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Secure Software Developer Jobs in Washington (NOW HIRING)

RIVIDIUM

Software Developer - Advanced

Springfield, VA · On-site

RiVidium Inc. is seeking a Full Stack Software Developer to develop, create, maintain, and write ... Apply secure code documentation. * Capture security controls used during the requirements phase to ...

Medium

Senior Software Developer

Arlington, VA · On-site

$120 - $160/hr

Perform secure software programming to mitigate insider threats and ensure full compliance with Section 508 accessibility standards. * Provide Tier 2 application support to resolve complex technical ...

New

Insight Xcite

Software Developer

Chantilly, VA · On-site

$185 - $240/hr

Software Developer Insight Xcite - Chantilly, Virginia, United States About this position About ... This role involves designing, developing, testing, and maintaining secure applications and services ...

New

VTG

Senior Software Developer

Herndon, VA · On-site

$56 - $74/hr

Overview We are seeking a versatile Senior Software Developer with expertise in secure software engineering. The ideal candidate will combine technical proficiency in development tools and ...

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Secure Software Developer information

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.

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Secure Software Developer jobs near you

Software Engineer | Secure AI

Bestgate Engineering

Columbia, MD • On-site

Full-time

Re-posted 21 days ago

Job description

THE OPPORTUNITY

Bestgate Engineering is hiring for multiple software engineering opportunity at the intersection of backend engineering and applied AI. The role is not about training foundation models; it is about building the secure "paved road" that lets enterprise systems use AI safely, repeatably, and with the right guardrails.

WHAT YOU WILL DO
  • Design and build internal APIs, middleware, routing layers, and reusable services for secure AI integration.
  • Develop Model Context Protocol (MCP) servers and reusable AI skills that connect models to databases, microservices, and external APIs.
  • Implement enterprise guardrails for privacy, sensitive data handling, prompt injection defense, and output validation.
  • Build and test software patterns for non-deterministic AI outputs and agent-like workflows.
  • Work across backend services, applied AI patterns, and secure software delivery practices.
WHAT MAKES YOU COMPETITIVE
  • U.S. citizenship and ability to obtain a U.S. Government security clearance.
  • Strong Java software engineering experience, including modern frameworks and libraries such as Spring or Guava.
  • Experience designing enterprise APIs, RESTful services, and microservice architectures.
  • Familiarity with applied AI concepts such as prompt engineering, tool use, function calling, and Retrieval-Augmented Generation.
  • Comfort with Git, Nexus, Maven, Linux command line workflows, and agile delivery.
  • Strong troubleshooting, testing, and communication skills.
NICE TO HAVE
  • Spring AI, LangChain4j, LangChain, LlamaIndex, vector databases, semantic caching, or AI observability tools.
  • NiFi, Kafka, AWS, Kubernetes, SQL/NoSQL databases, Python scripting, or Big Data platform exposure.
  • DoD 8140/8570 certification readiness if required by the customer.
BEST FIT

Best fit for a backend engineer who wants to make AI usable in real enterprise systems without compromising security or engineering discipline.