Platform Engineering Engineer

Position: Platform Engineering Engineer 3

Job Title: Platform Engineering Engineer 3


About Kyyba:
Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances.
At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.


Job Description

• A platform software Engineer is a versatile developer with expertise in Java or Python and a strong foundation in cloud platforms to build and manage applications erally, platform engineers fall into two categories: backend engineers, who design and implement microservices with robust APIs, and full-stack engineers, who deliver native UI/UX solutions, and ability to develop frameworks and service to enable an enterprise data platform.
  
  With a solid understanding of the SDLC and hands-on experience in Git and CI/CD, platform engineers can independently design, code, test, and release features to production efficiently.
• Design and Build Data Pipelines:
  Architect, develop, and maintain scalable data pipelines and microservices that support real-time and batch processing on GCP.
• Service-Oriented Architecture (SOA) and Microservices:
  Design and implement SOA and microservices-based architectures to ensure modular, flexible, and maintainable data solutions.
• Full-Stack Integration:
  Leverage your full-stack expertise to contribute to the seamless integration of front-end and back-end components, ensuring robust data access and UI-driven data exploration.
• Data Ingestion and Integration:
  Lead the ingestion and integration of data from various sources into the data platform, ensuring data is standardized and optimized for analytics.
• GCP Data Solutions:
  Utilize GCP services (Big Query, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that meet business needs.
• Data Governance and Security:
  Implement and manage data governance, access controls, and security best practices while leveraging GCP’s native row- and column-level security features.
• Performance Optimization:
  Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions.
• Collaboration and Best Practices:
  Work closely with data architects, software engineers, and cross-functional teams to define best practices, design patterns, and frameworks for cloud data engineering.
• Automation and Reliability:
  Automate data platform processes to enhance reliability, reduce manual intervention, and improve operational efficiency.

Skills Required:
Java, Python, GCP, Big Query, No

SQL, React

Skills Preferred:
Apache, KAFKA

Experience Required:
5+ years of experience in software development (Java/Python) 3+ years of experience with Google Cloud Platform (Big Query, Dataflow, Dataproc) 3+ years of experience building microservices and REST APIs 2+ years of experience with data pipelines and streaming technologies (Apache Beam, Kafka)

Experience with full-stack development (React/Node.js or similar) Hands-on experience with CI/CD, Terraform, and cloud deployments Strong experience with relational and No

SQL databases

Experience Preferred:

• Proficiency in Java or Python, along with Angular or other JavaScript frameworks, with experience designing and deploying cloud-based data pipelines and microservices using GCP tools such as Big Query, Dataflow, and Dataproc.
• Ability to leverage modern data platform technologies (e.g., Apache Beam, Kafka) to build platform features and design/orchestrate services that enable scalable data platform capabilities.
• Strong understanding of Service-Oriented Architecture (SOA) and microservices, with hands-on experience developing scalable services using Java Spring Boot, Python, Angular, and GCP technologies. Full-stack development experience, with knowledge of both front-end and back-end technologies (e.g., React, Node.js) to support data access and visualization layers.
• Experience designing and developing RESTful APIs for seamless integration across platform services. Ability to implement robust unit and functional testing to ensure high code quality and test coverage.
• Database experience with relational (Postgre
  
  SQL, MySQL), No
  
  SQL, and columnar databases such as Big Query. Understanding of data governance and security practices, including RBAC, encryption, and data masking in cloud environments. Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools such as Terraform, and automation frameworks. Experience managing code using Git Hub, with strong…