{"schemaVersion":"jobsearcher.job.v1","id":"aa22e9c80a7fab87ab2bb8cf","url":"https://jobsearcher.com/jobs/aa22e9c80a7fab87ab2bb8cf","canonicalUrl":"https://jobsearcher.com/jobs/aa22e9c80a7fab87ab2bb8cf","title":"Senior Application Modernization Engineer","description":"About Us:\n\nAt Liatrio, we enable real transformation. We help industry-leading enterprises break free from legacy systems and adopt AI that reshapes how teams build, deliver, and thrive at scale.\n\nWe partner directly with enterprise teams to embed AI-native practices into delivery by accelerating modernization, reducing risk, and shipping production-grade AI systems that set the standard for the industry.\n\nOur people embed directly inside client organizations, leading hands-on AI enablement and transformations that reshape how entire enterprises build and operate at scale.\n\nIf you’re ready to lead real AI transformation, this is where you belong.\n\nAbout the Role:\nWe're looking for AI-enabled Application Modernization Engineers passionate about modernizing legacy software, building cloud-native and AI-augmented systems, and helping both client teams and our own engineers improve quality and speed of delivery.\nYou will act as both a builder and an enabler — writing production-grade code and uplifting the engineers around you on modern AI-augmented ways of working.\nWhat You'll Do:\nYou'll be embedded with enterprise clients building real software — modernizing systems that have been running the business for years and building new ones that need to run it for years to come. Day to day that looks like:\nBreaking down monolithic legacy applications and rebuilding them as cloud-native services — designing APIs, decomposing tightly coupled systems, and migrating data without taking the business offline\nBuilding full-stack, production-grade applications — frontend interfaces, backend services, REST and GraphQL APIs, and the integrations that tie them together in complex enterprise environments\nWriting clean, testable, well-structured code across multiple languages and paradigms — and reviewing others' code with the same standard\nDesigning and implementing event-driven and microservices architectures that can scale, evolve, and be maintained by teams who didn't build them\nIntegrating AI and LLM capabilities directly into client applications — building agentic workflows, RAG pipelines, AI-augmented developer tooling, and intelligent automation that actually works in production\nSetting up and improving CI/CD pipelines, test automation, and delivery infrastructure so teams can ship with confidence\nWorking alongside Operations teams to make sure what gets built can actually be run — containerized, observable, and operable in cloud environments\nMentoring and uplifting the engineers around you — pairing, code review, and real-time feedback that makes the whole team better\nKeeping account leaders and architects informed of technical risk, blockers, and changes that affect the engagement\nExperience and Skills:\nEngineering:\nYou've built production applications from scratch and modernized legacy systems — comfortable with both greenfield and brownfield, and know when approaches like strangler fig or lift-and-refactor are appropriate\nYou're fluent in multiple programming languages and paradigms — clean, testable code in both functional and object-oriented styles, knowing how to pick the right tool for the job\nYou've delivered full-stack solutions — frontend web apps, backend APIs, cloud-hosted services, and standalone applications — and understand how those pieces fit together end-to-end in complex enterprise environments\nYou've worked inside large enterprise environments with distributed systems and multi-cloud setups — you know how to navigate organizational complexity and deliver in spite of it\nYou're comfortable owning your part of the SDLC end-to-end — writing code, reviewing PRs, writing tests, and empathizing with developers on either side of you\nYou understand cloud-native architecture — containerization, microservices, event-driven patterns — and are comfortable with source control branching strategies and CI/CD automation\nYou've either built or been closely embedded with Operations teams — you understand cloud-native platform adoption, whether that's Kubernetes, managed container services, or other orchestration platforms depending on client environment, infrastructure as code, observability, and what it means to build software that can actually be run in production\nAI and Intelligent Systems:\nYou've built or integrated AI capabilities into real applications — you know what it takes to get an LLM-powered feature into production and keep it working\nYou use AI coding tools like Claude, Cursor, or Windsurf as a natural part of how you work — as a way to move faster and produce higher quality output every day\nYou have familiarity with retrieval-augmented generation, vector databases, or semantic search — either from building it or working alongside someone who has\n\nRequirements:\n5+ years of hands-on software engineering experience\nMust be authorized to work in the United States or Canada without sponsorship\nTravel availability: 25-50% depending on client needs\n\nSpecifics\nFull benefits including unlimited PTO, funded HSA option, 401k match, monthly LiveWell stipend, and quarterly company bonus\nAnnual base salary: $120,000-170,000 depending on experience\nLiatrio is an equal opportunity employer. We value diversity at our company and strive to create a culture of inclusion. We do not discriminate, nor do we tolerate harassment, on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status or disability status.\n\nWe want our process to be accessible for everyone. If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at our company, please contact hello@liatrio.com.\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.","company":"Liatrio","rawCompany":"liatrio","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-06T12:36:01.465Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Application Modernization Engineer","description":"About Us:\n\nAt Liatrio, we enable real transformation. We help industry-leading enterprises break free from legacy systems and adopt AI that reshapes how teams build, deliver, and thrive at scale.\n\nWe partner directly with enterprise teams to embed AI-native practices into delivery by accelerating modernization, reducing risk, and shipping production-grade AI systems that set the standard for the industry.\n\nOur people embed directly inside client organizations, leading hands-on AI enablement and transformations that reshape how entire enterprises build and operate at scale.\n\nIf you’re ready to lead real AI transformation, this is where you belong.\n\nAbout the Role:\nWe're looking for AI-enabled Application Modernization Engineers passionate about modernizing legacy software, building cloud-native and AI-augmented systems, and helping both client teams and our own engineers improve quality and speed of delivery.\nYou will act as both a builder and an enabler — writing production-grade code and uplifting the engineers around you on modern AI-augmented ways of working.\nWhat You'll Do:\nYou'll be embedded with enterprise clients building real software — modernizing systems that have been running the business for years and building new ones that need to run it for years to come. Day to day that looks like:\nBreaking down monolithic legacy applications and rebuilding them as cloud-native services — designing APIs, decomposing tightly coupled systems, and migrating data without taking the business offline\nBuilding full-stack, production-grade applications — frontend interfaces, backend services, REST and GraphQL APIs, and the integrations that tie them together in complex enterprise environments\nWriting clean, testable, well-structured code across multiple languages and paradigms — and reviewing others' code with the same standard\nDesigning and implementing event-driven and microservices architectures that can scale, evolve, and be maintained by teams who didn't build them\nIntegrating AI and LLM capabilities directly into client applications — building agentic workflows, RAG pipelines, AI-augmented developer tooling, and intelligent automation that actually works in production\nSetting up and improving CI/CD pipelines, test automation, and delivery infrastructure so teams can ship with confidence\nWorking alongside Operations teams to make sure what gets built can actually be run — containerized, observable, and operable in cloud environments\nMentoring and uplifting the engineers around you — pairing, code review, and real-time feedback that makes the whole team better\nKeeping account leaders and architects informed of technical risk, blockers, and changes that affect the engagement\nExperience and Skills:\nEngineering:\nYou've built production applications from scratch and modernized legacy systems — comfortable with both greenfield and brownfield, and know when approaches like strangler fig or lift-and-refactor are appropriate\nYou're fluent in multiple programming languages and paradigms — clean, testable code in both functional and object-oriented styles, knowing how to pick the right tool for the job\nYou've delivered full-stack solutions — frontend web apps, backend APIs, cloud-hosted services, and standalone applications — and understand how those pieces fit together end-to-end in complex enterprise environments\nYou've worked inside large enterprise environments with distributed systems and multi-cloud setups — you know how to navigate organizational complexity and deliver in spite of it\nYou're comfortable owning your part of the SDLC end-to-end — writing code, reviewing PRs, writing tests, and empathizing with developers on either side of you\nYou understand cloud-native architecture — containerization, microservices, event-driven patterns — and are comfortable with source control branching strategies and CI/CD automation\nYou've either built or been closely embedded with Operations teams — you understand cloud-native platform adoption, whether that's Kubernetes, managed container services, or other orchestration platforms depending on client environment, infrastructure as code, observability, and what it means to build software that can actually be run in production\nAI and Intelligent Systems:\nYou've built or integrated AI capabilities into real applications — you know what it takes to get an LLM-powered feature into production and keep it working\nYou use AI coding tools like Claude, Cursor, or Windsurf as a natural part of how you work — as a way to move faster and produce higher quality output every day\nYou have familiarity with retrieval-augmented generation, vector databases, or semantic search — either from building it or working alongside someone who has\n\nRequirements:\n5+ years of hands-on software engineering experience\nMust be authorized to work in the United States or Canada without sponsorship\nTravel availability: 25-50% depending on client needs\n\nSpecifics\nFull benefits including unlimited PTO, funded HSA option, 401k match, monthly LiveWell stipend, and quarterly company bonus\nAnnual base salary: $120,000-170,000 depending on experience\nLiatrio is an equal opportunity employer. We value diversity at our company and strive to create a culture of inclusion. We do not discriminate, nor do we tolerate harassment, on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status or disability status.\n\nWe want our process to be accessible for everyone. If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at our company, please contact hello@liatrio.com.\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.","datePosted":"2026-08-06T12:36:01.465Z","dateModified":"2026-08-06T12:36:01.465Z","hiringOrganization":{"@type":"Organization","name":"Liatrio","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"aa22e9c80a7fab87ab2bb8cf"},"url":"https://jobsearcher.com/jobs/aa22e9c80a7fab87ab2bb8cf"}}