{"id":3453463,"url":"https://alion.io/job/dataart-junior-solution-architect-with-microsoft-azure-travel-platform","title":"Solution Architect with Microsoft Azure, Travel Platform","company":{"id":46984,"name":"DataArt","domain":"dataart.com","url":"https://alion.io/company/dataart-com","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":75,"open_postings":18,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Montevideo, Uruguay"],"countries":["UY"],"hiring_countries":["BR","CO","UY"],"hiring_countries_total":3,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":70000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":587},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"CI/CD","optional":false},{"name":"Clean Architecture","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-10-23T00:00:00Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-01T17:32:09Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"We are looking for a Solution Architect to help translate business goals into scalable, secure, and maintainable technical solutions. You will work across product discussions, architecture design, technical reviews, and cross team collaboration to support clear requirements and consistent engineering practices.\nThis project is centered on a modern travel focused platform with cloud native services, distributed systems, data integrations, and observability. It aims to improve productivity, quality, security, reliability, and time to market through consistent architecture principles and implementation ready technical solutions.\nDefine and communicate target architecture aligned with business objectives and product strategy\nDesign scalable and secure solutions across cloud native applications APIs data platforms integrations and distributed systems\nGuide the adoption of Azure services containerized workloads event driven architecture Snowflake and Datadog\nEvaluate architectural alternatives and document trade offs risks dependencies and recommendations\nIdentify opportunities to simplify systems reduce technical debt and improve platform reusability\nPartner with stakeholders to write review validate and improve product and technical requirements\nTranslate business needs into clear testable and technically feasible requirements\nIdentify gaps assumptions dependencies integration constraints and architectural risks before development starts\nHelp teams define acceptance criteria API contracts data requirements system boundaries and testing strategies\nGuide engineering teams in adopting architectural directions standards reusable patterns and decision records\nReview proposed designs and significant technical changes and provide timely feedback\nHelp identify and manage architectural dependencies across teams products platforms and shared services\nDrive responsible adoption of AI capabilities across the software development lifecycle\nEvaluate AI enabled tools frameworks and platforms based on value security reliability maintainability and cost\nDefine architectural patterns for integrating AI services into applications\nEstablish guidelines for AI generated code content validation data protection and secure AI tool usage\nPromote AI assisted testing including test generation regression coverage API validation and failure analysis\nMeasure engineering and delivery outcomes using relevant performance and quality indicators\nLead by example with clean architecture secure coding effective testing and maintainable implementation practices\nHelp teams improve CI/CD pipelines automated testing deployment strategies infrastructure as code and delivery reliability\nPromote domain driven design modularity API first design asynchronous communication and event driven integration\nCollaborate with engineering managers technical leads developers QA engineers data engineers and product teams to resolve technical challenges\nMentor technical leaders and engineers in architecture skills decision making and engineering ownership\nFacilitate architecture reviews technical design workshops knowledge sharing sessions and cross team discussions\nPresent architecture changes engineering practices frameworks and technology investments to technical and non technical stakeholders\nGuide the design of reliable integrations across internal systems third party providers booking platforms and external services\nEstablish patterns for event driven communication API integration messaging data consistency retries idempotency and failure recovery\nCollaborate with data teams on Snowflake architecture data ingestion transformation governance quality and analytical access patterns\nPromote observability through metrics logs distributed tracing dashboards and alerts using Datadog\nApply controls for sensitive data access management secrets compliance and secure information handling\nExperience in software engineering and solution architecture designing and delivering production systems\nUnderstanding of distributed systems cloud native architecture microservices modular monoliths API design and system integration\nAbility to translate business requirements into technical designs and implementation plans\nExperience leading architecture reviews establishing engineering standards and influencing technical decisions across teams\nAbility to balance strategic architecture with delivery constraints incremental modernization and pragmatic trade offs\nStrong written and verbal communication skills for technical and non technical stakeholders\nHands on experience with Microsoft Azure and cloud native services\nExperience with Docker and containerized application deployment\nExperience with Kubernetes or Azure Kubernetes Service\nFamiliarity with infrastructure as code CI/CD automated deployment environment management and cloud cost optimization\nUnderstanding of application security secrets management resilience disaster recovery and least privilege access\nExperience designing APIs and integrations across distributed systems\nUnderstanding of event driven architecture messaging asynchronous processing eventual consistency retries idempotency and dead letter handling\nExperience with data pipelines data modeling and analytical platforms\nHands on experience with Snowflake\nFamiliarity with Azure Event Hubs Service Bus Kafka or equivalent messaging platforms\nUnderstanding of data governance data quality access controls and privacy considerations\nPractical experience adopting AI assisted development tools and integrating AI into software engineering workflows\nUnderstanding of the software development lifecycle and AI support across requirements design coding testing review deployment and operations\nFamiliarity with Datadog\nExperience with observability practices including metrics logs distributed tracing dashboards and alerts\nUnderstanding of retrieval augmented generation patterns\nFamiliarity with model APIs and prompt engineering\nExperience contributing to architecture reviews and technical design workshops\nExperience supporting automated testing across unit integration contract end to end performance and security 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