Solution Architect
Experience : 8+ Years
Responsibilities :
- Design end-to-end solution architecture aligned with business and technical requirements.
- Define application, integration, data, security, and infrastructure architecture for enterprise solutions.
- Collaborate with business stakeholders, product owners, architects, and development teams to translate business requirements into scalable technical solutions.
- Lead architecture discussions and provide technical direction throughout the project lifecycle.
- Define integration patterns, API strategies, and microservices architecture.
- Review and approve solution designs, technical specifications, and implementation approaches.
- Ensure solutions adhere to enterprise architecture standards, security policies, and best practices.
- Provide technical leadership to development teams during implementation and deployment.
- Identify technical risks, dependencies, and mitigation strategies.
- Drive performance optimization, scalability, availability, and disaster recovery planning.
- Support DevOps, CI/CD, cloud migration, and automation initiatives.
- Participate in architecture governance, design reviews, and technical decision-making.
Primary Skills :
- 8+ years of strong hands-on experience in Python development.
- Strong expertise in designing and developing enterprise-grade applications using modern architectural principles.
- Experience with Microservices Architecture, RESTful APIs, Event-Driven Architecture, and API Gateways.
- 3+ years of experience working with cloud platforms.
- 1+ years of hands-on experience with Google Cloud Platform (GCP).
- Hands-on experience with Docker and Kubernetes for containerization and orchestration.
- Solid understanding of CI/CD pipelines, DevOps practices, and Infrastructure as Code (IaC).
- Strong knowledge of relational and NoSQL databases.
- Experience with messaging technologies such as Apache Kafka, RabbitMQ, or Azure Service Bus.
- Strong understanding of application security, including OAuth 2.0, JWT, SAML, and enterprise integration patterns.
- Experience working in Agile/Scrum environments and following Agile delivery methodologies.
- Excellent stakeholder management, communication, collaboration, and presentation skills.
Secondary Skills (If Any):
- Experience with AI/ML platforms, Data Lake, Data Warehouse, or Analytics solutions.
- Experience with Azure Services, Databricks, Snowflake, Microsoft Fabric, or similar enterprise platforms.
- TOGAF, Azure Solutions Architect, AWS Solutions Architect, or equivalent certifications are preferred.
(ref:hirist.tech)