, Remote

$200K - $240K/yr

Full-time

Posted 13 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

68th of 210 rated it services

Job description

Job ID: 2614170

Location: Columbia, MD, US

Date Posted: 2026-06-30

Category: Engineering and Sciences

Subcategory: Systems Engineer

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI_wPoly

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description

Varen, an SAIC Company is seeking an AI Platform Engineer - SETA to join our team.  This position is located in Columbia, MD and requires a TS/SCI with polygraph.

We are seeking an AI Product Manager - SETA to Contractor SETA AI Platform Engineer to advise and support the design, integration, and maturation of AI-enabling infrastructure across mission-focused environments. This role is ideal for a technically strong engineer who understands how to stand up, assess, and guide modern AI platforms in secure government settings, with particular familiarity in cloud and enterprise ecosystems such as Microsoft Azure and Amazon Web Services (AWS).

The ideal candidate is not just technically capable, but deeply curious, self-motivated, and passionate about AI. We are looking for someone who continuously learns, experiments, and stays current with emerging tools, architectures, and best practices—even outside formal work requirements. This person should bring both engineering judgment and an enthusiasm for helping government teams adopt AI platforms in a practical, secure, and mission-aligned way.

Key Responsibilities:

  • Provide SETA support to government leadership and technical teams on AI platform architecture, integration, and sustainment.
  • Advise on the design and evaluation of AI/ML platform environments across cloud, hybrid, and enterprise deployments.
  • Support platform decisions involving Azure, AWS, Microsoft enterprise services, containerized environments, data pipelines, model hosting, and secure access patterns.
  • Assess platform readiness for AI workloads, including compute, storage, networking, identity, security, observability, and scalability considerations.
  • Help evaluate vendor offerings, reference architectures, technical tradeoffs, and implementation approaches.
  • Support the development of technical documentation, architecture artifacts, white papers, decision briefings, and executive summaries.
  • Coordinate with program managers, engineers, mission stakeholders, cybersecurity teams, and external partners to keep platform efforts aligned with mission outcomes.
  • Identify integration risks, technical gaps, and dependencies, and recommend practical mitigation strategies.
  • ssist with transition planning from prototype or pilot efforts into sustainable operational capability.
    Educate stakeholders on AI platform concepts, emerging patterns, and implementation best practices in government environments.

Qualifications

  • Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience.
  • Experience supporting AI/ML, data, cloud, or platform engineering efforts in government, defense, or enterprise environments.
  • Demonstrated familiarity with Microsoft and/or AWS platform ecosystems.
  • Working knowledge of cloud architecture, containers, APIs, data services, identity/access management, and secure system integration.
  • Ability to understand how AI applications depend on underlying platform components such as model hosting, pipelines, storage, orchestration, and monitoring.
  • Experience producing technical assessments, recommendations, or engineering support artifacts for leadership or program offices.
  • Strong written and verbal communication skills.
  • TS/SCI with polygraph.

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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