Solution Architect
2 weeks ago
We are seeking a Solution Architect to design and implement scalable, high-performance technology solutions that align with business needs and enterprise architecture standards. The ideal candidate has deep expertise in full-stack development, AI/ML solutions, cloud computing, microservices, and DevOps practices. This role requires strong technical leadership, hands-on architecture design, and collaboration with cross-functional teams to drive digital transformation initiatives.
Responsibilities
1. Solution Architecture & Design
- Design and implement end-to-end enterprise solutions across multiple domains, ensuring scalability, performance, and security.
- Develop microservices-based architectures, API gateways, and cloud-native applications using Java, Spring Boot, RESTful APIs, and Python.
- Define architecture roadmaps, best practices, and technology standards aligned with business objectives.
- Implement AI/ML-driven automation and predictive analytics solutions using TensorFlow, PyTorch, Pandas, and NLP frameworks.
2. Technology Leadership & Strategy
- Evaluate emerging technologies and recommend scalable, innovative solutions to enhance business capabilities.
- Collaborate with engineering, DevOps, and data science teams to ensure seamless integration of AI/ML, cloud, and security.
- Define best practices for cloud computing (AWS, Azure, GCP), containerization (Docker, Kubernetes), and CI/CD pipelines.
3. DevOps & Cloud Architecture
- Architect secure, cloud-native solutions using AWS, Azure, or GCP with a focus on serverless computing and infrastructure automation.
- Implement CI/CD pipelines, DevOps automation, and infrastructure as code (IaC) solutions using Jenkins, GitHub Actions, Terraform.
- Ensure compliance with enterprise security standards, including ADFS (SSO), OAuth, and API security best practices.
4. Stakeholder Engagement & Leadership
- Partner with business leaders, product managers, and development teams to translate business needs into technical solutions.
- Provide technical mentorship to engineering teams and guide them in adopting best practices for software development and AI-driven automation.
- Conduct technology assessments, proof-of-concepts (PoCs), and architectural reviews to validate solutions.
Required Qualifications & Skills
- 15+ years of experience in software development, solution architecture, and enterprise technology strategy.
- Expertise in Java, Python, Spring Boot, RESTful APIs, Kafka, and messaging frameworks.
- Strong experience in AI/ML, Deep Learning, NLP, and Data Science (TensorFlow, Keras, PyTorch, MLFlow, Pandas, PySpark).
- Proven experience with cloud computing (AWS, Azure, GCP), Kubernetes, Docker, and CI/CD pipelines.
- Hands-on experience in DevOps automation, enterprise security (SSO, SSL, OAuth), and API architecture.
- Strong understanding of Agile methodologies, Scrum framework, and development best practices.
- Certifications in Cloud (AWS/Azure/GCP), AI/ML, or Solution Architecture are a plus.
- Postgraduate degree in Artificial Intelligence, Machine Learning, or Computer Science.
- Experience in Fintech, Government agencies, or large-scale enterprise projects.
- Exposure to blockchain technologies and digital transformation initiatives.
Scalability
Kubernetes
Azure
Cloud Computing
Architect
Scrum
Architectural
Technology Solutions
Solution Architecture
Enterprise Architecture
Architecture Design
Docker
Java
Technical Leadership
API
Software Development
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