Software Solutions Architect
Há 7 dias
We are seeking a skilled and passionate Senior Software Engineer who is proficient in Microsoft's ecosystem to lead our cloud solutions.
About the JobThe ideal candidate will have experience with designing, developing, and maintaining scalable cloud-native applications on the Microsoft Azure platform. Additionally, they will be responsible for architecting and implementing microservices using Azure services such as App Service, Functions, Container Instances, and AKS.
Key Responsibilities- Design and develop robust APIs and integrate with various Azure services and third-party systems.
- Implement data solutions with Azure SQL Database, Cosmos DB, and storage services.
- Write clean, maintainable, and well-tested code following software engineering best practices.
- Optimize application performance, scalability, and reliability in cloud environments.
- 5+ years of software development experience, with 3+ years specifically in Azure cloud development.
- Proficiency in programming languages like C#/.NET, Python, Java, or other relevant languages.
- Strong experience with Azure services (App Service, Functions, Logic Apps, Service Bus, Event Grid).
- Knowledge of containerization technologies (Docker) and Azure container services.
- Experience with RESTful API design and development.
- Understanding of cloud architecture patterns and distributed systems.
- Familiarity with Azure monitoring tools like Application Insights and Log Analytics.
- Willingness to learn and adapt to other cloud platforms such as AWS.
- Mentor junior developers and conduct code reviews.
- Collaborate with cross-functional teams including product management, QA, and business stakeholders.
- Participate in technical architecture decisions and solution design.
- Lead feature development initiatives and technical problem-solving.
- Azure certifications (Azure Developer Associate, Solutions Architect Expert).
- Experience with agile development methodologies.
- Knowledge of security frameworks and compliance requirements.
- Background in database design and performance optimization.
- Exposure to CI/CD pipeline creation and automation tools.
- Experience with Azure AI Foundry and AI/ML integration.
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