Job Overview
- Design, develop, and maintain integration solutions for enterprise systems on Azure platform.
- Collaborate with cross-functional teams to understand integration requirements and deliver scalable solutions.
- Build and test APIs natively on Azure cloud.
- Leverage Git and DevOps throughout development lifecycle.
- Develop and deploy message brokers and message queues to enable reliable and efficient communication based on SOA.
Qualifications
7 to 10 years of experience building integration platforms and components, preferably on Azure environment.Proven expertise in designing, building, and managing integration platforms using Azure API Management, with strong skills in API development (REST, Synch / Async) using .NET and Azure Functions.Deep experience in microservices and middleware architecture, including event-driven solutions with sub / pub patterns using Azure ESB, and process orchestration with Kubernetes.Proficient in leveraging cloud-native technologies to design and deploy scalable solutions, and in implementing ETL jobs with ADF and Microsoft Fabric.Strong DevOps knowledge across the entire SDLC, with a focus on automation, using tools like GIT for source control, and Microsoft Co-Pilot to accelerate development and code delivery.Excellent troubleshooting skills for production issues, with a quality-focused mindset and adherence to SLAs, and effective collaboration and communication across development, operations, and architecture teams.CPUS Engineering employs artificial intelligence (AI) tools as part of its recruitment process to enhance efficiency and consistency. These tools may assist with activities such as application screening, candidate evaluation, and summarization of interview feedback.
AI-generated outputs are intended to supplement, not replace, human judgment. All final hiring decisions are made by qualified human decision-makers who exercise professional discretion in reviewing and assessing candidate information alongside any AI-generated insights.
CPUS Engineering ensures that the use of AI in recruitment complies with all applicable employment laws, human rights legislation, and privacy regulations. The organization is committed to maintaining fairness, transparency, and non-discrimination throughout the hiring process.