The Forward Deployed Engineer is a technical force multiplier who immerses within the Revenue Technology & Solutions (RevTech), Professional Services and adjacent frontline teams to turn recurring, bulk and manual technical work into durable tools, automation and AI-enabled workflows.
Locations (20)
United States
Arizona, United States
California, United States
Colorado, United States
Florida, United States
Georgia, United States
Show all 20 locations
Idaho, United States
Indiana, United States
Kentucky, United States
Massachusetts, United States
Maine, United States
Michigan, United States
Compensation
The base salary for this position is $90,000 - $120,000 annually. Consistent with applicable laws, compensation will be determined based on the candidate's level, relevant skills, qualifications, and experience along with requirements for the position and annual financial plans. Skillable is a distributed first team with employees working across the U.S., and we do not consider geography when determining compensation ranges. Pay range and current benefit offerings are effective for 90 days from posting date. Standard employment offerings are subject to potential change upon periodic review and analysis, at the discretion of Skillable.
Responsibilities
Own solutions end-to-end, from discovery and prototyping through implementation, deployment, documentation, adoption and ongoing maintenance.
Establish patterns and standards for reusable automation, reducing one-off scripts and ensuring solutions are supportable, secure and maintainable.
Monitor and troubleshoot production automations and integrations, addressing failures and improving reliability, observability and error handling over time.
Evaluate new technologies and AI capabilities through practical prototyping, recommending when they should be adopted, standardized or avoided.
Embed with RevTech and Professional Services teams to gather technical requirements directly from stakeholders and users, translate ambiguous or manual workflows into clear technical solutions and implementation plans, and prioritize high-leverage automation opportunities based on broad business impact, volume, time saved and overall risk.
Requirements
Bachelor's degree in Computer Science, Software Engineering, Information Systems or a related field
Build and evolve a healthcare electronic health record (EHR) technology platform to enable medical practices of all sizes to deliver more informed, personalized, interactive, and adaptable care.
Compensation
$203,798.00 per year
Responsibilities
Build and evolve a healthcare electronic health record (EHR) technology platform to enable medical practices of all sizes to deliver more informed, personalized, interactive, and adaptable care.
Design, develop, and maintain high-traffic, scalable, secure full-stack applications supporting healthcare or regulated environments, including HIPAA-compliant systems and patient data management using modern web technologies.
Develop and maintain backend services, APIs, and data models supporting application functionality and integrations using relational databases including MySQL, PostgreSQL, or MariaDB.
Develop frontend applications using JavaScript/TypeScript frameworks including React, ensuring responsive and accessible web applications.
Maintain and migrate legacy frontend systems built using the Elm language and framework.
Requirements
Bachelor’s degree in Computer Science, Software Engineering, or a closely related field.
We are seeking a detail-oriented Software Engineering Evaluator to assess and improve the quality of AI-generated software development work.
Compensation
The pay range for this position is $45000.00 - $60000.00/yr.
Responsibilities
Create realistic software engineering tasks based on real-world development workflows, including technical requirements, supporting documentation, test cases, and code repositories.
Evaluate AI-generated code solutions against professional engineering standards for correctness, maintainability, performance, and reliability.
Compare outputs from different AI systems using identical requirements and environments, documenting relative strengths and areas for improvement.
Develop test plans, evaluation rubrics, and success criteria that clearly define expected functionality, coding standards, and edge-case handling.
Review code changes, implementation decisions, automated tests, and design approaches to verify technical quality and adherence to requirements.
Requirements
Bachelor's degree (completed or in progress) in Computer Science, Software Engineering, Information Systems, or a related discipline, or equivalent practical experience.
Nice to have: containerization
Nice to have: CI/CD pipelines
Nice to have: AI-powered coding assistants
Nice to have: large language model tools such as ChatGPT, Claude, GitHub Copilot
The Requirements, Validation & Verification Engineer will support the development and delivery of Human Machine Interface (HMI) display solutions for Energy & Transportation applications.
Compensation
Payrate: $50.00 - $52.00/hr.
Pay Transparency: The typical base pay for this role across the U.S. is: $50.00 - $52.00 /hour.
Responsibilities
Work with internal customers, systems engineers, and technical leads to understand application and system needs.
Participate in requirements deep dives, design reviews, and technical discussions.
Develop, document, review, and maintain system and HMI software requirements.
Translate customer and system-level needs into clear, testable requirements and specifications for software development teams.
Collaborate with software developers to clarify requirements and resolve technical questions during implementation.
Requirements
Bachelor’s degree in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science, or a related technical discipline.
Role: Java full stack
Location: Mt Laurel, NJ
Rate: $60/hr
Role Descriptions: "10+ years of software development experience.Expert-level experience in Java| Spring Boot| and Microservices architecture.Proven experience designing enterprise-scale distributed systems.Strong expertise in: JavaScript | TypeScript| React| Angular| or Vue.js |Node.jsDeep knowledge of API design| API Gateways| webhooks| and integration patterns.Extensive hands-on experience with Kafka| MQ| and event-driven architectures.Strong expertise in Kubernetes| Docker| and container orchestration. Experience designing and implementing cloud-native solutions on AWS or Azure.Advanced understanding of CI/CD| DevOps| Infrastructure as Code| and deployment automation.Experience with security| scalability| resiliency| observability| and performance tuning.Ability to drive architecture discussions and technology decisions.Experience leading development teams and mentoring engineers."
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