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How much do remote full stack software developer jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for remote full stack software developer in Manchester, NH is $59.00, according to ZipRecruiter salary data. Most workers in this role earn between $49.09 and $67.98 per hour, depending on experience, location, and employer.

Can a full stack developer work remotely?

Yes, full stack developers can work remotely, as many companies offer remote positions that require skills in front-end and back-end development, programming languages, and collaboration tools. Remote work for this role often depends on company policies and project requirements.

What are the key skills and qualifications needed to thrive in the Remote Full Stack Software Developer position, and why are they important?

A Remote Full Stack Software Developer needs strong programming expertise in both front-end (HTML, CSS, JavaScript frameworks) and back-end technologies (such as Node.js, Python, Java), often supported by a relevant degree or equivalent experience. Familiarity with version control systems (like Git), cloud services (such as AWS or Azure), databases, and common frameworks (React, Angular, Django, etc.) is highly valued, and certifications in these areas can be advantageous. Effective communication, time management, and self-motivation are critical soft skills for collaborating with distributed teams and managing tasks independently. These competencies enable developers to deliver robust, scalable software solutions while navigating the challenges of remote work environments.

Which company is 100% remote?

Many companies hire remote full stack software developers and operate entirely remotely, including organizations like GitLab, Automattic, and Basecamp. These companies often have distributed teams, flexible schedules, and rely on collaboration tools such as Slack and GitHub. Job seekers should verify each company's remote policy before applying.

What does the typical workday look like for a Remote Full Stack Software Developer?

Remote Full Stack Software Developers usually start their day with a virtual stand-up meeting to align with team members on project progress and priorities. Throughout the day, they split their time between front-end and back-end development tasks, debugging, code reviews, and collaborating via chat or video calls. They often work independently but are expected to stay responsive to team communications and contribute to agile workflows. A typical week may also include planning sessions, knowledge sharing, and opportunities to mentor or be mentored by peers. This structure allows for both autonomy and meaningful collaboration within a supportive remote team environment.

What is a Remote Full Stack Software Developer job?

A Remote Full Stack Software Developer is responsible for building and maintaining both the front-end and back-end of web applications while working from a remote location. They work with various technologies, including databases, APIs, server-side programming, and client-side frameworks, to create fully functional applications. This role requires strong problem-solving skills, knowledge of multiple programming languages, and the ability to collaborate with remote teams using communication and project management tools.

Will Fullstack be replaced by AI?

Full Stack Software Developers perform tasks that involve designing, coding, and maintaining both frontend and backend systems. While AI tools can assist with coding and automate certain repetitive tasks, they are unlikely to fully replace the need for human developers who require problem-solving, creativity, and understanding of complex systems. The role is expected to evolve with AI integration, emphasizing skills in AI-assisted development and system architecture.

Are full stack devs still in demand?

Full stack software developers are currently in high demand due to their versatility in handling both front-end and back-end development. Employers seek these professionals for their ability to work across multiple technologies, including JavaScript, Python, and cloud platforms, often requiring knowledge of frameworks like React or Node.js. The demand is expected to remain strong as companies continue to prioritize agile, full-spectrum development skills.
What are popular job titles related to Remote Full Stack Software Developer jobs in Manchester, NH? For Remote Full Stack Software Developer jobs in Manchester, NH, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Software Developer jobs in Manchester, NH look for? The top searched job categories for Remote Full Stack Software Developer jobs in Manchester, NH are:
Remote Full Stack Software Developer jobs near you
AI Information Security Engineer

AI Information Security Engineer

Southern New Hampshire University

Manchester, NH • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Southern New Hampshire University rating

8.9

Company rating: 8.9 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

28th of 541 rated colleges and universities

Job description

Southern New Hampshire University is a team of innovators. World changers. Individuals who believe in progress with purpose. Since 1932, our people-centered strategy has defined us - and helped us grow a team that now serves over 180,000 learners worldwide.
Our mission to transform lives is made possible by talented people who bring diverse industry experience, backgrounds and skills to the university. And today, we're ready to expand our reach. All we need is you.
Make an impact - from near or far
At SNHU, you'll have the option to work remotely in the following states: Alabama, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Mississippi, Missouri, Nebraska, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin and Wyoming.
We ask that our remote employees have access to a reliable internet connection and a dedicated, properly equipped workspace that is free of distractions. Employees must reside in, and work from, one of the above approved states.
The opportunity
The AI Security Engineer will report to the Director of Information Security Engineering. You will be hands-on security engineering role responsible for securing AI systems, models, and agent-based workloads throughout development. You will focus on practical threat modeling, control implementation, testing, and monitoring to protect AI training data, inference pipelines, agents, tools, and generated outputs from misuse, compromise, or unintended harm. You will partner with AI engineering, platform, and security teams to ensure AI systems are secure by design, resilient to misuse, and observable in production at scale.
You will work 100% remotely from any of our approved states. #LI-Remote
What You'll Do:
  • Document AI system components and data flows, including prompts, context, embeddings, training data, model artifacts, outputs, and agent tool interactions.
  • In collaboration with the AI team, identify attack surfaces, trust boundaries, and privilege transitions within AI pipelines and agent workflows and perform structured threat modeling for AI systems during design, development, and change cycles in collaboration with the AI team.
  • In collaboration with the AI team, translate identified threats into concrete, relevant security requirements and engineering tasks in collaboration with the AI team.
  • Implement technical controls informed by established AI security frameworks (e.g., OWASP LLM Top 10, NIST AI RMF) according to compliance requirements and AI governance guidance.
  • Design, build, and maintain automated security testing for AI systems within CI/CD pipelines, supports testing for prompt injection, unsafe model behavior, misconfigured access, data exposure, and agent misuse. Ensure AI security controls are validated during build, deployment, and change cycles, with failures surfaced early to engineering teams.
  • Implement technical guardrails to protect sensitive data used by AI systems, including retrieval of augmented generation (RAG) pipelines and external data sources.
  • In collaboration with the AI Team, Design and operate controls for sensitive data identification, minimization, redaction, and leakage prevention-addressing PII and other protected data in prompts, context, embeddings, and outputs to ensure privacy preserving AI operation in production environments.
  • Design, implement, and maintain security controls across the full AI/ML lifecycle-including data ingestion, training, evaluation, deployment, inference, and CI/CD-covering model artifacts, configurations, embeddings, prompts, and deployment patterns.
  • Implement and operate runtime safeguards for AI services and agent-based systems, including input and output controls, context isolation, tool use restrictions, and abuse prevention mechanisms (e.g., rate limiting and anomaly detection), ensuring safe operation without breaking functional requirements.
  • Design security controls that balance safety, system performance, reliability, and developer usability in production of AI services.
  • Implement and operate secure identity, secrets, and access control patterns for AI services, agents, and integrations, enforcing least privilege, integrating with enterprise IAM and key management systems, and monitoring credential usage and rotation.
  • Instrument AI systems to produce actionable logging, metrics, and traces; build dashboards and alerts for detecting prompt manipulation, anomalous usage, and unexpected behavior; and integrate AI specific signals into enterprise security operations workflows.
  • Embed with AI engineering and platform teams to design and maintain technical security controls; develop reusable security components and patterns; contribute documentation and runbooks; and, in collaboration with the AI team, communicate AI security requirements and remediation outcomes to technical, non-technical, and cross functional stakeholders.

What We're Looking For:
  • 5+ years of experience in IT or cybersecurity, with engineering responsibilities (i.e. IT Security or Application Development)
  • 2 + years of experience securing AI/ML systems or adjacent domains with demonstrated application to AI workloads.
  • Experience with security engineering principles, including authentication, authorization, logging, and monitoring.
  • Experience with AI/ML concepts such as models, training data, inference pipelines, embeddings, and agent frameworks.
  • Experience modeling data flows, trust boundaries, and attack paths in AI systems.
  • Experience mitigating threats such as prompt injection, model poisoning, model theft, and data leakage.
  • Experience implementing controls such as input validation, output filtering, context isolation, and abuse detection.

We believe real innovation comes from inclusion - where different experiences, perspectives and talents are celebrated. So if you're wondering whether SNHU is right for you, take the leap and apply. You might be just the person we're looking for.
Compensation
The annual pay range for this position is $94,130.00 - $150,634.00. Actual offer will be based on skills, qualifications, experience and internal equity, in addition to relevant business considerations. We expect this position to be hired in the following target hiring range $104,012.00 - $140,723.00.
Exceptional benefits (because you're exceptional)
You're the whole package. Your benefits should be, too. As a full-time employee at SNHU, you'll get:
  • High-quality, low-deductible medical insurance
  • Low to no-cost dental and vision plans
  • 5 weeks of paid time off (plus almost a dozen paid holidays)
  • Employer-funded retirement
  • Free tuition program
  • Parental leave
  • Mental health and wellbeing resources

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