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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Software Developer - **Company:** CareerCircle - **Location:** Dallas, TX, United States (Remote available) - **Experience:** Expert - **Salary:** $107,900.0 - $195,050.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon Cloudfront, Data Analysis, Applications Architecture, Systems Engineering, Automation of Tests, Unit Testing, Microsoft Azure, Software Bug Management, Business Systems, C++ (Programming Language), Cloud Computing, Cloud Engineering, Software Quality, Information Systems, Databases, Continuous Integration, Extract Transform Load (ETL), Software Debugging, Linux, DevOps, Programming Tools, Distributed Systems, Django Web Framework, Electronic Data Interchange (EDI), Elasticsearch, Embedded C, Middleware, Embedded Software, Event-Driven Programming, Human-Computer Interaction, Systems Analysis, JavaScript Libraries, Python (Programming Language), PostgreSQL, Location Search Optimization, Machine Learning, Enterprise Messaging Systems, Routing, NoSQL, Octopus Deploy, Object-Oriented Software Development, Performance Tuning, Process Driven Development, Scrum Methodology, BigCommerce, Prometheus, Message Oriented Middleware, Requirements Traceability, Salesforce.Com, Scaled Agile Framework, Software Engineering, Product Software Implementation Methods, Software Requirements Analysis, Software Systems, SQL Databases, Software Testing Automation Framework, Systems Integration, Enterprise Data Management, Transaction Processing (Computing), Warehouse Management Systems, GitHub Copilot, ReactJS, Grafana, Safety Critical Systems, Reliability of Systems, Amazon Marketplace, HybridCloud, AWS ECS, Git, Containerization, Integration Tests, Kubernetes, Information Technology, Data Analytics, Apache Kafka, Celery, Video Streaming, Kibana, Restful APIs, Code Restructuring, Webhooks, GPT, Software Version Control, Devsecops, Docker, Web Api, Programming Languages, Microservices - **Published:** August 23, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/all/all/7d1c398b-2ba6-4d69-8d35-711b48de71c5 ## About the Role * Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience) * 8+ years of relevant experience or a Master's Degree and 6+ years of relevant experience * Hands-on experience building and supporting microservices-based systems * Proficiency in at least one modern programming language (e.g., Java, Python, C++, or similar on a Linux-based system) * Experience or exposure to AI/ML-enabled systems (Claude-Code), automation, or intelligent platforms. * Experience working in Agile environments * Understanding of APIs and distributed system concepts * Ability to obtain and maintain a Public Trust * U.S. citizenship required * Successful completion of background investigations as required by the government customer Preferred / Desired Qualifications * Experience with Git-based version control and CI/CD pipelines * Familiarity with Scaled Agile Framework (SAFe) * Experience working with relational and/or NoSQL databases * Hands-on experience with Kafka or other event-streaming technologies * Cloud experience (AWS, Azure, or GCP) * Containerization and orchestration experience (Docker, Kubernetes) * Experience working in DevSecOps environments * Experience with test automation frameworks and integration of automated test suites into CI/CD pipelines * Desired but not required: Commutable distance to Gaithersburg, MD or Egg Harbor Township, NJ., If you're excited by solving complex problems in regulated, real-world environments - and using AI as a force multiplier rather than a shortcut - we'd like to talk., Kibana GitOps Billing ChatGPT Grafana Argo CD Research Webhooks Debugging Analytics Claude AI Pipelines Operations Leadership Management Automation Resilience Kubernetes E-Commerce PostgreSQL Warehousing Scalability Wholesaling Forecasting RESTful API Bigcommerce Communication Observability Elasticsearch OpenTelemetry Reconciliation GitHub Copilot Solution Design Network Routing Design Thinking Business Systems Technical Design Safety Assurance Systems Thinking Order Management Inventory Control Amazon Cloudfront Celery (Software) Business Problems Influencing Skills Business Valuation Payment Processing Workforce Planning Scalability Design Software Solutions Technical Strategy Amazon Marketplace Workflow Management Supply Chain Acumen Pull/Merge Requests Inventory Management Software Engineering Warehouse Management Cycle Time Variation Warehouse Operations Solution Architecture ERP Systems Knowledge Operational Reporting Third-Party Logistics Prometheus (Software) Cloud-Native Computing Full Stack Development Operational Excellence Django (Web Framework) Artificial Intelligence Business Transformation Order Management Systems Event-Driven Programming Self Service Technologies Transportation Management Electronic Data Interchange Customer Success Management Message-Oriented Middleware Warehouse Management Systems Enterprise Resource Planning React.js (Javascript Library) Python (Programming Language) Influencing Without Authority Continuous Improvement Process Customer Experience Improvement Troubleshooting (Problem Solving) Transaction Processing (Business) Amazon Elastic Kubernetes Service Product Software Implementation Method Integration Platform As A Service (IPaaS) +0 Google Business Intelligence Google IT Automation with Python ## Description Linux CI/CD DevOps Equities Debugging DevSecOps Operations Automation Kubernetes Prototyping Testability Market Data Claude Code Apache Kafka Microservices ANSYS Meshing Systems Design Responsible AI Version Control Test Automation Microsoft Azure Sprint Planning Ancient History Computer Science Safety Assurance Machine Learning Containerization Product Delivery Agile Methodology Docker (Software) Programming Tools Performance Tuning Software Solutions Systems Engineering Amazon Web Services Software Engineering Software Development Cloud-Native Computing Scaled Agile Framework Hybrid Cloud Computing Artificial Intelligence Agile Software Development C++ (Programming Language) Java (Programming Language) Git (Version Control System) Python (Programming Language) Troubleshooting (Problem Solving) Application Programming Interface (API) Salesforce Developer, Leidos is seeking a Senior AI Software Developer to join the Air Traffic Business Area within the Homeland Sector, supporting the development of the Leidos Common Baseline. Common Baseline is a mission-critical, future-ready automation solution built on a hybrid cloud data mesh architecture. As a member of a Scaled Agile software development organization, you will contribute to the technical execution of a program that integrates proven, globally deployed technologies with modern cloud-native and AI-enabled capabilities. You will work alongside cross-functional teams and technical leaders to deliver predictable outcomes in a highly regulated, safety-critical environment. In this position, you will design and implement software solutions independently while working closely with systems engineering, product delivery, and DevSecOps teams. The primary focus is on developing microservices-based applications within an Agile/SAFe environment. Experience with AI-enabled or data-driven systems is advantageous. This position supports government programs and requires the ability to obtain and maintain a favorable Public Trust investigation This position is currently listed as 100% remote. This role focuses on building and modernizing real-time, safety-critical systems using a combination of traditional systems engineering and AI-augmented software development practices. You'll work on software that directly supports national air traffic operations, applying AI tools to accelerate development, improve quality, and enhance system reliability. What You'll Do * Design, develop, and maintain microservices-based applications using modern software engineering best practices * Collaborate with product owners, architects, and engineers in an Agile/SAFe environment * Participate in sprint planning, daily standups, reviews, and retrospectives * Collaborate with systems engineering and program teams to translate requirements into working software solutions * Develop clean, maintainable, and testable code following CI/CD and DevSecOps practices * Contribute to system design discussions and technical decision-making * Integrate services with databases, messaging systems, and external APIs * Support troubleshooting, performance tuning, and continuous improvement * Work closely with QA, DevOps, and platform teams to ensure reliable delivery * Implement modern automated testing strategies, including unit, integration, contract, and end-to-end testing * Use AI-assisted development tools to accelerate coding, refactoring, debugging, and test creation, You'll work on systems where performance, precision, and reliability matter - every second. This is not experimental AI for prototypes. This is disciplined, responsible AI applied to mission-critical software that supports national infrastructure., Salesforce Admin Software Engineer Actalent Phoenix, AZ*Remote Auditing Avionics Visionary Leadership Innovation Peer Review Test Design Coordinating Unit Testing Embedded C++ Communication Telecommuting Test Engineering Embedded Software Operating Expense Defect Management Systems Integration System Requirements Integration Testing Software Engineering Artificial Intelligence Human Machine Interfaces Requirements Traceability Engineering Design Process Software Quality (SQA/SQC) Process Driven Development Software Development Life Cycle Troubleshooting (Problem Solving) DO-178B/C (Software Considerations in Airborne Systems and Equipment Certification) +0 Google IT Automation with Python Software Engineer TEKsystems Honolulu, HI*Remote Planning Coaching Operations Leadership Automation Mentorship Middleware Scalability Coordinating Unit Testing Test Planning .NET Framework Prioritization Systems Design Version Control Problem Solving Team Leadership Business Process Project Planning Computer Science Systems Analysis Business Planning Technical Support Resource Planning Project Management Business Valuation Technical Projects System Requirements Integration Testing Information Systems Software Development Job/Batch Scheduling Technical Leadership Business Requirements Information Technology Full Stack Development Artificial Intelligence Application Development Business Transformation Technical Subject Matter Applications Architecture Corporate Data Management SQL (Programming Language) Extract Transform Load (ETL) Business Continuity Planning Cloud Computing Architecture Object-Oriented Analysis And Design +0 Google Business Intelligence Google IT Automation with Python Salesforce Admin Login | JoinContact ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Got AI ideas but no money? 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