Junior Solution Architect (Microsoft Azure)

Location: Remote roles available in Brazil, Colombia, Mexico, Uruguay, and LATAM.

Company

hirify.global delivers software engineering and technology solutions.

What you will do

• Define and communicate target architectures aligned with business objectives for a modern travel platform.
• Design scalable and secure cloud-native applications, APIs, data platforms, integrations, and distributed systems.
• Guide the adoption of Azure services, containerized workloads, event-driven architecture, Snowflake, Datadog, and reusable engineering patterns.
• Translate business needs into testable technical requirements, acceptance criteria, API contracts, data requirements, system boundaries, and testing strategies.
• Lead architecture reviews, technical design workshops, architecture decisions, dependency management, and cross-team technical collaboration.
• Improve CI/CD, automated testing, deployment strategies, infrastructure as code, observability, data governance, security, and delivery reliability; guide responsible AI adoption across the software development lifecycle.

Requirements

• Experience in software engineering and solution architecture, including designing and delivering production systems.
• Understanding of distributed systems, cloud-native architecture, microservices, modular monoliths, API design, system integration, and pragmatic incremental modernization.
• Ability to translate business requirements into technical designs and implementation plans, balance strategic architecture with delivery constraints, and influence technical decisions across teams.
• Experience leading architecture reviews, establishing engineering standards, and communicating with technical and non-technical stakeholders.
• Hands-on experience with Microsoft Azure and cloud-native services, Docker, containerized application deployment, Kubernetes or Azure Kubernetes Service, and Snowflake.
• Familiarity with infrastructure as code, CI/CD, automated deployment, environment management, and cloud cost optimization.
• Understanding of application security, secrets management, resilience, disaster recovery, least-privilege access, sensitive data controls, compliance, and privacy.
• Experience designing APIs and integrations across distributed systems; understanding of event-driven architecture, messaging, asynchronous processing, eventual consistency, retries, idempotency, and dead-letter handling.
• Experience with data pipelines, data modeling, analytical platforms, and data governance; familiarity with Azure Event Hubs, Service Bus, Kafka, or equivalent messaging platforms.
• Practical experience adopting AI-assisted development tools and integrating AI into requirements, design, coding, testing, review, deployment, and operations.

Nice to have

• Familiarity with Datadog and observability practices including metrics, logs, distributed tracing, dashboards, and alerts.
• Understanding of retrieval-augmented generation patterns, model APIs, and prompt engineering.
• Experience contributing to architecture reviews and technical design workshops.
• Experience supporting automated unit, integration, contract, end-to-end, performance, and security testing.

Culture & Benefits

• Work in a medium-sized team of 10–20 people.
• Collaborate cross-functionally with Product, Engineering, Data, and Technology leadership, as well as product managers, business analysts, engineering leads, developers, QA engineers, and data engineers.
• Participate in regular architecture reviews, technical design workshops, and knowledge-sharing sessions.