Solution Architect
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Job description
We are looking for an experienced Solution Architect to design and deliver scalable, secure, and high-performing enterprise applications. The ideal candidate will have extensive experience in distributed systems, microservices, cloud platforms, and modern full-stack technologies. You will work closely with business stakeholders, engineering teams, and leadership to define technical strategies, lead solution design, and mentor development teams., * Design end-to-end technical solutions aligned with business requirements.
- Define application architecture, technology stack, integration patterns, and deployment strategies.
- Create High-Level Design (HLD) and Low-Level Design (LLD) documents.
- Ensure scalability, security, reliability, maintainability, and performance of applications.
- Lead technical discussions, Proof of Concepts (PoCs), and architecture reviews.
- Collaborate with cross-functional teams to drive successful project delivery.
- Review code quality and provide technical guidance to development teams.
- Mentor developers and technical leads on architecture best practices.
- Evaluate architectural trade-offs and recommend optimal solutions.
- Support performance tuning, system optimization, and troubleshooting.
- Experience with EDI and enterprise integrations is a plus.
Requirements
- Strong experience in designing distributed systems and microservices architecture.
- Hands-on expertise with AWS, Azure, or Google Cloud Platform (Google Cloud Platform).
- Strong programming experience in Java, Python, Node.js, Go, or similar technologies.
- Experience with Docker, Kubernetes, CI/CD pipelines, and DevOps practices.
- Strong knowledge of REST APIs, API security, and integration patterns.
- Experience with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, Redis, or Cassandra.
- Hands-on experience with event-driven architecture using Kafka or RabbitMQ.
- Strong understanding of OWASP, IAM, authentication, and security best practices.
- Experience with observability and monitoring tools like Prometheus, Grafana, ELK Stack, or Datadog.
- Strong knowledge of performance optimization, caching, and scalability strategies.
- Experience designing and scaling multi-tenant SaaS platforms is highly preferred.
Preferred Qualifications
- Bachelor’’s or Master’’s degree in Computer Science, Engineering, or a related field.
- AWS Solutions Architect, Azure Architect, or Google Cloud Platform certifications are a plus.
- Excellent problem-solving, communication, and leadership skills.
Nice to Have
- EDI Integration experience.
- Enterprise application integration.
- SaaS platform architecture.
- Technical leadership and mentoring experience.
If you’‘re passionate about designing scalable cloud-native solutions and leading engineering teams, we’‘d love to hear from you.
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