Senior Backend Engineer; -Throughput Platforms
Listed on 2026-06-02
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Software Development
Backend Developer, Senior Developer, Cloud Engineer - Software
Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.
Senior Backend Engineer (High-Throughput Platforms)Job Title: Senior Backend Engineer (High-Throughput Platforms)
Location: 100% Remote (Continental United States)
Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)
Experience: 6+ years
Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates.
Employment Type: Full-time, direct W2 with Bright Vision Technologies
Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap
Compensation: Competitive base salary commensurate with experience, plus benefits.
Employment Terms & Visa PolicyThis is a 100% remote, full-time, direct W2 position with Bright Vision Technologies.
This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third‑party client, vendor, or implementation partner involved.
We do not engage in C2C, 1099, or third-party arrangements for this role. All roles are W2 and no third-party brokerage.
Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables.
No new H1B sponsorship is available for this role. Candidates who are currently on a valid H1B visa and require a transfer are welcome to apply.
Job SummaryWe are seeking a Senior Backend Engineer focused on high‑throughput platform development to design, build, and operate the foundational platforms and shared services that other engineering teams rely on to deliver their products. This role focuses on building backend platform capabilities—request routing, traffic management, data fan‑out, caching layers, asynchronous job execution, and durable event processing—that must handle very high traffic volumes with predictable latency and minimal operational toil.
The ideal candidate combines deep distributed systems expertise with strong platform‑engineering instincts, values internal developer experience as a first‑class concern, and has a track record of leading multi‑quarter platform initiatives that meaningfully raise the engineering bar for the organizations they support.
- Design and build internal platform services and shared infrastructure that hundreds of engineers depend on every day, with explicit focus on developer experience and operational ergonomics.
- Architect high‑throughput, latency‑sensitive backend platforms capable of sustaining very high request volumes with predictable, well‑bounded tail latency.
- Build durable, replayable event‑processing pipelines and asynchronous job execution platforms that other product teams compose to ship features faster.
- Design and operate caching, rate‑limiting, and request‑shaping layers that protect upstream systems and enable safe scaling under bursty workloads.
- Develop platform abstractions, SDKs, and paved‑road libraries that codify best practices and let product teams consume capabilities without re‑implementing them.
- Establish robust observability, SLOs, and capacity‑planning practices for platform services, raising the operational bar across the organization.
- Drive multi‑region, fault‑tolerant, and geo‑distributed designs with rigorous attention to availability, durability, and graceful degradation under failure.
- Lead incident response for high‑impact platform issues, conduct blameless post‑mortems, and drive durable engineering improvements that prevent recurrence.
- Define and enforce platform‑wide standards around API design, schema evolution, deployment, and backward‑compatibility guarantees.
- Optimize platform performance through careful profiling, data‑driven tuning, and algorithmic improvements that move the needle on throughput and cost.
- Partner with infrastructure, security, and SRE teams to ensure platform services meet…
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