Role Description Avenga is actively seeking a highly skilled Senior GCP Infrastructure Engineer to play a pivotal role in supporting the migration of enterprise applications to the Google Cloud Platform (GCP). The ideal candidate is a seasoned Cloud/DevOps Engineer with robust experience in GCP, infrastructure automation, and enterprise cloud migration projects. - Design, build, and maintain GCP infrastructure solutions. - Automate infrastructure provisioning and management using Terraform. - Configure and manage cloud networking, security, IAM (Identity and Access Management), and monitoring systems within GCP. - Provide essential support for the migration of enterprise workloads to GCP. - Collaborate closely with Application, Platform, and Security teams to ensure seamless integration and secure operations. Qualifications - Strong hands-on experience with Google Cloud Platform (GCP). - Proficiency with Terraform for Infrastructure as Code (IaC). - Experience with Kubernetes (preferably GKE) and/or Docker. - Expertise in Cloud Networking, including VPC, VPN, Firewalls, and Load Balancers. - Strong knowledge of IAM and Cloud Security best practices. - Proficiency in Linux Administration. - Experience with Git version control. - Familiarity with CI/CD tools, such as GitHub Actions, GitLab CI, Jenkins, or Cloud Build. - Experience with Monitoring and Logging solutions. - Strong problem-solving skills. - Advanced English language proficiency. - Experience with enterprise cloud migration projects. Requirements - No specific nice-to-have skills were provided in the job description. Benefits - No benefits information was provided in the job description.

• Join a collaborative Agile engineering team responsible for designing, building, and maintaining secure, scalable cloud-native applications. • Design, develop, test, and maintain enterprise software applications supporting CBP systems. • Deliver secure, scalable, and high-quality software while collaborating closely with engineers, architects, product owners, and stakeholders. • Design, develop, and maintain full-stack applications supporting both legacy modernization and new development initiatives. • Build scalable backend services using Python, Java, and Spring Boot. • Develop responsive, modern user interfaces using Angular, TypeScript, Angular Material, HTML, CSS, and JavaScript. • Design and consume RESTful APIs within a microservices architecture. • Develop applications within Linux containerized environments. • Participate in Agile ceremonies including sprint planning, backlog refinement, sprint reviews, retrospectives, testing, demonstrations, and production releases. • Collaborate closely with software engineers, architects, stakeholders, and end users throughout the software development lifecycle. • Enhance existing applications through performance optimization, feature enhancements, and technical modernization. • Conduct code reviews and promote engineering best practices across the team. • Analyze complex technical problems and develop innovative, scalable solutions. • Help ensure software quality, reliability, and timely delivery. • Mentor junior developers and contribute to a collaborative engineering culture. • Continuously evaluate and adopt modern development tools, frameworks, and best practices.

• Design, develop, and maintain scalable data pipelines using Azure Data Factory, Snowflake, SQL, and Python. • Build ETL and ELT processes that integrate data from enterprise applications, APIs, and third-party systems. • Develop reliable datasets and data models that support reporting, business intelligence, automation, and AI initiatives. • Partner with business stakeholders to gather requirements and translate business needs into technical solutions. • Monitor, troubleshoot, and optimize data pipelines to ensure performance, reliability, and data quality. • Perform data validation, testing, and reconciliation to ensure accurate and trusted data. • Document data flows, source-to-target mappings, and technical processes to support ongoing maintenance and knowledge sharing. • Collaborate with cross-functional teams to continuously improve the organization's cloud data platform and engineering practices.

• Design, build, and operate cloud-based solutions on Microsoft Azure using .NET/C# as the primary foundation, applying sound architecture, design patterns, and engineering best practices. • Build and maintain the middleware, API, and integration layer connecting backend services to modern front-ends (Next.js, React) and native mobile applications. • Integrate enterprise backend systems including CMS/DXP platforms, Salesforce, SharePoint, Microsoft 365, and Microsoft Graph, ensuring secure, reliable data flow across the ecosystem. • Work with SQL and document databases (Cosmos DB and similar) and Microsoft Fabric to design data models and pipelines that support both application and analytics needs. • Design and implement AI-powered features and agentic experiences using Microsoft Copilot Studio, Microsoft Foundry, Azure OpenAI, Azure AI Search, Azure Cognitive Search, and Azure Machine Learning. • Architect solutions for performance, security, and scale applying sound patterns for authentication/authorization, caching, messaging, and resilient service-to-service communication. • Own CI/CD pipelines and DevOps practices using Azure DevOps and GitHub Actions, driving automated build, test, and deployment across environments. • Use AI-driven development tools (GitHub Copilot, Claude, Codex) to accelerate delivery, prototype faster, and raise the bar on code quality across the team. • Partner with front-end and mobile engineers to define clean API contracts and shared data models that keep client and server in sync as products evolve. • Serve as a technical lead on client engagements, translating business requirements into pragmatic architecture and mentoring developers through code reviews and hands-on guidance. • Collaborate with architects across the Experience practice (DXP, Modern Workplace) to ensure backend and integration decisions align with the broader platform strategy. • Contribute to Genpact Experience’s engineering practice through reusable accelerators, internal tooling, and documentation that raise delivery quality across engagements.