Senior Backend Engineer, Cloud Cost & Capacity

• Design, develop, and maintain production-grade backend services and internal software solutions supporting cloud cost visibility, resource attribution, and infrastructure capacity planning.
• Build data pipelines that process Google Cloud billing exports and Cloud Monitoring telemetry, transforming raw information into structured, queryable datasets using BigQuery.
• Develop cost attribution models that accurately distribute shared infrastructure expenses and resource consumption across Google Kubernetes Engine (GKE) clusters, teams, and services.
• Leverage tools and frameworks such as OpenCost and GKE cost allocation to improve infrastructure cost transparency and resource accountability.
• Design and implement capacity planning and demand forecasting tools that analyze infrastructure requirements by machine family and geographic region.
• Support cloud reservation planning and develop solutions that help anticipate resource constraints, prevent capacity shortages, and optimize infrastructure utilization.
• Build internal applications and dashboards that enable engineers, service owners, and budget stakeholders to monitor, understand, and manage their cloud usage and spending.
• Replace manual reporting processes, spreadsheets, and static snapshots with automated, scalable, and reliable software solutions.
• Establish the technical architecture, data models, backend services, and engineering standards that will serve as the foundation for future development and team expansion.
• Take ownership of technical direction, contribute to future hiring decisions, and help shape the evolution of the cloud cost and capacity engineering capability.
• Collaborate with Finance, product teams, service owners, and infrastructure engineers to gather requirements and translate operational challenges into effective technical designs.
• Incorporate AI-powered tools and assistants into daily engineering workflows to improve productivity, accelerate problem-solving, and deliver better engineering outcomes.
• Communicate progress, technical decisions, and implementation proposals clearly within a distributed, asynchronous working environment.

Requirements:

• Proven experience as a Senior Backend Engineer or Software Engineer, with a strong track record of designing, developing, and delivering production backend systems end to end.
• Strong SQL skills and practical experience working with large datasets, including the design, development, and maintenance of data pipelines and data models.
• Experience handling cloud infrastructure billing, usage, and resource consumption data, with the ability to transform complex datasets into meaningful insights.
• Working knowledge of at least one major cloud platform, preferably Google Cloud Platform (GCP), including compute services, Kubernetes, and cloud pricing and billing models.
• Proficiency in at least one general-purpose programming language used for backend development, tooling, and automation. Experience with Go or Python is particularly relevant, while Ruby familiarity is also beneficial.
• Experience designing and implementing scalable backend services and data processing solutions, with a strong focus on reliability, performance, and maintainability.
• Ability to independently break down complex or ambiguous technical challenges into manageable milestones and drive projects from initial design through production deployment.
• Strong analytical and problem-solving skills, with the ability to identify optimization opportunities and make data-driven technical decisions.
• Excellent written and verbal communication skills, particularly the ability to collaborate effectively with stakeholders in remote and asynchronous environments.
• A proactive and ownership-oriented mindset, with the ability to establish technical foundations, work independently, and contribute to long-term engineering strategy.

Additional experience considered an advantage:

• Experience with cloud cost management and optimization tools such as OpenCost, Kubecost, or Google Kubernetes Engine cost allocation.
• Knowledge of FinOps principles, cloud financial management practices, or relevant FinOps certifications.
• Experience with cloud cost modeling, infrastructure capacity planning, demand forecasting, or anomaly detection.
• Familiarity with Infrastructure as Code (IaC) tools such as Terraform.
• Experience with data visualization and monitoring platforms such as Looker, Looker Studio, or Grafana.
• Previous experience as a founding engineer or in establishing a new engineering capability from the ground up.
• Experience incorporating AI-powered tools, coding assistants, or agent-based workflows into software engineering processes.

Benefits:

• Flexible Paid Time Off: Enjoy flexible paid leave to support personal commitments, rest, and work-life balance.
• Remote Work: Benefit from a remote-first working environment, with location-based eligibility requirements applicable to the position.
• Equity Compensation: Access equity compensation and an employee stock purchase plan.
• Professional Development: Receive a dedicated growth and development fund to support continuous learning and career advancement.
• Parental Leave: Benefit from parental leave policies designed to support employees and their families.
• Health and Well-being: Access resources and programs supporting your physical, mental, and financial well-being.
• Employee Resource Groups: Participate in team member resource groups that encourage diversity, inclusion, and meaningful connections.
• Global Collaboration: Work alongside talented professionals across international teams in an asynchronous and documentation-driven environment.
• Inclusive Workplace: Join an equal-opportunity organization that values diversity, transparency, collaboration, and individual contributions.