Cloud Solution Architect
Upskills is seeking a highly‑skilled Solution Architect to lead the infrastructure and cloud architecture of our AI‑driven platform, particularly in the financial and banking sectors.
Responsibilities
- Design, implement, and manage scalable cloud infrastructure (AWS, Azure, or GCP) tailored for AI/ML workloads.
- Lead software deployment packages at customer sites, ensuring robust instrumentation and scalable performance.
- Design, develop, and execute load and scalability tests to validate system reliability under various conditions.
- Implement and maintain monitoring and alerting systems for development, staging, and production environments.
- Participate in incident response, root cause analysis, and continuous improvement of system reliability.
- Develop and maintain automation scripts and tools to streamline deployment, infrastructure provisioning, and routine operational tasks.
- Collaborate with internal development teams, business analysts, and customers to align technical solutions with business requirements.
- Troubleshoot and resolve deployment and integration issues, occasionally contributing fixes in TypeScript or Rust.
- Ensure compliance with security and regulatory requirements, particularly in banking environments.
- Manage and optimize CI/CD pipelines and deployment automation using Jenkins and Atlassian tools.
- Support and manage infrastructure components using Linux, Docker, and Kubernetes.
- Integrate and manage application components such as Kong, OpenTelemetry, Kafka, RabbitMQ, and MySQL.
- Utilize Infrastructure as Code tools such as Terraform, Ansible, or Helm to provision and manage infrastructure effectively.
Qualifications
- Ph.D. or Master’s degree in Information Technology, Computer Science, Engineering, or related field.
- Minimum of 10 years of experience in Cloud Operations, Infrastructure Engineering, and Automation, with at least 5 years in AWS or similar Cloud operations within Banking or Financial Services industry.
- Proven experience with CI/CD tools such as Jenkins and the Atlassian suite (Bitbucket, Jira, Confluence).
- Solid understanding of mainstream cloud products and services including AWS, Azure, GCP, and OpenShift.
- Hands‑on experience with Linux, Docker, Kubernetes, and cloud‑native deployment practices.
- Experience with monitoring and observability tools, especially OpenTelemetry, and managing alerts and incident response processes.
- Proficiency in automation and scripting (e.g., Bash, Python, or similar) for deployment and infrastructure tasks.
- Experience building and implementing Infrastructure as Code tools such as Terraform or OpenTofu.
- Experience with API and microservices based architecture patterns for deploying ML models on cloud.
- Familiarity with API gateways (e.g., Kong), message brokers (Kafka, RabbitMQ), and databases (MySQL, PostgreSQL).
- Basic proficiency in TypeScript and/or Rust, sufficient for reading code and implementing minor fixes.
- Strong understanding of security, compliance, and risk management practices in financial services or banking.
- Excellent communication and collaboration skills; able to interact with technical and non‑technical stakeholders.
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