Backend Engineer
Meter Feeder - San Francisco | Hybrid | Remote
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
- Not verified
- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Backend Engineer San Francisco | Hybrid | Remote Our backend is the critical infrastructure that powers a modern network-as-a-service platform. It's a high-stakes, always-on system where reliability isn't optional-it's existential. As a Backend Engineer at Meter, you'll build production systems that can never go down, wrangle billions of real-time data points, and architect solutions that scale across cloud infrastructure. The impact you'll drive - Design and maintain production-critical systems where downtime directly impacts customer operations-bugs and architectural shortcuts aren't an option - Solve challenging data problems at scale: indexing and querying billions of telemetry data points while maintaining real-time performance - Build container-native architecture that scales across geographic regions in a multi-tenant environment - Partner with frontend engineers to power real-time dashboards and data visualizations from streaming telemetry - Create APIs and tooling that enable both customer integrations and internal velocity What your craft looks like You'll work on hard engineering problems that sit at the intersection of distributed systems, real-time data processing, and cloud infrastructure. We build primarily in Go and our stack includes Postgres, Kafka for streaming data, ClickHouse for warehousing massive telemetry datasets, and GraphQL for flexible integrations. We deploy cloud-native, containerized services across AWS and Azure. Current technical challenges include: optimizing our ClickHouse cluster as telemetry volume grows, evolving our multi-tenant architecture for global deployment, security hardening across the stack, and maintaining sub-second latency for real-time data streams. What makes this role unique: you'll work in a fully integrated organization where backend, firmware, and hardware engi
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