GCP Platform Engineer

Job Responsibilities

Design, implement, and maintain highly available, scalable, and reliable infrastructure
Work closely with clients and deliver outcomes per the Statement of Work (SoW) and Service Level Agreements (SLA)
Architect, design, develop, deploy, and document new systems or maintain existing systems on Cloud Platforms based on specifications
Collaborate with, provide continuous guidance to, and influence design decisions of various Agile development teams for various existing and new products and solutions w.r.t. Cloud enablement, migration and infrastructure needs, to adopt and promote Cloud best practices, and economies of scale
Engage customers, understand their use cases and operational needs, as well as engage with Cloud Platform vendors to understand their technology roadmaps and evolution and translate to comprehensive technology guidance for various product teams
Drive and conduct audits on current cloud utilization and recommend cloud optimization and security changes
Act as a mentor and technical consultant for the various teams

Desired Responsibilities

Platform Management: Oversee the architecture and management of GCP resources, particularly BigQuery, Databricks, and Kubernetes.
Architecting Solutions: Design scalable and efficient data architectures tailored to specific business needs.
Optimization of Workloads: Analyze and optimize data processing workloads to improve performance and reduce costs.
Performance Measurement: Implement monitoring and performance metrics for data pipelines and applications.
Cost Monitoring: Develop strategies for cost-effective resource usage, including budget tracking and optimization techniques.

Required Skills

• GCP Expertise: In-depth knowledge of Google Cloud Platform services, particularly BigQuery, Databricks, and Kubernetes.
• Data Engineering: Experience with data modeling, ETL processes, and data warehousing.
• Performance Tuning: Proven track record in optimizing data processing and query performance in BigQuery.
• Kubernetes Management: Proficient in deploying and managing containerized applications using Kubernetes.
• Cost Management: Familiarity with GCP billing and cost management tools to monitor and optimize cloud expenditure.
• Monitoring Tools: Experience with GCP monitoring and logging tools (e.g., Stackdriver, Cloud Monitoring).

Years Of Experience

8 to 12 years experience
5 to 7 years of experience in GCP Solution Architect

Education Qualification

• B.E / B.Tech, BCA, MCA equivalent
• GCP - Professional Cloud Architect

Pay

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $120,000 - $150,000. In addition, for the current performance period, you may be eligible for a discretionary bonus.

Benefits

• Health, dental, vision, life insurance, and disability plans
• Free time PTO policy
• 11 paid holidays
• 12 weeks of Parental Leave
• Company 401(k) Plan
• Equal Employment Opportunity

Hiring Related Queries

India: HiringsupportIndia@fractal.ai
Outside India: HiringsupportROW@fractal.ai