Job description

Summary At CoStrategix, we work with clients who are reimagining their business models to meet the demands of a digital, data-centric world. The Cloud Solutions Architect plays a pivotal role in designing and delivering scalable, secure, and high-performing cloud architectures that serve as the technical backbone of digital transformation. This role is highly technical, hands-on, and requires strong leadership skills. The role offers exposure to cutting-edge projects involving AI/ML, data platforms, application modernization, and DevSecOps practices across major cloud providers like Azure, AWS, and GCP. You will be responsible for shaping end-to-end cloud strategies—from early architectural decisions to automation, implementation, and optimization of production-ready environments. As a Cloud Solutions Architect at CoStrategix, you will act as a senior-level contributor and technical leader across our core practices—AI Solutions & Strategy, Data Engineering, Platform Modernization, and Product Design. You will collaborate with cross-functional teams to define infrastructure blueprints, enable CI/CD automation, implement MLOps pipelines, and ensure architectural integrity, governance alignment, and cost efficiency across cloud ecosystems. Key Responsibilities • Define and deliver a comprehensive technical strategy that aligns with business objectives and leverages emerging technologies, including strategic AI/ML capabilities. • Identify architectural scenarios that parallel business needs and incorporate them into technical design and implementation. • Bridge the gap between technical and business requirements, communicating complex technical discussion points to stakeholders using clear business language. • Collaborate to design solutions focusing on security, scalability, durability, performance, and cost-effectiveness. • Set and enforce architectural and implementation standards across various cloud services and applications. • Partner with cloud, data, and architecture governance boards, ensuring designs and implementations adhere to enterprise architecture principles and guidelines. • Continuously research and learn new methodologies & technologies, bringing valuable knowledge and best practices back to the team. • Apply technical leadership and influence to negotiate optimal engineering and platform approaches for both data and application implementations, including robust MLOps practices for AI solutions. • Communicate with and lead a technical team consisting of project managers, team leads, QA, and developers throughout the project lifecycle. • Design automation of platforms in cloud environments with CI/CD processes to enhance efficiency and reliability. • Partner with architecture, data, security, infrastructure, and application teams to design and implement automation for application, data, and database platforms and tools. • Maintain appropriate controls and documentation to ensure compliance with audit requirements and qualifications. • Articulate the need for scalability and understand the importance of improving quality through rigorous testing. • Perform cost, capacity, and performance management analysis, optimizing resource allocation for diverse workloads, including AI compute. • Leverage AI-powered tools and platforms to accelerate the generation of daily work deliverables, such as documentation, code snippets, or design proposals, to enhance efficiency. • Possess a deep-rooted working knowledge of one or more major cloud providers, including Microsoft Azure, Google Cloud Platform (GCP), and/or Amazon Web Services (AWS). Education and Experience • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field; Master’s degree or relevant certifications (e.g., Azure Solutions Architect Expert, AWS Certified Solutions Architect, or Google Professional Cloud Architect) preferred. • Minimum 7 years of hands-on experience in cloud architecture, infrastructure design, and solution delivery across Azure, AWS, and/or GCP. • Proven experience designing and deploying cloud-native and hybrid solutions with strong emphasis on scalability, security, automation, and cost optimization. • Strong background in infrastructure-as-code (e.g., Terraform, ARM, CloudFormation), CI/CD pipelines, and DevOps best practices. • Experience implementing or integrating AI/ML workloads, MLOps pipelines, or data platforms in cloud environments. • Familiarity with enterprise architecture principles, governance processes, and cloud security frameworks. • Experience working in Agile environments with cross-functional teams including developers, data engineers, and product managers. Qualifications • Strong analytical and problem-solving skills with a data-driven approach to decision-making. • Ability to work effectively in a fast-paced, collaborative environment. • Demonstrated competency in working with cross-functional teams, and effective team-management skills. • Excellent communication and interpersonal skills, with the ability to translate complex technical concepts into business language.

Requirements