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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