Position Description:
We are seeking a highly motivated full stack develpoer to join our Observability team. As a Software Engineer on our Platform Observability team, you will be at the heart of our engineering ecosystem. You won't just be monitoring systems; you will be designing and building the next generation of self-service observability infrastructure that provides deep, real-time insights into our data platform. In this role, you will champion the adoption of modern telemetry standards, build robust data pipelines to handle metrics, logs, and traces daily, and create intuitive tooling that helps our engineering organization detect, diagnose, and resolve complex system issues before they impact our users. If you love solving distributed systems problems at scale and have a passion for developer experience, this is the perfect place for you. 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.
Skills Required:
GCP, Angular, Java, Python
Skills Preferred:
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.
Experience Required:
Engineer 3 Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang. 6+ years in IT; 4+ years in development
Experience Preferred:
GCP experience preferred
Education Required:
Bachelor's Degree
Additional Information:
4 days on site

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