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Accelerated Software Development Program Jobs in Charleston, WV

... program. Thousands of hospitals across the country depend on these systems to submit quality ... Oversee the design, development, and delivery of high-quality, innovative software solutions.

Senior Software Engineer

Charleston, WV · On-site

$155K - $173K/yr

Position Overview The Senior Software Engineer is a technical leader responsible for designing ... Development Opportunities * Time Off * Wellness Initiatives * Employee Assistance Program

Software Engineer, Systems integrations

Charleston, WV · Remote

$177K - $209K/yr

Participate in every stage of the software development lifecycle, from initial design and ... program • Employee Assistance Program • Home Internet reimbursement • New hire home office ...

Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and ... This role serves as the primary interface between US Navy stakeholders, business development ...

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Accelerated Software Development Program information

See Charleston, WV salary details

$77.3K

$138.1K

$173.5K

How much do accelerated software development program jobs pay per year?

As of Jun 19, 2026, the average yearly pay for accelerated software development program in Charleston, WV is $138,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $158,400.00 per year, depending on experience, location, and employer.

Which is better, CS or SE?

For a role in an Accelerated Software Development Program, both Computer Science (CS) and Software Engineering (SE) provide strong foundational knowledge; CS focuses on theoretical concepts and algorithms, while SE emphasizes practical application, design, and development processes. The choice depends on your career goals and preferred skill set, but both can lead to similar job opportunities in software development. Gaining experience with programming languages, tools, and project management is essential regardless of the specific degree or focus.

What is the difference between Accelerated Software Development Program vs Software Developer?

AspectAccelerated Software Development ProgramSoftware Developer
CredentialsTypically requires a bachelor’s degree in computer science or related field; may include certifications like Java or PythonRequires a bachelor’s degree in computer science or related field; certifications are optional
Work EnvironmentIntensive training environment, often within a company’s internship or training programFull-time employment in software development teams
Industry UsageUsed by companies to fast-track entry-level talentStandard role for software engineering positions

The Accelerated Software Development Program is a structured, intensive training pathway designed to fast-track individuals into software development roles, often within a company. In contrast, a Software Developer is a standard full-time role requiring similar credentials but without the accelerated training component. The program emphasizes rapid skill acquisition, while the developer role focuses on ongoing project work.

Will AI replace coders by 2040?

As an Accelerated Software Development Program participant, it is important to understand that AI is expected to augment rather than fully replace coders by 2040. AI tools can automate routine coding tasks, but human expertise remains essential for complex problem-solving, design, and oversight. Developing skills in AI integration and advanced programming will be valuable in this evolving environment.

What is L1, L2, L3, and L4 developer?

In the context of an Accelerated Software Development Program, L1, L2, L3, and L4 typically refer to different levels of software developers, with L1 being entry-level and L4 being senior or lead developers. These levels often indicate increasing experience, responsibility, and technical expertise, and may correspond to specific skills, certifications, or project roles within the program.

What engineers make $500,000?

Senior software engineers, especially those in high-demand fields like machine learning, cloud computing, or with extensive experience at major tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires advanced skills, strong performance, and often working in competitive markets or leadership roles.
What are popular job titles related to Accelerated Software Development Program jobs in Charleston, WV? For Accelerated Software Development Program jobs in Charleston, WV, the most frequently searched job titles are:
What job categories do people searching Accelerated Software Development Program jobs in Charleston, WV look for? The top searched job categories for Accelerated Software Development Program jobs in Charleston, WV are:
Sr. Application Security Engineer

Sr. Application Security Engineer

Lumin Digital

Charleston, WV • Remote

$60.25 - $80.25/hr

Full-time

Posted 21 days ago


Job description

Basic Function

The Senior Application Security Engineer is a hands-on technical leader responsible for securing Lumin Digital’s B2B2C SaaS platform across the full software development lifecycle. This role exists at the intersection of application security and AI-augmented engineering: the ideal candidate actively uses AI-powered tools such as Claude Code and Claude Security in their daily workflow to find vulnerabilities faster, automate remediation, and scale security coverage beyond what traditional approaches allow. As AI rapidly transforms how code is written, reviewed, and deployed, this engineer will lead the effort to secure AI-integrated applications, harden CI/CD pipelines, and establish governance for responsible AI adoption across product and engineering teams. Success in this role requires deep technical fluency, a bias toward building and doing over advising, and the ability to operate independently in a fast-moving, remote-first environment.

Essential Functions and Responsibilities:

  • Lead security architecture reviews for new and existing applications, ensuring secure-by-design principles are embedded from initial design through deployment and ongoing operation.

  • Develop, enforce, and continuously refine secure coding standards across engineering teams through a combination of automated security scans (SAST, DAST, SCA), AI-assisted code review using tools such as Claude Code, periodic manual code audits, and targeted secure development training.

  • Own the design, implementation, and evolution of Application Security Posture Management (ASPM) capabilities, integrating signals from static analysis, dynamic testing, software composition analysis, and runtime telemetry to build risk-scoring models that balance exploitability, data sensitivity, and business impact.

  • Continuously improve threat modeling frameworks across application components, third-party integrations, cloud-native architectures, and AI/LLM-powered features, leveraging tools such as Claude Security for accelerated threat model generation and scenario analysis.

  • Develop custom security automation tools and scripts to improve detection and response capabilities across cloud environments, including AI-assisted vulnerability auto-fix workflows and integration of AI-powered security tooling into CI/CD pipelines.

  • Own and operate the company’s bug bounty program end-to-end: define program strategy and scope, triage and validate external researcher submissions, assess severity, and maintain productive engagement with the security research community.

  • Manage vulnerability triage and prioritization processes, ensuring vulnerabilities are assessed based on exploitability, business impact, and compliance requirements, and that remediation timelines align with organizational risk tolerance.

  • Influence product roadmaps by identifying and advocating for security enhancements aligned with evolving regulatory requirements, industry best practices, and the emerging threat landscape for AI-integrated applications.

  • Mentor security engineers and developers through hands-on guidance in secure coding, vulnerability remediation, and effective use of AI-augmented security workflows.

  • Present security findings, risk assessments, and program metrics to senior leadership, clients, auditors, and regulators in a clear, actionable manner.

  • Perform other duties as assigned.

Physical Demands:

  • While performing the duties of this job, the employee is regularly required to sit; use hands to type, handle, or feel and talk or hear.

  • Specific vision abilities required by this job include close vision.

  • Ability to occasionally lift/move up to 25 pounds.

  • Individuals with a disability who are otherwise able to perform the essential functions of the job may request reasonable accommodation through the Human Resources department.

Supervisory Responsibility:

None

Position Specifications

Education:

  • Bachelor’s in Computer Science, Cybersecurity, Information Assurance, Software Engineering, or a related field, or an equivalent combination of education and experience.

  • Preferred certifications: CSSLP, OSCP, GWEB, or GWAPT.

Experience:

  • Seven (7+) years of progressive experience in application security, software security engineering, or a closely related domain within production SaaS environments.

  • Extensive hands-on experience in secure software development, DevSecOps pipeline design, and security testing methodologies (SAST, DAST, SCA, penetration testing).

  • Demonstrated experience securing large-scale cloud-native applications, APIs, and microservices architectures.

  • Experience leading application security initiatives, defining program strategy, and mentoring engineering teams on secure development practices.

  • Demonstrated, regular hands-on use of AI-powered security and development tools (e.g., Claude Code, Claude Security, or comparable coding/security assistants) as part of daily security engineering workflows, not solely in an evaluative, advisory, or training capacity.

  • Experience assessing AI-specific attack surfaces in LLM-integrated applications, including prompt injection, context leakage, insecure tool use, and model denial-of-service.

Knowledge, Skills, & Abilities:

Required:

  • Deep expertise in AWS security, Kubernetes security, and cloud-native application security best practices.

  • Strong programming proficiency with the ability to review and assess security risks in one or more of: Java, C#, JavaScript/TypeScript, Python, Swift, or Kotlin.

  • Expertise in secure authentication and authorization mechanisms, including OAuth 2.0, OIDC, SAML, JWT, WebAuthn, and Zero Trust principles.

  • Hands-on proficiency with AI-augmented security workflows, including daily use of AI tools (e.g., Claude Code, Claude Security) for vulnerability discovery, remediation assistance, threat modeling, and security automation across the SDLC.

  • Strong understanding of OWASP Top 10, OWASP Top 10 for LLM Applications, SANS 25, CVSS/EPSS scoring, and MITRE ATT&CK framework.

  • Ability to identify, assess, and mitigate prompt injection vulnerabilities (direct and indirect) in LLM-integrated applications through input validation, output sanitization, instruction hierarchy enforcement, and adversarial prompt testing.

  • Experience with secure context window management in AI-powered products, including preventing sensitive data leakage, enforcing context isolation boundaries, and defining data classification policies for AI model inputs.

  • Hands-on experience with security automation and scripting (Python, Bash, or equivalent).

  • Proficiency in penetration testing methodologies, including automated and manual security testing of web applications, APIs, and mobile platforms.

  • Strong knowledge of encryption standards, cryptographic best practices, and secrets management.

  • Ability to communicate complex security concepts to both technical and non-technical audiences, and to present risk assessments to senior leadership and external stakeholders.

  • Demonstrated ability to work independently in a remote setting while maintaining high performance and accountability.

Preferred:

  • Experience evaluating the security posture of AI providers (API security reviews, data residency assessments, vendor risk questionnaires, and contractual security requirements).

  • Familiarity with AI model access controls and secrets hygiene in AI pipelines, including least-privilege principles for LLM tool integrations and securing model inference endpoints.

  • Experience with SIEM, WAF, and security monitoring tools.

  • Familiarity with cloud security controls in AWS, including IAM, security groups, KMS, Lambda security, and cloud monitoring.

  • Strong project management abilities and experience collaborating across product, engineering, and compliance teams.

Travel:

  • Minimal, generally 12 days or less per year, ~2X team get-togethers a year.

LIFE AT LUMIN DIGITAL

Lumin Digital is a trailblazer in digital banking solutions, driven by a unique approach to technology, service, and people. We empower credit unions and banks by creating cutting-edge digital experiences that continuously serve, engage, and grow their membership base — and as a 100% cloud-native company, we're purpose-built to unlock the full advantages of the cloud for financial institutions and their users.

At Lumin, we thrive on curiosity and innovation. Our culture is built on trust in our expertise and decisions, respect for diverse perspectives and talents, and boldness in pursuing new ideas. These values shape a workplace where collaboration thrives, ideas flourish, and new possibilities are discovered every day. We encourage our team to explore, experiment, and challenge the status quo — because continuous improvement isn't just a goal, it's how we operate.

Benefits Include We take care of our people with medical, dental, and vision insurance, a 401(k) with company match, flexible PTO plus 12 paid holidays, paid sick leave, and paid parental and family leave. We also offer a lifestyle spending account, tuition reimbursement, and a cell phone stipend. Additional details are provided during the interview process.

Lumin Digital is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis.

For more information, visit lumindigital.com.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.