ZipRecruiter

Log In

1

Secure Software Developer Jobs in Trenton, NJ (NOW HIRING)

Nfinity LLC

Senior AWS Software Developer

Philadelphia, PA · On-site

$55 - $72.75/hr

... process engineers and software quality assurance to ensure low defect rates. • Execute ... secure coding practices to further our cyber security requirements. • Learn new things and be ...

Nfinity LLC

Senior AWS Software Developer

Philadelphia, PA

$55 - $72.75/hr

Make that user experience world-class by working with process engineers and software quality ... Adhere to and promote secure coding practices to further our cyber security requirements. Learn new ...

Aveva

Senior Software Engineer

Philadelphia, PA · Hybrid

$124K - $207K/yr

Experience with CI/CD pipelines, DevOps practices, and containerized environments * Strong understanding of secure software development practices, including threat modeling Desired Skills and ...

previous pagenext page

Showing results 21-40

All JobsSecure Software Developer JobsSecure Software Developer Jobs in Trenton, NJ

Secure Software Developer information

See Trenton, NJ salary details

$48.1K

$112.2K

$166.5K

How much do secure software developer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for secure software developer in Trenton, NJ is $112,153.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $130,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a secure software developer?

To thrive as a Secure Software Developer, you need strong programming abilities, a solid understanding of cybersecurity principles, and experience with secure coding practices, often supported by a degree in computer science or a related field. Familiarity with tools like static code analyzers, vulnerability scanners, and security frameworks, as well as certifications such as CSSLP or CEH, are commonly required. Attention to detail, problem-solving, and effective communication are vital soft skills in this role. These skills and qualifications are crucial to building resilient software and protecting organizations from evolving security threats.

What are some common challenges secure software developers face when integrating security into the software development lifecycle?

Secure Software Developers often encounter challenges such as balancing application performance with security controls, keeping up with constantly evolving threats, and ensuring secure coding practices are consistently followed across development teams. They must also work closely with other developers, QA testers, and DevOps professionals to implement security requirements without slowing down project timelines. Regular code reviews, automated security testing, and ongoing collaboration with stakeholders are essential to overcoming these challenges and delivering robust, secure software.
What job categories do people searching Secure Software Developer jobs in Trenton, NJ look for? The top searched job categories for Secure Software Developer jobs in Trenton, NJ are:
What cities near Trenton, NJ are hiring for Secure Software Developer jobs? Cities near Trenton, NJ with the most Secure Software Developer job openings:
Secure Software Developer jobs near you

Software Developer / Engineer - Philadelphia, PA (Locals Only)

Apetan Consulting llc

Philadelphia, PA • On-site

$80 - $150/hr

Contractor

Posted 14 days ago

Job description

Software Developer / Engineer
Location: Philadelphia, PA 
Work Schedule: Hybrid 3 days on site, 2 remote


Position Overview

We are seeking a Software Developer / Engineer to help design and implement an on-premises Large Language Model (LLM) platform with Retrieval-Augmented Generation (RAG) capabilities. This role will focus on deploying open-source AI models, integrating vector databases, and building secure, enterprise-grade AI solutions in a private environment.

This is an excellent opportunity for a developer with hands-on experience in modern AI technologies who enjoys building scalable, high-performance systems.

Responsibilities

  • Deploy and optimize open-source large language models (LLMs) such as Meta Llama 3 and Mistral/Mixtral in on-premises or private environments.
  • Develop Python-based applications for LLM inference, prompt engineering, and model integration.
  • Optimize CPU-based model inference through quantization and performance tuning.
  • Design and implement Retrieval-Augmented Generation (RAG) (RAG) pipelines.
  • Configure and manage open-source vector databases such as Qdrant, Chroma, Milvus, or pgvector.
  • Generate and manage embeddings while implementing metadata filtering strategies.
  • Support enterprise security requirements, including air-gapped deployments, access controls, data privacy, and audit logging.
  • Produce technical documentation, deployment guidance, and knowledge transfer materials for internal teams.
  • Build a working prototype integrating an LLM, vector database, and RAG architecture.

Required Qualifications

  • Professional experience deploying open-source LLMs (e.g., Meta Llama 3, Mistral/Mixtral) in on-premises or private environments.
  • Strong Python development experience.
  • Hands-on experience with LLM inference, prompt engineering, and AI application integration.
  • Experience optimizing CPU-based inference through model quantization and performance tuning.
  • Experience with vector databases such as Qdrant, Chroma, Milvus, or pgvector.
  • Proven experience implementing Retrieval-Augmented Generation (RAG) solutions.
  • Understanding of enterprise security, data privacy, air-gapped environments, access controls, and audit logging.

Preferred Qualifications

  • Experience with LangChain or LlamaIndex.
  • Familiarity with Docker and Kubernetes.
  • Experience with inference frameworks such as vLLM, llama.cpp, or Hugging Face Transformers.
  • Experience with Rust, Go, or C++.
  • Previous experience working in enterprise or regulated environments.

Deliverables

  • Reference architecture and deployment guidance.
  • Working prototype integrating an LLM, vector database, and RAG solution.
  • Technical documentation and knowledge transfer to internal teams.