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Remote Software Engineer 300K Jobs in Madison, AL

Vervic Inc.

Senior Automation Engineer

Huntsville, AL · Remote

$106K - $139K/yr

Location: 100% Remote. The Senior Automation Engineer is responsible for designing, developing, and ... improve software quality, accelerate delivery, and reduce operational risk. EOE Job ...

ABB

Protection and Control Engineer

AL · Remote

While this is a full remote position, there is preference for candidates located in the Northern ... Proficient software experience should include Easy Power, SKM Powertools, ETAP, Aspen, and EMTP.

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Remote Software Engineer 300K information

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$56.9K

$132.2K

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How much do remote software engineer 300k jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote software engineer 300k in Madison, AL is $132,177.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What is a remote software engineer?

A Remote Software Engineer is a professional who designs, develops, and maintains software applications while working from a location outside of a traditional office environment. Earning a $300K salary as a remote software engineer typically requires advanced technical expertise, experience with in-demand programming languages, and a proven track record in high-impact roles or specialized industries such as finance, big tech, or startups. These positions often involve complex systems architecture, leadership responsibilities, or niche skills, and can be found at leading technology companies or through high-paying contract work. Negotiating competitive compensation, contributing to open-source projects, and continuously updating skills are also important factors in achieving this salary level.

What are the key skills and qualifications needed to thrive as a remote software engineer earning $300K?

To thrive as a Remote Software Engineer at a high compensation level, you need advanced programming skills, deep knowledge of software architecture, and a degree in computer science or equivalent experience. Mastery of languages like Python, Java, or C++, along with expertise in cloud platforms, CI/CD systems, and relevant certifications (such as AWS Certified Solutions Architect), are often required. Exceptional problem-solving, self-motivation, and strong communication skills help you excel in distributed, collaborative environments. These capabilities ensure you can deliver complex solutions independently, drive team success, and make significant contributions that justify top-tier compensation.

What are some common challenges faced by remote software engineers in high-paying roles, and how can they be addressed?

Remote software engineers, especially in high-paying positions, often encounter challenges such as time zone differences, maintaining clear communication with distributed teams, and ensuring productivity without in-person supervision. To address these, it's important to leverage collaboration tools, set clear expectations with team members, and proactively communicate progress and blockers. Regular virtual meetings and structured daily routines can also help maintain alignment and foster a sense of connection within the team.

What is the difference between Remote Software Engineer 300K vs Remote Developer 300K?

AspectRemote Software Engineer 300KRemote Developer 300K
Required CredentialsBachelor's in CS or related field, coding skillsBachelor's in CS or related field, coding skills
Work EnvironmentRemote, collaborative teams, Agile workflowsRemote, project-based, Agile or Scrum teams
Industry UsageTech, finance, startups, enterpriseTech, SaaS, startups, consulting
Common Search IntentHigh-level engineering roles, salary expectationsDevelopment roles, salary comparison

Both Remote Software Engineer 300K and Remote Developer 300K roles require similar technical credentials and often operate in remote, collaborative environments across various industries. The main difference lies in job focus: software engineers typically work on system architecture and complex coding, while developers may focus more on application development. Candidates should choose based on their specific skills and career goals.

What job categories do people searching Remote Software Engineer 300K jobs in Madison, AL look for?

The top searched job categories for Remote Software Engineer 300K jobs in Madison, AL are:

What cities near Madison, AL are hiring for Remote Software Engineer 300K jobs?

Cities near Madison, AL with the most Remote Software Engineer 300K job openings:

Remote Software Engineer 300K jobs near you

Senior Automation Engineer

Huntsville, AL • Remote

Vervic Inc.
See more jobs at Vervic Inc.external

$106K - $139K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

Benefits:
  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance

Role: Senior Automation Engineer.
Location: 100% Remote.
 
 Job Description:
The Senior Automation Engineer is responsible for designing, developing, and maintaining the automation framework that powers the Synthetic Data & Automation Platform supporting the Community Care Network Next Generation (CCN NG) program. This role develops the automated integration validation capabilities that enable continuous testing, rapid regression analysis, and reliable verification of healthcare transaction processing across the CCN NG product portfolio.
 
Working as a member of the Synthetic Data & Automation Engineering Team, the Senior Automation Engineer builds scalable automation frameworks, API validation services, continuous integration pipelines, and reusable execution components that transform synthetic healthcare transaction data into repeatable integration validation. The role emphasizes engineering automation, platform reliability, and continuous delivery over traditional test script development.
 
Reporting to the Automation & Synthetic Data Architect, the Senior Automation Engineer collaborates closely with the Healthcare Interoperability Engineer, Senior Synthetic Data Engineer, Automation Intelligence Engineer, and Integration Validation Engineer to establish a robust automation platform supporting engineering, integration, and release readiness activities.
 
Description Mission:
Design, develop, and continuously evolve the automation capabilities of the CCN NG Synthetic Data & Automation Platform by delivering scalable frameworks, automated integration validation, and continuous engineering pipelines that improve software quality, accelerate delivery, and reduce operational risk.
EOE
 
Job Responsibilities:
 
Automation Platform Engineering
·    Design, develop, and maintain the automation framework supporting end-to-end integration validation.
·    Build reusable automation components capable of executing healthcare transaction workflows across multiple environments.
·    Develop scalable automation services supporting continuous integration, regression validation, and release readiness.
·    Ensure automation solutions are modular, maintainable, extensible, and reusable across the CCN NG product portfolio.
Integration Validation Automation
 
 
·    Develop automated validation for healthcare transaction lifecycles, including eligibility, claims, payment, and related interoperability workflows.
·    Build API validation services supporting system-to-system integration testing.
·    Automate verification of transaction processing, business rules, and expected outcomes using synthetic healthcare transaction data.
·    Develop automated regression suites that rapidly identify functional or integration defects following system changes.
Engineering Pipeline Integration
 
 
·    Integrate automation capabilities into CI/CD and DevSecOps pipelines.
·    Support continuous validation throughout the software delivery lifecycle.
·    Develop automated reporting, execution metrics, and engineering dashboards.
·    Improve engineering efficiency through automation of repetitive validation activities.
Engineering Collaboration
 
 
·    Partner with the Senior Synthetic Data Engineer to integrate synthetic datasets into automated validation workflows.
·    Collaborate with the Automation Intelligence Engineer to operationalize intelligent engineering workflows within the automation platform.
·    Work closely with the Healthcare Interoperability Engineer to ensure validation logic accurately reflects healthcare business rules and interoperability standards.
·    Support the Integration Validation Engineer by providing reliable automation capabilities that facilitate independent validation and release certification.
Platform Reliability
 
 
·    Monitor, maintain, and continuously improve automation framework performance and reliability.
·    Troubleshoot automation failures and identify opportunities for optimization.
·    Promote engineering best practices supporting maintainability, scalability, and operational excellence.
·    Contribute to architecture discussions regarding automation strategy and platform evolution.
Continuous Improvement
 
 
·    Evaluate emerging automation technologies and engineering tools.
·    Recommend enhancements that improve execution speed, reliability, and maintainability.
·    Develop reusable engineering assets that can be leveraged across multiple development and integration teams.
Required Skills:
 
 
·    Experience designing and developing enterprise automation frameworks.
·    Strong programming experience using Python, Java, C#, or comparable modern programming languages.
·    Experience developing automated API validation and systems integration solutions.
·    Experience implementing CI/CD pipelines and DevSecOps practices.
·    Strong understanding of distributed systems, software architecture, and engineering automation.
·    Excellent analytical, troubleshooting, and collaboration skills.
Desired Qualifications:
 
 
·    Experience supporting healthcare payer, provider, or federal healthcare systems.
·    Familiarity with ANSI X12 healthcare transactions and healthcare interoperability standards.
·    Experience building automated integration validation frameworks.
·    Experience working with containerized applications and cloud-native technologies.
·    Experience using AI-assisted software development tools such as Cursor, GitHub Copilot, or similar engineering platforms.
·    Experience with Infrastructure as Code and automated deployment practices.
·    Experience working within Agile software development environments.
Desired Technical Skills
 
 
·    Python, Java, C#, or comparable programming languages
·    API development and validation
·    RESTful services
·    Integration automation frameworks
·    CI/CD platforms
·    DevSecOps practices
·    Git-based source control
·    Containerization (Docker, Kubernetes)
·    Cloud-native application development
·    Test automation frameworks
·    Agile software engineering
Education and Experience:
 
 
·    Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Data Engineering, Information Systems, or a related technical discipline, or equivalent professional experience.
·    Ten (10) or more years of experience, including seven (7) or more years of experience in software engineering, automation engineering, systems integration, or application development.
Success Measures (First 12-18 Months)
The Senior Automation Engineer will be expected to:
 
 
·    Design and deliver the automation framework supporting the CCN NG Synthetic Data & Automation Platform.
·    Implement automated integration validation covering prioritized healthcare transaction workflows using synthetic healthcare transaction data.
·    Integrate automation capabilities into CI/CD pipelines, enabling continuous validation and rapid regression analysis.
·    Develop reusable automation services and engineering components that improve platform scalability, maintainability, and operational efficiency.
·    Reduce manual engineering effort through reliable automation while improving software quality and release confidence.
·    Collaborate across the Synthetic Data & Automation Engineering Team to ensure automation capabilities seamlessly support synthetic data generation, intelligent engineering workflows, and independent integration validation.
·    Continuously enhance the automation platform through innovation, standardization, and adoption of modern engineering practices.

This is a remote position.