We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,850+, and has 60 offices in 20 countries within key global markets. Our challenge We are looking for a highly skilled Cloud Infrastructure & Data Engineering Specialist to join our innovative team. This role requires a blend of cloud infrastructure automation, container orchestration, and modern data platform expertise. The ideal candidate will have extensive hands-on experience across cloud ecosystems, infrastructure-as-code practices, and data engineering platforms. Additional Information The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Halifax, NS is CAD $90k – CAD $100k/year & benefits (see below). The Role Responsibilities: Cloud Infrastructure & Platform Management: Design, deploy, and maintain scalable and resilient cloud infrastructure on platforms such as Azure. Troubleshoot network and infrastructure issues within cloud environments. Infrastructure as Code & Automation: Develop and manage infrastructure using Terraform. Troubleshoot and resolve issues related to IaC scripts, optimizing infrastructure definitions for scalability, maintainability, and efficiency. Containerization & Orchestration: Work with Kubernetes and containerization technologies to ensure efficient deployment, scaling, and management of applications across cloud environments. CI/CD Pipeline Development: Create, implement, and maintain automated CI/CD pipelines to facilitate reliable and continuous deployment processes. Data Platform Support & Engineering: Support and work within cloud data platforms such as Databricks and Snowflake. Understand and implement core data engineering concepts including query federation and data workflows. Programming & Version Control: Leverage Python for automation and data workflows. Manage code and artifacts using GitHub, Artifactory, Nexus, and other version control tools. Enterprise System Integration: Integrate SaaS solutions and cloud services with enterprise systems, working across multiple vendor ecosystems to ensure seamless interoperability.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees