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Remote Payment Processing Engineer Jobs in Colorado

Signifyd

Senior Machine Learning Engineer I // II

Denver, CO · On-site +1

$107K - $147K/yr

Trusted by thousands of leading merchants across more than 100 countries, we securely process ... Previous experience in fraud, fintech, payments, or e-commerce. * Passion for writing well-tested ...

Maxar

Algorithm Engineer

Westminster, CO · On-site +1

$102K - $136K/yr

Design, develop, and optimize image processing algorithms. * Apply mathematical and statistical ... Experience with geospatial, photogrammetric, or remote sensing applications. * Experience with ...

PNC Bank

Head of Sales, Linga

Arvada, CO · On-site +1

Preferred Experience Deep understanding of merchant services, payment processing, and POS ... remote work in select geographic locations, subject to approval by PNC. If approved, work must be ...

Consor Engineers

Water & Wastewater Engineer

Denver, CO · On-site +1

$100/hr

We remain open to remote work options for applicants whose background and performance standards ... Familiarity with treatment facility design, process modeling, and permitting. * Proficiency in ...

Consor Engineers

Water & Wastewater Engineer

Denver, CO · On-site +1

$100/hr

We remain open to remote work options for applicants whose background and performance standards ... Familiarity with treatment facility design, process modeling, and permitting. * Proficiency in ...

Consor Engineers

Water & Wastewater Engineer

Denver, CO · On-site +1

$100/hr

We remain open to remote work options for applicants whose background and performance standards ... Familiarity with treatment facility design, process modeling, and permitting. * Proficiency in ...

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All JobsPayment Processing Engineer JobsRemote Payment Processing Engineer JobsRemote Payment Processing Engineer Jobs in Colorado

Remote Payment Processing Engineer information

How does a remote payment processing engineer typically collaborate with cross-functional teams to ensure secure and efficient transactions?

As a Remote Payment Processing Engineer, you will frequently work with product managers, security specialists, and QA teams to design, implement, and maintain payment solutions. Collaboration often involves participating in virtual meetings to discuss new features, resolving transaction issues, and ensuring compliance with industry standards like PCI DSS. Close teamwork is essential to identify potential vulnerabilities, optimize transaction speed, and deliver a seamless payment experience for end-users. Clear communication and a proactive approach to problem-solving are key, especially when coordinating across different time zones.

What are the key skills and qualifications needed to thrive as a remote payment processing engineer, and why are they important?

To thrive as a Remote Payment Processing Engineer, you need strong proficiency in backend programming (such as Java, Python, or Node.js), understanding of payment protocols, and a background in computer science or related fields. Familiarity with payment gateways (like Stripe or PayPal), PCI DSS compliance, and experience with secure transaction systems are typically required. Excellent problem-solving, attention to detail, and effective remote communication skills help you stand out in this role. These abilities ensure secure, reliable, and seamless payment solutions in a distributed work environment.

What does a remote payment processing engineer do?

A Remote Payment Processing Engineer is responsible for developing, maintaining, and optimizing systems that handle electronic payments, such as credit card transactions and digital wallets, often working from a remote location. They ensure that payment processes are secure, reliable, and compliant with industry standards like PCI DSS. Their role includes integrating payment gateways, troubleshooting transaction issues, and collaborating with other developers to implement seamless payment solutions for businesses. By working remotely, they can support global teams and clients, providing technical expertise from anywhere with an internet connection.

What is the difference between Remote Payment Processing Engineer vs Remote Payment Systems Analyst?

AspectRemote Payment Processing EngineerRemote Payment Systems Analyst
Required CredentialsBachelor's in Computer Science, certifications in payment systems or cybersecurityBachelor's in Information Systems, certifications in payment industry standards
Work EnvironmentTechnical teams, software development, system testingAnalysis, reporting, system evaluation, client interaction
Employer & Industry UsageFintech companies, banks, payment service providersFinancial institutions, payment processors, consulting firms
Common Search & ComparisonFocuses on system development and integrationFocuses on system analysis and optimization

The Remote Payment Processing Engineer primarily develops and maintains payment systems, ensuring secure and efficient transactions. In contrast, the Remote Payment Systems Analyst evaluates and analyzes payment processes to improve performance and compliance. Both roles require knowledge of payment industry standards but differ in their focus on technical development versus system analysis.

What are popular job titles related to Remote Payment Processing Engineer jobs in Colorado?

For Remote Payment Processing Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Remote Payment Processing Engineer jobs in Colorado look for?

The top searched job categories for Remote Payment Processing Engineer jobs in Colorado are:

What cities in Colorado are hiring for Remote Payment Processing Engineer jobs?

Cities in Colorado with the most Remote Payment Processing Engineer job openings:

Remote Payment Processing Engineer jobs near you
Infographic showing various Remote Payment Processing Engineer job openings in Colorado as of August 2026, with employment types broken down into 62% Full Time, 6% Part Time, 6% Temporary, and 26% Contract. Highlights an 3% In-person, and 97% Remote job distribution.

Senior Machine Learning Engineer I // II

Signifyd

Denver, CO • On-site, Remote

$107K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 4 days ago

Job description

At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients' success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy.
Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values here!
The Senior Machine Learning Engineer will join our ML team. This team is responsible for building, maintaining, and monitoring the production ML models and offline experimentation frameworks that are at the core of Signifyd's product. This includes the core fraud detection model that decides the majority of our traffic, alongside our model training and evaluation infrastructure. We work closely with Platform Engineering teams to contribute novel modeling methods, advanced feature engineering, and robust statistical practices.
Our Culture
We value tenacity, curiosity, and a hunger for learning. Our adversaries are highly motivated fraudsters looking to exploit any gap. We seek equally motivated individuals who are passionate about keeping our customers safe while pulling the field of adversarial machine learning forward.
The Role
As a Senior Machine Learning Engineer, you will be a driver of technical execution within the ML team. You won't just build models-you'll own the end-to-end lifecycle of high-impact ML projects, from offline experimentation to deployment to production. You will be responsible for improving model performance, refining our experimentation processes, and ensuring our fraud detection systems are robust, scalable, and scientifically sound.
Responsibilities:
  • Expand ML Capabilities - Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability.
  • Enable High-Velocity Experimentation - Own the design and implementation of ML pipeline components that accelerate our innovation
  • Collaborate Across Functions - Partner with Product, Engineering, and Risk teams to translate business requirements into technical solutions and ensure ML initiatives align with customer needs.
  • Raise the Bar - Foster a culture of technical excellence by championing best practices in testing, documentation, model monitoring, and development.

Requirements:
  • Education: A degree in Computer Science, Statistics, or a comparable quantitative field.
  • Experience: 4-6+ years of post-undergrad work experience in a production-grade ML environment.
  • Technical Depth: Strong foundation in machine learning theory, statistical evaluation, and experience with supervised/unsupervised learning at scale.
  • Execution Focus: Proven track record of taking ML projects from research/prototype to high-scale production environments.
  • Communication: Ability to communicate technical findings clearly to both technical peers and non-technical stakeholders.
  • Tech Stack: Proficiency in Python, SQL, key ML libraries, and Spark
  • Mindset: A strong outcome-oriented mindset-you care about the "why" behind the models and the business impact they create.
  • Attention to detail is critical in fraud prevention. To demonstrate this, please start your response to the first application question with the word 'Stochastic'

Nice to have:
  • Previous experience in fraud, fintech, payments, or e-commerce.
  • Passion for writing well-tested production-grade code
  • A Master's Degree or PhD.
Why Join Us?
  • Make an Impact - Your work will directly shape the future of fraud prevention, protecting billions of payments.
  • Lead & Grow - Drive high-visibility initiatives and develop leadership skills in a fast-paced, high-growth environment.
  • Innovate at Scale - Work with cutting-edge ML technologies and experiment freely to push the boundaries of what's possible.
  • Collaborative Culture - Join a team that values curiosity, ownership, and continuous learning.

#LI-Remote
Benefits in our US offices:
  • Discretionary Time Off Policy (Unlimited!)
  • 401K Match
  • Stock Options
  • Annual Performance Bonus or Commissions
  • Paid Parental Leave (12 weeks)
  • On-Demand Therapy for all employees & their dependents
  • Dedicated learning budget through Learnerbly
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Flexible Spending Account (FSA)
  • Short Term and Long Term Disability Insurance
  • Life Insurance
  • Company Social Events
  • Signifyd Swag

Compensation:
In the United States, each work location is assigned a specific pay zone, which determines the salary range for a given position. The starting base salary for the selected candidate will be based on a variety of factors, including job-related skills, experience, qualifications, geographic location, and current market conditions.
Base Salary Ranges by Pay Zone:
  • Tier 1 (NYC/SF Bay Area/Seattle): $160,000 - $190,000 annually
  • Tier 2 (DC Metro/Austin/Chicago/Denver/Boston/Los Angeles/San Diego):$150,000 - $180,000 annually
  • Tier 3 (US - All Other): $140,000 - $170,000 annually
Equity: This role is eligible for a stock option grant of 4,000 stock options, based on the position level and internal compensation guidelines.
Bonus: This role is eligible for an annual performance bonus of up to 10% of base salary.
We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
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