Integration Engineer

Role Overview

• Designing, developing, and delivering enterprise solutions that enable intelligent automation and process optimization within an Integration team.
• Focus on engineering, combining workflow orchestration, secure integration, standardization and applied AI to build scalable and efficient integration systems.
• Contribute to the organization’s modernization journey by developing automation-driven solutions that align with Zero Trust security principles and responsible practices.
• Design and develop secure, scalable, and modular solutions that enable automation and process optimization.
• Build and maintain workflow-driven systems to streamline operations and improve efficiency.
• Develop proofs of concept (POCs) to test new technologies and validate automation approaches.
• Ensure all designs comply with Zero Trust principles, secure identity management, and data protection standards.
• Engineering excellence by defining best practices, standard frameworks, and governance models aligned with industry standards and organizational goals.
• Partner with business, data, platform and client teams to translate requirements into robust, maintainable solutions.
• Produce and maintain solution documentation, including technical designs and operational procedures.
• Maintain compliance with enterprise security and governance standards (SOC 2, GDPR, RBAC).
• Apply AI and GenAI capabilities to enhance automation, analytics, and decision-support workflows.
• Integrate data-driven intelligence into automation solutions to support smarter decision-making.
• Apply AI risk management frameworks (e.g., NIST AI RMF, ISO/IEC 23894) to ensure responsible and transparent use of automation.

Requirements

• 7+ years of experience in integration engineering, integration, system architecture, and enterprise system delivery.
• Proven ability to identify and develop integration requirements by analysing business processes and needs.
• Expertise in designing and implementing scalable solutions.
• Have a design-led development approach, emphasizing upfront solution architecture, technical design documentation, and alignment with enterprise standards.
• Hands-on experience with Azure integration stack (Function App, Logic App, APIM, Service Bus, etc.) for secure and connected systems.
• Proficiency in .NET, C#, SQL and with experience developing REST APIs and backend services.
• Strong understanding of Zero Trust architecture and secure design principles for identity, access, and data protection.
• Experience with CI/CD pipelines and Azure DevOps, Github practices for solution deployment and maintenance.
• Exposure to Infrastructure as Code (IaC) tools such as Terraform or Bicep for automated and repeatable environment provisioning.
• Strong practical interest and familiarity with GenAI technologies (e.g., Azure OpenAI, LLMs) and a proven appetite for quickly learning and applying new AI capabilities to business problems.
• Awareness of AI risk management frameworks (e.g., NIST AI RMF, ISO/IEC 23894) and responsible technology use.
• Strong analytical and problem-solving skills, with the ability to design, troubleshoot, and optimize distributed systems.
• Excellent collaboration and communication skills across business, architecture, and platform teams.
• Demonstrated history of upskilling and adapting to new technology trends (e.g., certifications, personal projects, or contributions in nascent technology areas).
• Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
• Certified for Azure integration, DevOps and/or AI.

Tech Stack

• Azure
• Distributed Systems
• SQL
• Terraform
• .NET

Benefits

• Dynamic and international environment
• Opportunities for professional development
• Great Place to Work certified