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Remote Payment Processing Engineer Jobs in Indiana

SAIC

Senior Software Engineer

Crane, IN · On-site +1

$122K - $161K/yr

Secret Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a highly motivated and ... SAIC will sponsor the clearance process

Harris

Proven experience as a Software Engineer or similar role. * Proven proficiency in MSSQL and ... Our products empower clients to reach new levels of efficiency through integration and process ...

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

Remote Payment Processing Engineer information

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.

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 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 Indiana?

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

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

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

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

Cities in Indiana 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 Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution.

Generative AI Automation Engineer - Remote Job

Hammond, IN • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 21 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply