Platform Engineering Engineer 3

Generally, 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. Experience Required: Java & Cloud Development: Strong proficiency in Java, Angular, or other JavaScript technologies, with experience designing and deploying cloud-based data pipelines and microservices using GCP tools such as BigQuery, Dataflow, and Dataproc.

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 at scale. Generally, 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. Key Responsibilities: • 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 (BigQuery, 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. • AI/ML: Leverage AI to accelerate delivery and solve business problems at platform level.

Skills Required:
Microservices, Web Services, Full Stack, Database Design, GCP, Data Governance, Information Security, Performance Tuning, Cross-functional, Automation, AIPGEE, Analytical skills

Skills Preferred:
Reliability Engineering

Experience Required:
Java & Cloud Development: Strong proficiency in Java, Angular, or other JavaScript technologies, with experience designing and deploying cloud-based data pipelines and microservices using GCP tools such as BigQuery, Dataflow, and Dataproc. Data Platform Technologies: Experience with modern data platform technologies such as Apache Beam and Kafka, including designing and orchestrating platform services to deliver scalable data capabilities. Service-Oriented Architecture & Microservices: Strong understanding of SOA and microservices architecture within cloud data platforms. Experience developing scalable services using Java/Spring Boot, Python, Angular, and GCP. Full-Stack Development: Knowledge of front-end and back-end technologies, with the ability to collaborate on data access and visualization layers using technologies such as React and Node.js. API Development: Experience designing and developing RESTful APIs for integration across platform services. Testing & Quality: Ability to develop robust unit and functional tests while maintaining strong test coverage and application quality. Database Management: Experience with relational databases such as PostgreSQL and MySQL, NoSQL databases, and columnar databases such as BigQuery. Data Governance & Security: Understanding of data governance frameworks and experience implementing RBAC, encryption, and data masking in cloud environments. CI/CD & Automation: Familiarity with CI/CD pipelines, Terraform/IaC, and automation frameworks. Source Control & Troubleshooting: Experience using GitHub to manage code changes and troubleshoot and resolve application defects. SDLC: Ability to independently manage the full software development lifecycle, including feature design, development, testing, and production releases, while following SDLC best practices. Problem-Solving: Strong analytical and troubleshooting skills with the ability to resolve complex data platform and microservices issues.

Experience Preferred:
Certifications (Preferred): GCP Data Engineer, GCP Professional Cloud

Education Required:
Bachelor's Degree

Education Preferred:
Master's Degree

Additional Information:
4 days on site the manager specifically wants a hands-on engineer
Location: (Dearborn,MI)
Disclaimer: 
Kyyba is an Equal Opportunity Employer.
Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications, merit, and business need.”
It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please contact Kyyba at 248-813-9665
 
Rewards:
Medical, dental, vision
401k 
Term life
Voluntary life and disability insurance
Optional Pre-paid legal plan
Optional Identity theft plan
Optional Medical and dependent FSA
Work-visa sponsorship
Opportunity for advancement
Long-term assignment with opportunity for hire by client 
 
 
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