Full Stack Python Developer - W2

We Miracle Software Systems is looking for the Full Stack Python Developer - W2 at Dearborn, MI location.Full Stack Python DeveloperLocation: Dearborn, MIDuration: Long TermRequired SkillsCandidates must have the following experience:5-8 years of professional experience in the USA5+ years of hands-on Python development experienceMinimum 1 year of experience with Angular, React, or Vue.jsMinimum 3 years of experience with Cloud Platforms (GCP preferred; AWS or Azure acceptable)Java experience is a plusMust-Have QualificationsStrong proficiency in Python with at least 5 years of development experienceExperience with modern JavaScript frameworks (Angular, React, or Vue)Experience working with cloud technologies (GCP, AWS, or Azure)Ability to design, develop, test, and deploy scalable applications independentlyPosition OverviewWe are seeking a highly motivated Full Stack Python Developer to join our Platform Observability Team. As a Software Engineer, you will play a critical role in designing and building next-generation self-service observability platforms that provide deep, real-time insights into enterprise data systems.You will help develop scalable infrastructure for metrics, logs, and traces, build robust data pipelines, create intuitive developer tooling, and enable engineering teams to proactively detect and resolve complex system issues.This role is ideal for engineers passionate about distributed systems, cloud-native development, developer experience, and large-scale data platforms.Core TechnologiesRequired:PythonAngular, React, or Vue.jsGCP (Preferred), AWS, or AzureBigQueryBig Data TechnologiesPreferred:JavaSpring BootDataflowPub/SubDataprocPostgreSQL/MySQLTerraformGitHubCI/CDKey ResponsibilitiesData Engineering & Platform DevelopmentDesign, develop, and maintain scalable data pipelines and microservices supporting both real-time and batch processing workloads.Build cloud-native solutions utilizing GCP services such as BigQuery, Dataflow, Pub/Sub, Dataproc, and Cloud Functions.Develop frameworks and platform services that enable enterprise-scale data platform capabilities.Microservices & API DevelopmentDesign and implement Service-Oriented Architecture (SOA) and microservices-based solutions.Develop secure, scalable, and high-performance RESTful APIs.Build and maintain backend services using Python and/or Java.Full Stack DevelopmentContribute to both front-end and back-end development efforts.Build intuitive user interfaces using Angular, React, or similar JavaScript frameworks.Enable seamless integration between data services and visualization layers.Cloud & Data Platform OperationsImplement data ingestion, transformation, and integration solutions.Optimize data storage, processing performance, and scalability.Ensure platform reliability through automation and observability best practices.Security & GovernanceImplement data governance standards and security controls.Apply RBAC, encryption, data masking, and cloud-native security features.Leverage GCP row-level and column-level security capabilities.DevOps & AutomationBuild and maintain CI/CD pipelines.Utilize Infrastructure as Code (Terraform) and automation frameworks.Manage source control using GitHub and support production deployments.Quality & Best PracticesDevelop comprehensive unit and functional tests.Follow SDLC best practices and agile development methodologies.Troubleshoot and resolve complex application and platform issues.Required ExperienceMinimum 5 years of Software Engineering experienceStrong proficiency in Python developmentExperience designing and deploying cloud-based data pipelines and microservicesExperience with GCP services such as BigQuery, Dataflow, Pub/Sub, and DataprocStrong understanding of microservices architecture and cloud-native developmentExperience developing REST APIs and distributed systemsKnowledge of relational and NoSQL databasesAdvanced SQL skills, including query optimization and data manipulationExperience with CI/CD, GitHub, and Infrastructure as Code toolsStrong analytical and problem-solving skillsPreferred QualificationsExperience with GCP-based enterprise data platformsExperience with Java and Spring BootKnowledge of observability tools, monitoring systems, and telemetry platformsGCP certifications such as:Professional Data EngineerProfessional Cloud ArchitectEducationBachelor's Degree in Computer Science, Engineering, Information Technology, or a related field.