Requirements:Proficient in Terraform and AWS CDK, with hands-on experience in building scalable cloud infrastructure.Strong Python programming skills, with the ability to write efficient, maintainable code.Deep understanding of GitHub pipelines, including configuration, automation, and troubleshooting.Familiarity with VMware, Linux, and Windows operating systems.Experience with AWS Lambda and the ability to develop Lambda functions for diverse use cases.Strong knowledge of the AWS patching process and best practices in managing cloud-based systems.Excellent problem-solving skills and the ability to work independently and in collaboration with teams.Solid communication skills with the ability to explain technical concepts to non-technical stakeholders.Experience working in a fast-paced, dynamic environment.

Education / professional qualificationsDegree holder and/or related Professional qualification Background experienceMinimum 3 years managerial operational experience in either fund accounting services Languages Fluent in spoken English TechnicalExperience in complex accountingSound Knowledge of accounting GAAP, Review/Preparation of Financial Statements under IndAs, IFRS and other applicable laws and regulationsProven client operational relationship at senior level Computer / program knowledgeKnowledge of PAXUS and/or Microgen is preferable. Microsoft office, experience in the use of internal tools and programs

Education / professional qualificationsDegree level education is preferred but equivalent professional experience in IT is acceptable.Experience across application delivery. Background experienceExperience of working with hybrid cloud infrastructure environments and preferably knowledge on complex distributed data centre architectures and virtualization of networks Technical[JF1] [MB2] Practical knowledge of key technology infrastructures, AD, network, VPNs, monitoring solutions and security componentsExperience in Citrix deployments and optimal configuration Management and leadershipAble to present and communicate solutions clearly and concisely with technical and non-technical audiences from senior stakeholders to project teams, including external customersExcellent interpersonal skills including facilitation, negotiation, collaboration and influencing

Proven experience in designing and implementing enterprise data architectures.Strong understanding of data modelling concepts and methodologiesExperience with various data technologies (e.g., relational databases, NoSQL databases, data warehouses, data lake)Established best practice within an Azure platform. Ability to meet and adhere to internal and external deliverables whilst maintaining an exceptionally high standard.Ability to apply design principles, best practices and share knowledge across the teams.Familiarity with Industry models such as BAIN, DMBOKExperience in Architecture Methodologies and notations such as TOGAF and ARCHIMATE