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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer TS/SCI Poly - **Company:** CareerCircle - **Location:** Hanover, MD, United States (Remote available) - **Experience:** Expert - **Salary:** $97,100.0 - $137,500.0 - **Contract:** Permanent contract - **Skills:** Testing (Software), Clean Code Principles, HTML, Java (Programming Language), JavaScript (Programming Language), XML Schema, Computer-Aided Design, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Apache Tomcat, Server Applications, Component-Based Software Engineering, Application Layers, Business Logic, Systems Engineering, Public-Key Cryptography, Acceptance Test-Driven Development, Confluence, JIRA, Automation of Tests, Unit Testing, Microsoft Azure, Bash Shell, Behavior-Driven Development, Oracle WebLogic Server, Bootstrap (Software), C Sharp (Programming Language), Unix, C++ (Programming Language), Cascading Style Sheets (CSS), Software as a Service, Cloud Computing, Cloud Engineering, CMake, Configuration Management, Code Generation, Software Quality, Code Review, Encodings, Signals Intelligence, Computer Programming, Continuous Integration, Custom Software, Data Security, Data Structures, Software Debugging, Software Design Patterns, Linux, DevOps, Programming Tools, Digital Signature, Eclipse (Software), Enterprise JavaBeans, Embedded C, Java Platform Enterprise Edition (J2EE), Fault Tolerance, Github, Groovy, Human-Computer Interaction, Systems Analysis, Integrated Development Environments, Java Persistence API, Java Servlet, Spring Framework, Java Transaction API, JSON, Java API for RESTful Web Services (JAX-RS), WildFly (JBoss AS), Junit, Python (Programming Language), Key Management, PostgreSQL, Apache Maven, Microsoft Visual Studio, MongoDB, NoSQL, Object-Oriented Software Development, OpenShift, Pair Programming, Scrum Methodology, Systems Development Life Cycle, Resource Description Framework (RDF), Mockito, Migration Manager, Requirements Management, Salesforce.Com, Scaled Agile Framework, Security Software, Selenium, Service-Oriented Architecture, Simple Object Access Protocol (SOAP), Software Engineering, Software Requirements Analysis, Software Systems, SPARQL, SQL Databases, Data Streaming, System Testing, Systems Integration, Strategies of Testing, TypeScript, Web Applications, Web Application Frameworks, Web Services, Web Services Description Language, Extensible Markup Language (XML), XQuery, Extensible Stylesheet Language Transformations (XSLT), YAML, Data Logging, Data Processing, Scripting, Google Cloud, Enterprise Software Applications, Computer Network Operations, Cloud Platform System, Test-Driven Development (TDD), DevOps Tools - Open-source, Marklogic, Spring-boot, Technical Debt, Infrastructure as Code (IaC), Backend, Git, Containerization, AI Platforms, AngularJS, Jax Ws, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Build Tools, Front End Software Development, Cloud Migration, Api Design, Terraform, Cucumber (Software), Code Restructuring, Software Version Control, Jasmine, Docker, Katalon Studio, Jenkins, Programming Languages - **Published:** July 11, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/md/hanover/e1167294-0ec4-484e-9c18-176a79a6417f ## About the Role DevOps Tooling Planning Debugging Terraform Pipelines Operations Automation TypeScript Resilience Kubernetes API Design Code Review Scalability Reliability Testability Operability Data Access Cloud DevOps Cloud Design Communication Observability Cloud Hosting Test Strategy Technical Debt Test Automation Microsoft Azure Data Structures Decision Making Code Generation Maintainability Data Processing Cloud Migration Customer Service Managed Services Computer Science Software Systems, * Very strong expertise in at least one primary programming language, such as: o Java, C#, Python, JavaScript/TypeScript, or equivalent * Demonstrated ability to design clean, maintainable, well tested codebases, including strong familiarity with automated testing (unit/integration) and ownership of component level test strategy for the systems they build and support. * Strong understanding of software engineering fundamentals, including: o Data structures and algorithms o API design and integration o Modular and layered architectures o Object-oriented, functional, and service-oriented design patterns o Performance and scalability considerations o Debugging, refactoring, code review, and technical debt reduction Application Breadth * Strong preference for backend and cloud-native development experience, with hands-on work across: o APIs, services, integrations, and data access layers o Cloud-hosted application components and distributed service patterns o Containerized application delivery and runtime considerations * Front-end experience is a plus, but this role is primarily focused on backend, API, service, and cloud-enabled application development with enough platform awareness to support migration and modernization work. DevOps & Delivery Practices * Strong experience with modern DevOps practices, including: o CI/CD pipelines o Infrastructure as Code (IaC), especially Terraform o Automated testing and deployment o Observability, logging, and monitoring * Practical experience supporting software delivery with tools and platforms such as Git, CI/CD platforms, containers, Kubernetes, and GKE. * Ability to work effectively with platform and infrastructure concerns, including deployment patterns, environment configuration, and operational support. * A mindset focused on operability, reliability, and automation, not just code delivery. GCP Migration & Cloud Platform Experience * Strong experience with Google Cloud Platform is preferred, including migrating, modernizing, building, deploying, and supporting applications in GCP environments. * Experience supporting cloud migration and modernization activities, including workload assessment, dependency analysis, application refactoring, environment configuration, data/service integration, and post-migration validation. o GCP services relevant to application hosting, integration, migration, runtime operations, and modernization o Networking, security, and identity concepts o Managed services across compute, storage, and supporting platform capabilities o Scalability, resilience, and supportability considerations o Migration patterns such as rehosting, replatforming, refactoring, containerization, and incremental modernization * Experience with AWS or Azure is a plus, but stronger depth in GCP is preferred for this engagement. AI Skills & Tool Usage * Demonstrated experience using AI assisted development tools to improve productivity, quality, and learning (e.g., code generation, refactoring, testing, documentation). * Basic familiarity with AI enabled application patterns, such as: o Integrating hosted AI services or APIs o Using AI for data processing, search, or automation use cases * Ability to evaluate AI tools pragmatically, understanding benefits, limitations, and responsible use within enterprise and client contexts. * Willingness to continuously upskill as AI tooling and platforms evolve Professional Expectations * Owns complex and/or ambiguous features end to end, drives technical decisions within scope, and mentors others through that ambiguity. * Communicates clearly with both technical and non technical stakeholders. * Comfortable working across multiple projects or domains as GE NA demand shifts. * Balances delivery speed with code quality, stability, and long term maintainability. * Contributes positively to team culture and knowledge sharing., * Typically 7+ years of professional software development experience (or equivalent demonstrated capability). * Bachelor's degree in Computer Science, Engineering, or related field preferred, or equivalent practical experience. * Relevant technical certifications (cloud, DevOps, etc.) are a plus but not required. ## Description Programming Tools Business Valuation Software Solutions Development Testing Amazon Web Services Dependency Analysis Application Hosting Software Engineering Software Development Business Intelligence Technology Strategies Cloud-Native Computing Full Stack Development Operational Excellence Technical Requirements Artificial Intelligence Application Development Business Transformation Software Design Patterns Cloud-Native Development C# (Programming Language) Containerized Application Software Quality (SQA/SQC) Java (Programming Language) Google Cloud Platform (GCP) Git (Version Control System) Infrastructure as Code (IaC) Python (Programming Language) Continuous Improvement Process Google Kubernetes Engine (GKE) Software Development Life Cycle Front End (Software Engineering) JavaScript (Programming Language) Object-Oriented Programming (OOP) Application Programming Interface (API), The Senior Software Developer is a hands-on technical contributor responsible for designing, building, modernizing, migrating, deploying, and maintaining high-quality software solutions across client and internal initiatives. This role balances strong software engineering fundamentals with practical Google Cloud Platform experience, including application modernization, cloud migration support, cloud-native delivery, and modern DevOps practices. Success requires depth in at least one primary programming language, strong application design and testing discipline, and the ability to deliver reliable applications and services that operate effectively in cloud environments. Senior Developers are expected to operate with a high degree of autonomy, contribute to architectural and technical decisions, mentor less-Senior engineers, and actively improve delivery, reliability, and operational excellence across teams. Top 3 Hiring Priorities * Strong software engineering fundamentals and depth in a primary language (e.g., Java, Python, C#, JavaScript/TypeScript), demonstrated through clean design, maintainable code, testability, API development, performance awareness, and sound technical trade-offs. * Practical GCP migration and modernization experience, including assessing existing applications, supporting migration planning, adapting workloads for Google Cloud, and helping teams move from legacy or on-premises environments to cloud-ready architectures. * Balanced delivery across application development and DevOps practices, including CI/CD, automated testing, Infrastructure as Code with Terraform, containers, Kubernetes/GKE, and operational practices that support reliable production software. Core Responsibilities * Design, implement, test, and maintain production-grade software systems aligned with business and technical requirements. * Build and enhance applications, APIs, services, integrations, and data access layers with attention to clean architecture, maintainability, security, performance, and cloud readiness. * Contribute across the full software development lifecycle, including analysis, design, estimation, development, testing, deployment, and support. * Support GCP migration and application modernization efforts by analyzing existing systems, identifying refactoring needs, adapting services for cloud deployment, and validating migrated workloads. * Collaborate with DevOps, platform, and cloud migration teams to improve CI/CD, deployment automation, infrastructure-enabled delivery, and repeatable migration patterns using tools such as Terraform, containers, and Kubernetes/GKE. * Actively participate in code reviews, architecture discussions, and technical decision-making, providing clear rationale and trade-off analysis. * Mentor junior and mid-level developers through code reviews, pairing, and technical guidance. * Contribute to continuous improvement of engineering practices, including automation, cloud readiness, operational maturity, and supportability., Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools. 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