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System Delivery Engineer Jobs (NOW HIRING)

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Systems Engineer

Richmond, VA · On-site

$156K/yr

Senior Cloud Solution Delivery Engineer We are seeking a seasoned Senior Cloud Solution Delivery ... our systems are scalable, secure, and automated. The ideal candidate thrives in fast-paced ...

Endurance Energy

Senior Power Delivery Engineer

Seattle, WA · On-site

$200K - $250K/yr

As Endurance scales from demonstration systems to commercial power plants around the world, you ... You will be one the first engineer dedicated to power delivery at Endurance. You will work directly ...

TEKsystems

Delivery Manager

Studio City, CA · Remote

$60 - $65/hr

... systems who enjoys working in a fast-paced environment focused on content distribution and workflow automation. The Media Delivery Engineer will play a critical role in ensuring media assets are ...

Mixpanel

Delivery Engineer III (GTM)

New York, NY · On-site +1

About the Delivery Engineer Team As a member of the Go-To-Market Delivery Engineer team, you will ... systems tasks from clients * Build AI automations to help customers manage their data at scale

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System Delivery Engineer information

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How much do system delivery engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for system delivery engineer in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 per year, depending on experience, location, and employer.

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Infographic showing various System Delivery Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.

Senior AI Delivery Engineer

New York, NY • On-site

Qube Research & Technologies
See more jobs at Qube Research & Technologiesexternal

$180K - $300K/yr

Full-time

Re-posted yesterday

Job description

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
You'll work closely with QRT's engineers, quantitative researchers and data scientists to accelerate software delivery using modern AI coding tools and agents. This is a hands-on engineering role focused on solving real problems, building practical solutions and helping teams deliver high-quality software to production faster. You'll have significant autonomy and will be measured by the impact you deliver.
Your Future Role within QRT:
Delivery -
  • Partner with engineering and research teams to identify high-value opportunities and deliver practical solutions.
  • Use AI coding agents to take ideas from specification through to production.
  • Build targeted tooling, integrations and automation to improve engineering workflows.
  • Work across teams, codebases and technical domains as priorities evolve.
AI-Assisted Engineering -
  • Apply AI-assisted development to accelerate software delivery while maintaining engineering quality.
  • Integrate AI agents into existing development workflows, including CI/CD and code review.
  • Establish pragmatic guardrails and human oversight for AI-assisted development.
  • Share reusable approaches and best practices across engineering teams.
Ownership & Impact -
  • Own delivery from problem definition through production deployment.
  • Balance speed, quality and reliability in a fast-paced trading environment.
  • Communicate effectively with technical and non-technical stakeholders.
  • Drive outcomes with autonomy, sound judgement and a bias for execution.
Your Present Skillset:
We value strong engineering judgement, hands-on AI-assisted delivery and a bias for impact. We do not expect candidates to meet every requirement below.
  • Significant software engineering experience within a quantitative hedge fund, systematic trading firm or similarly demanding engineering environment.
  • Strong programming skills in one or more modern languages, with the ability to learn new technologies quickly.
  • Hands-on experience using AI coding agents or LLMs to deliver production software.
  • Proven ability to solve ambiguous problems and deliver practical solutions independently.
  • Comfortable working across unfamiliar codebases, teams and technical domains.
  • Experience with CI/CD, code review workflows and human-in-the-loop development practices.
  • Strong engineering judgement, including balancing rapid delivery with long-term maintainability.
  • Excellent communication and collaboration skills.
  • Demonstrated ownership, pace and delivery of measurable business impact.
Nice to Have:
  • Experience with market data, real-time systems or trading infrastructure.
  • Experience building deployment pipelines or AI-assisted execution workflows.
  • Experience building or self-hosting LLM infrastructure.
  • Familiarity with Kafka or similar streaming technologies.
  • Familiarity with authentication, permissions and access control systems (e.g. OIDC).
  • Contributions to open-source projects.

Base salary range for this position is $180,000 to $300,000 per year.
QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

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