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Remote Devsecops Engineer Jobs in Narberth, PA (NOW HIRING)

Overview Location * US-Remote or Marlton, NJ area Job Title * Software Engineer Salary ... Apply secure coding practices and support DevSecOps workflows. * Utilize AI-assisted development ...

Flexible / US-Remote Role Summary Bentley Systems is seeking a director level, Division Security ... Lead DevSecOps and SSDLC practices including threat modeling, architecture reviews, and ...

Flexible / US-Remote Role Summary Bentley Systems is seeking a director level, Division Security ... Lead DevSecOps and SSDLC practices including threat modeling, architecture reviews, and ...

United States (Remote) Department: Infrastructure & DevOps Reports To: Chief Technology Officer ... Drive adoption of DevSecOps practices including automated security scanning, secrets management ...

Remote Devsecops Engineer information

See Narberth, PA salary details

$36.3K

$110.8K

$183.1K

How much do remote devsecops engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for remote devsecops engineer in Narberth, PA is $110,763.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,300.00 and $144,800.00 per year, depending on experience, location, and employer.

What is a Remote DevSecOps Engineer job?

A Remote DevSecOps Engineer is responsible for integrating security practices into the development and operations (DevOps) lifecycle while working from a remote location. They ensure secure CI/CD pipelines, automate security testing, and enforce compliance standards across cloud and on-premise infrastructure. Their role involves collaboration with developers, operations teams, and security personnel to identify vulnerabilities, implement security controls, and respond to threats efficiently. By leveraging tools like container security, infrastructure as code (IaC) scanning, and automated security monitoring, they help maintain a secure and agile software development process.

What are some common challenges faced by Remote Devsecops Engineers and how can they be managed?

Remote Devsecops Engineers often encounter challenges such as coordinating security practices across globally distributed teams, ensuring continuous security monitoring in dynamic cloud environments, and quickly responding to incidents. Effective communication, clear documentation, and regular virtual meetings help bridge gaps and align team efforts. Utilizing automated security tools and centralized monitoring systems is essential for maintaining consistent security standards. Proactively seeking collaboration and ongoing professional development can help overcome these hurdles and lead to a rewarding remote work experience.

What are the key skills and qualifications needed to thrive in the Remote Devsecops Engineer position, and why are they important?

To excel as a Remote Devsecops Engineer, you need strong expertise in cloud platforms, CI/CD pipelines, security best practices, and Infrastructure as Code, typically backed by a degree in computer science or a related field. Familiarity with tools such as AWS, Azure, Jenkins, Docker, Kubernetes, Terraform, and certifications like AWS Certified DevOps Engineer or Certified Kubernetes Security Specialist is highly valuable. Excellent problem-solving abilities, proactive communication, and a collaborative mindset are critical soft skills. These capabilities enable seamless integration of security into development and operations, ensuring robust, scalable, and secure systems in distributed teams.

What cities near Narberth, PA are hiring for Remote Devsecops Engineer jobs? Cities near Narberth, PA with the most Remote Devsecops Engineer job openings:
Software Engineer (US-Remote)

Software Engineer (US-Remote)

Gnostech

Marlton, NJ • On-site, Remote

Full-time

Posted 15 days ago


Job description

A Software Engineer is needed to design, develop, and maintain modern software applications and services. The engineer will work within a cross-functional team to build scalable cloud-native applications, microservices, and AI-enabled systems supporting both internal and external products. The role involves collaborating with software development, cybersecurity, and test engineering teams to design, implement, document, and deploy high-quality software solutions.
Overview
Location
  • US-Remote or Marlton, NJ area

Job Title
  • Software Engineer

Salary
  • Commensurate with industry position, depending on experience

Shift
  • Typical: Monday through Friday 9am to 5pm

Travel
  • Less than 5%

Position Responsibilities
  • Design, develop, test, and deploy scalable applications, APIs, and microservices using modern software engineering practices.
  • Build and integrate AI-enabled capabilities into applications, including machine learning models, LLM integrations, and data-driven services.
  • Participate in architecture and design reviews to ensure solutions meet scalability, security, and performance requirements.
  • Develop cloud-native services and containerized applications deployed using Docker and Kubernetes.
  • Integrate AI models, data pipelines, and inference services into production systems.
  • Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product stakeholders.
  • Develop and maintain technical documentation including system architecture diagrams, API specifications, and AI model documentation.
  • Maintain code repositories using modern version control and CI/CD pipelines.
  • Apply secure coding practices and support DevSecOps workflows.
  • Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance productivity and code quality.
  • Monitor and troubleshoot applications in distributed environments using logging, observability, and telemetry tools.

Minimum Security Clearance
  • Must be eligible and pass security screening to obtain DoD Top Secret

Required Qualifications and Skills
  • Strong proficiency in software design, development, and debugging.
  • Experience with modern programming languages such as Java, Python, or similar backend technologies.
  • Experience with Spring Boot, REST APIs, and microservices architectures.
  • Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or modern AI integration tools.
  • Experience integrating AI services, LLM APIs, or intelligent automation capabilities into applications.
  • Experience building containerized applications using Docker and Kubernetes.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with relational databases (MySQL, MariaDB, PostgreSQL).
  • Understanding of CI/CD pipelines, automated testing, and DevSecOps practices.
  • Familiarity with the AI/ML lifecycle including data preparation, model training, evaluation, deployment, and monitoring.
  • Ability to analyze problems, design solutions, and work collaboratively in a team environment.

Additional Desired Qualifications, Skills, Certifications
  • Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.).
  • Experience with vector databases or embeddings systems (Pinecone, Weaviate, Elasticsearch, etc.).
  • Experience implementing MLOps pipelines for model deployment and monitoring.
  • Experience with distributed systems, event streaming, or message queues (Kafka, RabbitMQ).
  • Familiarity with observability platforms (Prometheus, Grafana, ELK stack).
  • Experience with NoSQL databases (MongoDB, Cassandra).
  • Active or ability to obtain DoD Top Secret clearance.

Education and Training Required
  • Bachelor's degree (in Engineering, Computer Science, Math, or related field)

Minimum Years of Experience
  • 2+

Gnostech is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, or disability status. For more information, please visit www.eeoc.gov
If this position requires a government clearance, the applicants selected will be subject to a government security investigation and must meet eligibility requirements for accessing classified information.