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

Skills Required

Terraform, Azure Cloud Services, Kubernetes, Github, Ansible, Api Development, MLops