The company is seeking an experienced Software Developer Architect to lead the design, development, and implementation of scalable cloud applications and services, providing technical direction and mentoring to engineering teams. This role aims to build AI solutions to improve DevOps productivity and cloud service efficiency, and optimize system performance, reliability, and scalability.
Requirements
- Proven expertise in one or more programming languages (e.g., Java, Python, Go, C-Sharp, or Node.js).
- Strong understanding of cloud computing concepts , IaaS/PaaS/SaaS , and container orchestration (Kubernetes, Docker).
- Hands-on experience with OCI, AWS , Azure , or Google Cloud Platform services (compute, networking, storage, and security).
- Familiarity with CI/CD pipelines , infrastructure as code (Terraform), and DevOps practices.
- Strong understanding of API design , microservices , event-driven architectures , and data streaming .
- Solid foundation in software design patterns, distributed systems, and RESTful or GraphQL architectures.
- Experience with serverless frameworks (AWS Lambda, Azure Functions).
Responsibilities
- Architect, design, and implement large-scale, high-performance software systems on cloud platforms (OCI and other CSPs).
- Define and enforce architectural standards, design patterns, and best practices across engineering teams.
- Lead design reviews, proof-of-concept development, and technology evaluations for new projects.
- Collaborate closely with product management, product development, DevOps, and security teams to deliver reliable, secure, and cost-effective cloud solutions.
- Provide technical mentorship to developers and ensure high-quality code delivery.
- Build AI soultions to improve Devops productivity and cloud service efficiency
- Optimize system performance, reliability, and scalability through proactive design and continuous improvement.
Other
- 12+ years of professional software development experience.
- 3+ years in an architect or technical lead role.
- Cloud Architect certification (e.g., AWS Certified Solutions Architect, Azure Architect Expert, or GCP Professional Cloud Architect).
- Familiarity with data engineering , AI/ML pipelines , or observability tools (Prometheus, Grafana, Datadog).
- Strong background in security best practices and compliance frameworks (SOC2, ISO 27001, etc.).
