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Remote Capacity Engineer Jobs in Minneapolis, MN

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Remote Software Engineer - Technical Advisor $150.00 USD/hour | 100% Remote (USA Only) | Mostly Asynchronous We are seeking software engineers in a remote capacity to fill code review and evaluation ...

This role is a 12 month contract and will start remote. The consultant must be willing to relocate ... Capacity to multi-task several testing activities concurrently * Ability to work remotely ...

This role is a 12 month contract and will start remote. The consultant must be willing to relocate ... Capacity to multi-task several testing activities concurrently * Ability to work remotely ...

Maintain Azure SQL Managed Instance health: backup schedules, monitoring, capacity, and operational ... Terraform experience with disciplined plan/apply practices and remote state * Kubernetes operations ...

New

Applications Engineer

Minneapolis, MN · On-site +1

$100K - $140K/yr

Analytical sense for problem solving, but with practicality and problem-solving capacity ... Experience working with remote teams. EXPECTATIONS TO BE SUCCESSFUL: * Demonstrates a high degree ...

Eden Prairie, MN | Hybrid | Remote Schedule: Full-Time Salary: $100,000 - $140,000 (based on ... Manage team capacity planning and monitor utilization to support consistent project delivery.

The role involves data modeling, reporting processes, and automation to support capacity planning, service delivery decisions, and executive reporting, with potential remote work for distant ...

The role involves data modeling, reporting processes, and automation to support capacity planning, service delivery decisions, and executive reporting, with potential remote work for distant ...

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Remote Capacity Engineer information

See Minneapolis, MN salary details

$55.3K

$132.6K

$149.8K

How much do remote capacity engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote capacity engineer in Minneapolis, MN is $132,582.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $149,300.00 per year, depending on experience, location, and employer.

What is a remote capacity engineer?

A Remote Capacity Engineer is an IT professional responsible for monitoring, analyzing, and optimizing the capacity and performance of computer systems and networks from a remote location. Their primary role is to ensure that infrastructure resources—such as servers, storage, and network bandwidth—are sufficient to meet current and future business demands. They use specialized tools to forecast usage trends, plan for scalability, and prevent system bottlenecks. By working remotely, they can support organizations with distributed systems and cloud-based environments without being physically present onsite.

What are the key skills and qualifications needed to thrive as a remote capacity engineer?

To thrive as a Remote Capacity Engineer, you need a solid background in systems engineering, performance analysis, and capacity planning, usually supported by a degree in computer science or a related field. Familiarity with monitoring tools like Nagios, Prometheus, or Grafana, and experience with cloud platforms such as AWS or Azure are typically required. Strong analytical thinking, effective communication, and self-motivation are crucial soft skills for collaborating remotely and addressing capacity challenges proactively. These skills ensure optimal system performance, cost efficiency, and reliable scalability for distributed environments.

How does a remote capacity engineer typically collaborate with distributed teams to manage and optimize system performance?

As a Remote Capacity Engineer, you'll work closely with cross-functional teams—including DevOps, product managers, and infrastructure engineers—using collaboration tools like Slack, Jira, and video conferencing to monitor, analyze, and forecast system resource needs. Regular communication is essential to ensure all stakeholders are aware of current capacities, upcoming demands, and recommendations for scaling. You'll often participate in virtual stand-ups, review system metrics with team members, and coordinate capacity planning efforts across different time zones. This collaborative, remote environment encourages proactive problem-solving and continuous learning.

What is the difference between Remote Capacity Engineer vs Network Engineer?

AspectRemote Capacity EngineerNetwork Engineer
Required CredentialsBachelor's in IT, Computer Science, or related; certifications like CCNA or Cisco certificationsBachelor's in Computer Science, Networking, or related; certifications like CCNA, CompTIA Network+
Work EnvironmentRemote, often in IT or cloud service companiesPrimarily on-site or hybrid, in networking or telecom firms
Industry UsageTech, cloud providers, data centersTelecommunications, IT infrastructure, enterprise networks
Common Search/ComparisonYesYes

The Remote Capacity Engineer focuses on analyzing and planning the capacity of cloud and IT resources remotely, ensuring optimal performance. Network Engineers design, implement, and maintain network infrastructure, often on-site. While both roles require networking certifications and involve IT infrastructure, the Capacity Engineer emphasizes capacity planning in cloud environments, whereas the Network Engineer concentrates on network setup and maintenance.

Is it possible to work remotely as a remote capacity engineer?

Remote capacity engineers can often work remotely, especially if their role involves analyzing system performance, planning infrastructure, and using collaboration tools. Many companies offer remote positions for this role, provided the candidate has strong technical skills and relevant certifications. However, some organizations may require on-site presence for certain tasks or team collaboration.

What job categories do people searching Remote Capacity Engineer jobs in Minneapolis, MN look for?

The top searched job categories for Remote Capacity Engineer jobs in Minneapolis, MN are:

Infographic showing various Remote Capacity Engineer job openings in Minneapolis, MN as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, and 7% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $132,582 per year, or $63.7 per hour.

Remote Software Engineer - Technical Advisor

Ascent Placement Partners

Minneapolis, MN • Remote

$150/hr

Contractor

Medical, Dental, Vision

Posted 4 days ago

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Job description


Remote Software Engineer – Technical Advisor

$150.00 USD/hour | 100% Remote (USA Only) | Mostly Asynchronous

 

We are seeking software engineers in a remote capacity to fill code review and evaluation roles.  Our client is an AI safety and research company based in San Francisco, CA, focused on Constitutional AI and alignment research. Its work centers on developing AI systems that are safe, reliable, interpretable, and aligned with human values.  This is a 6 month, W2, contract opportunity, with the chance of extension.  This mostly asynchronous role may be supported from anywhere in the USA - only.

 

Role Details:

Job Type: Part-Time / Contract


Contract Type: W2 Contractor


Contract Length: 6 months, with possibility of extension


Pay: $150.00 USD/hour


Location: United States (Remote)


Schedule: 30–40 hrs/week, mostly async; must be reachable during US business hours for periodic syncs. Your own local time zone — not restricted to Pacific time. Our client is based in San Francisco.


Dual Employment: Allowed on the side, but incompatible with a second full-time role given the hours. Not permitted alongside work for a direct AI competitor.


What the Role Involves:


A Software Engineer – Technical Advisor evaluates frontier AI coding models to identify where and why they break on real engineering tasks. This is a code-review and evaluation role, not a build-from-scratch role. Typical work includes:

  • Auditing model-generated pull requests against real production repositories, documenting issues with severity and technical rationale
  • Reviewing full coding-agent session logs to assess what a model investigated, verified, assumed, or skipped
  • Designing container-based (Docker) technical benchmarks to test AI models
  • Writing clear, original technical rationales explaining code failures (all written work must be self-authored, without AI text generators)
  • Collaborating asynchronously with AI researchers to refine evaluation criteria


Who Fits the Target profile:


  • 8+ years of production engineering experience (exceptions for standout profiles)
  • Senior/Staff/Principal engineers, tech leads, or open-source maintainers
  • Experience in codebases with a strict code review culture
  • Comfortable working across multiple languages, not just Python/TypeScript
  • Strong with Docker, git, and CLI-based debugging
  • Cross-layer fluency: backend, frontend, APIs, data, testing, or tooling
  • Strong written communication — explaining why code fails, not just fixing it


Process Overview:


Recruiter screen → Coding assessment → Phone interview → Verification & paperwork → Paid 2-week trial → Client interview → Start


We're upfront that this process includes one unpaid step (the coding assessment below) before any paid work begins. Everything after that — including the 2-week trial — is paid at $150/hr.


Step 1: Recruiter Screen

A brief conversation with your Ascent Placement recruiter to confirm interest, availability, and fit.


Step 2: Coding Assessment (Unpaid)

A ~90-minute Code Signal assessment, completed in one sitting, covering general programming/algorithms, requirement understanding, and debugging. This step is unpaid and cannot be retaken — we want to be upfront about that before you start. A passing score is 500+.

Link: https://app.codesignal.com/public-test/KWJMaEuEfaMa5ihAZ/cct8vNutLbnMJe


Step 3: Phone Interview

A screening video call with your recruiter to discuss your background, the role, and answer questions — before any documents or identity verification are requested.


Step 4: Verification & Documentation

Once you've passed the assessment and completed the phone interview, we'll move to identity verification and paperwork, needed for W2 contractor onboarding and client compliance. This includes:

  • Government-issued ID verification, conducted initially through Ascent Placement.
  • Updated resume highlighting senior production and code-review experience
  • Contact phone number
  • Confirmation of US work eligibility (W2 only — no C2C, no visa sponsorship)


Step 5: Paid 2-Week Trial ($150/hr)

  • Assessment 1 (~10–15 hrs): Code quality audit of model-written pull requests
  • Assessment 2 (~20–30 hrs): Multi-round code review exercise, scoring written bug rationales against expert reviewers
  • Together, these test whether you catch what CI and the original author missed, and can explain why


Step 6: Client Interview & Start

Final interview with the client, followed by onboarding.


A Note on Trust:


We know remote contract postings at this pay rate attract scrutiny, and we think that scrutiny is healthy. If anything about this process feels off, you're welcome to verify Ascent Placement independently before sending any documents, and to ask your recruiter directly how your ID and personal information will be stored and used.


NDA note:


An NDA is required only at onboarding or before specific role discussions — not for the CodeSignal assessment.


Recruiter:


Tim - Ascent Placement

Company Description

Ascent Placement Partners is a leadership focused staffing firm dedicated to helping organizations reach the peak of excellence by identifying the leaders who make the difference. We believe that every successful organization has a defining leader, the one who completes the climb, elevates performance, and unlocks the next level of growth.
Our approach goes beyond filling roles. We take the time to understand each company’s vision, culture, and challenges to identify leaders who align strategically and inspire meaningful impact. By combining deep market insight with a consultative, relationship driven process, we connect organizations with proven talent capable of driving sustainable success.