{"id":3842542,"url":"https://alion.io/job/geowealth-fullstack-software-engineer","title":"Fullstack Software Engineer","company":{"id":676248,"name":"GeoWealth","domain":"geowealth.com","url":"https://alion.io/company/geowealth","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":null},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sofia, Bulgaria"],"countries":["BG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Java","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Copilot","optional":true},{"name":"GitHub","optional":true},{"name":"GitHub Actions","optional":true},{"name":"PowerShell","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-11-05T20:55:04Z","employer_posted_date":null,"last_verified_at":"2026-11-05T20:55:04Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"We are looking for a Full stack Engineer to improve engineering productivity through automation, reusable development capabilities, AI-assisted engineering practices, and rapid experimentation with new technologies.\n\nIn this role, you will design and build internal engineering tools, reusable CI/CD templates, reference implementations, and proofs of concept. You will also help evaluate and scale AI-based development tools and establish practical, secure, and effective ways for engineering teams to use them.\n\nYou will work closely with Engineering, Product, QA, DevOps, Security, and other stakeholders to deliver scalable, maintainable, and production-ready solutions that improve how software is developed, tested, deployed, and operated.\n\nKey Responsibilities \n\nDesign, build, and maintain reusable CI/CD templates, pipelines, and automation capabilities that can be adopted across engineering teams.\n\nIdentify manual or inefficient engineering processes and implement automation that improves development speed, consistency, quality, and reliability.\n\nEvaluate, implement, and scale AI-assisted engineering tools and practices across the software development lifecycle.\n\nDefine practical best practices and guidelines for the secure and effective use of AI tools in coding, testing, documentation, code review, and engineering workflows.\n\nBuild internal tools, reference applications, and integrations that improve developer productivity and the overall developer experience.\n\nResearch emerging technologies, engineering patterns, and development tools, and create proofs of concept to assess their technical and business value.\n\nTranslate successful proofs of concept into maintainable, production-ready solutions where appropriate.\n\nBuild and deploy applications and services in modern cloud-based and containerised environments.\n\nContribute to architectural and technical decisions related to developer tooling, automation, CI/CD, cloud platforms, AI enablement, observability, and software delivery.\n\nEstablish appropriate monitoring, testing, documentation, and operational practices for the solutions you build.\n\nShare knowledge through documentation, demonstrations, workshops, and collaboration with engineering teams.\n\nWork closely with Engineering, Product, QA, DevOps, Security, and governance stakeholders to ensure that solutions meet technical, business, security, and compliance requirements.\n\nMust-Have Qualifications \n\nExtensive engineering experience.\n\nHands-on experience building and maintaining production-grade software applications.\n\nExperience building backend services and APIs using Java.\n\nExperience with containerised development and deployment using Docker or equivalent technologies.\n\nStrong understanding of software engineering practices, including clean code, design patterns, automated testing, maintainability, monitoring, and observability.\n\nExperience working with relational databases.\n\nExperience integrating applications or services with internal and external systems.\n\nStrong analytical, problem-solving, collaboration, and communication skills.\n\nProfessional fluency in English.\n\nBachelor’s degree in computer science, Software Engineering, or a related field, or equivalent practical experience.\n\nNice-to-Have Qualifications\n\nExperience with GitHub, GitHub Actions, GitHub Copilot, or similar platforms and tools.\n\nExperience developing reusable CI/CD templates or shared engineering workflows used across multiple teams.\n\nScripting experience using Python, Bash, PowerShell, or similar languages.\n\nExperience with one or more major cloud platforms, such as AWS, Microsoft Azure, or Oracle Cloud Infrastructure.\n\nExperience evaluating new technologies and turning proofs of concept into production-ready solutions.\n\nKnowledge of AI governance, secure AI usage, data protection, or intellectual-property considerations related to AI-assisted software development.\n\nExperience defining or measuring developer productivity, platform adoption, or engineering effectiveness.\n\nBackground in financial services or another regulated 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