Backend Platform Architect

Overview

Leading the design, development, and optimization of scalable, high-performance AI / ML platforms, integrating cutting-edge cloud services, and ensuring seamless interaction with front-end applications

Responsibilities

• Spearhead the development and implementation strategy for backend APIs, focusing on creating scalable, reliable, and high-performance solutions that align with business goals.
• Oversee the management of Azure Kubernetes Service (AKS) (and similar capability for AWS – EKS) deployments, optimizing container orchestration to ensure seamless application scaling and performance.
• Oversee management and automation of pipelines related to data storage, data movement and data retrieval for various forms of data (real-time, audit, fast moving messages) as well as formats (structured – SQL storage, unstructured – BLOB storage and Semi-structured – JSON and related format in no-SQL DB) – between edge and cloud and between cloud applications mediated by File, Service / API, Message Bus and bulk-movement options.
• Direct cloud operations to achieve optimal system performance, security, and cost-efficiency, leveraging Azure cloud services and infrastructure.
• Champion DevOps practices across the team, promoting automation, continuous integration (CI), and continuous deployment (CD) to enhance operational efficiency.
• The CI / CD automation should also include deployment strategies and automation for ML components (e.g., MLOps related pipeline building and automation).
• Desirable to have skills with Github, Ansible, ADO, Terraform and ability to integrate QA tools such as Sonar Cube, Synk etc.
• Contribute to a robust release management strategy and ensure that the CI / CD pipeline incorporates and aligns with complex, global and local release management strategy.
• Ensure that test automation, deployment automation (including edge deployments) and observability are integral part of release management and CI / CD pipelines.
• Facilitate collaboration among cross-functional teams, ensuring the seamless integration of backend services with frontend platforms and other system components.
• Establish and rigorously monitor service-level objectives (SLOs) and key performance indicators (KPIs) to maintain and improve backend system and cloud infrastructure performance.
• Lead incident response initiatives and conduct thorough post-incident analyses to identify root causes and implement preventive strategies, ensuring system integrity.
• Drive continuous improvement efforts, focusing on system efficiency, downtime reduction, and resource optimization.
• Maintain up-to-date knowledge of the latest backend technologies, Azure services, and DevOps tools, integrating innovative practices into our operations.
• Cultivate a team culture that values innovation, excellence, and continuous learning, encouraging team development and the adoption of best practices.

Qualifications