Job
Description
As a key member of our dynamic team, you will play a vital role in crafting exceptional software experiences. Your responsibilities will encompass the design and implementation of innovative features, fine-tuning and sustaining existing code for optimal performance, and guaranteeing top-notch quality through rigorous testing and debugging. Collaboration is at the heart of what we do, and you’ll be working closely with fellow developers, designers, and product managers to ensure our software aligns seamlessly with user expectations. As a Cloud Platform Developer specializing in Infrastructure as Code, you will: Design and automate deployable architectures for IBM Cloud resources using Infrastructure as Code (IaC) tools such as Terraform, Ansible, Go, HCL or similar technologies. Develop reusable automation modules and templates to enable consistent, scalable, and secure cloud deployments. Collaborate with architects and offering managers to translate solution designs into automated infrastructure blueprints. Ensure compliance and security by embedding best practices and governance policies into infrastructure code. Participate in design reviews and technical discussions , presenting infrastructure solutions and automation strategies to engineering and architecture teams. Own and drive infrastructure automation projects , adapting to varying scopes and timelines based on business needs. Write and maintain test cases (unit, integration, and functional) to validate infrastructure deployments and ensure reliability. Continuously improve deployment pipelines and contribute to the evolution of cloud platform engineering practices. Document deployable architectures and automation modules in a clear, concise, and user-friendly manner to help internal teams and consumers effectively adopt and integrate them. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4+ years of experience in software development or engineering, with a strong foundation in data structures and algorithms . 2+ years of hands-on experience designing and developing cloud-native architectures and working with IBM Cloud or other major cloud platforms (AWS, Azure, GCP). Proven expertise in Infrastructure as Code (IaC) using tools such as Terraform , Ansible , or similar automation frameworks. 3+ years of experience in Golang or a related programming language, with a solid understanding of RESTful API design , microservices , and ORM concepts . Experience developing and maintaining REST APIs using Golang and/or Python . Strong understanding of containerization and orchestration technologies , with 2+ years of experience using Docker and Kubernetes . Proficiency in using version control systems , preferably Git . Demonstrated ability to troubleshoot, debug, and optimize infrastructure and application code. Excellent verbal and written communication skills , with the ability to document deployable architectures and automation modules clearly for internal and external consumption. Experience working in agile development environments , collaborating across cross-functional teams. Preferred technical and professional experience Experience with message queuing systems such as Kafka or RabbitMQ for building scalable, event-driven architectures. Familiarity with relational databases , preferably PostgreSQL , and caching solutions like Redis . Exposure to CI/CD pipelines and tools such as Jenkins, GitHub Actions, or Tekton for automating build and deployment workflows. Hands-on experience with test automation frameworks to ensure infrastructure and application reliability. Proficiency in HTML, JavaScript , or other front-end technologies is a plus for working with UI-related infrastructure components. Strong background in Infrastructure as Code (IaC) using Terraform , Ansible , or similar tools. Experience deploying and managing applications in a cloud-native environment , with a focus on scalability, availability, and performance. Familiarity with cloud-native monitoring and alerting tools such as Prometheus , Grafana , or Elasticsearch for observability and operational insights.
