Senior Software Engineer - Backend

Vizcom Technologies, Inc.

$195K — $225K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-8+ years building production web systems (TypeScript/Node or similar)
  • Strength in databases, performance tuning, and distributed systems
  • Experience operating Kubernetes or similar orchestration environments
  • Fluency with observability tools and debugging live systems
  • Bonus: GPU workloads, background job systems, or realtime architectures

Responsibilities

  • Design and implement scalable APIs in TypeScript/Node with GraphQL and Postgres
  • Profile and optimize slow paths - queries, resolvers, and I/O
  • Build and operate distributed systems: job queues, streaming, caching, and observability
  • Collaborate with AI engineers to integrate GPU inference pipelines into user workflows
  • Improve reliability: lead incident reviews, strengthen CI/CD and deployment flows
  • Mentor teammates on backend architecture, testing, and performance thinking

Benefits

  • Work with a small team for more ownership and impact
  • Emphasis on design speed and quality
  • Opportunities to author technical RFCs and improve documentation
  • Every team member participates in on-call support for continuous improvement
  • Dynamic environment focused on real-time collaboration and cutting-edge technology
Full Job Description
Agency Notice: We are not currently working with recruiting agencies for this role. Please do not contact Vizcom employees regarding this position. Any resumes submitted without a prior agreement will be considered unsolicited.

The Role

As the Senior Software Engineer - Backend (Systems / Infrastructure) you'll architect and deliver backend systems that keep Vizcom fast, reliable, and scalable as our workload and customer base grow. You'll work on everything from queueing GPU workloads to optimizing GraphQL resolvers and streaming realtime events. You'll have deep ownership over APIs, performance, and data integrity - while collaborating with frontend and AI teams to enable magical experiences. Within your first 90 days you will: ship one critical backend feature (e.g., model queue, caching layer, or realtime service), reduce p95 latency in one major API path by ~30%, Author one technical RFC proposing an improvement to architecture or reliability, Implement or document one observability improvement (metrics, traces, alerts).

Compensation
$195,000 - $225,000 annually + Offers Equity


What You'll Do
  • Design and implement scalable APIs in TypeScript/Node with GraphQL and Postgres
  • Profile and optimize slow paths - queries, resolvers, and I/O
  • Build and operate distributed systems: job queues, streaming, caching, and observability
  • Collaborate with AI engineers to integrate GPU inference pipelines into user workflows
  • Improve reliability: lead incident reviews, strengthen CI/CD and deployment flows
  • Mentor teammates on backend architecture, testing, and performance thinking


The Problems You'll Tackle
  • Distributed GPU inference and queueing with bursty workloads.
  • Realtime synchronization with WebSocket and CRDT-based collaboration.
  • GraphQL performance: caching, batching, resolver optimization.
  • Secure multi-tenant data boundaries and enterprise integrations (SSO/SAML/SCIM).


Our Stack (today)
  • Frontend: TypeScript, React, Vite, WebGL; realtime collaboration.
  • API/Backend: TypeScript/Node, GraphQL (PostGraphile), Postgres, Redis, background workers.
  • Infra: Kubernetes, Pulumi, CI/CD with GitHub Actions, Datadog for observability, feature flags.
  • Security/Enterprise: SSO/SAML (WorkOS), SOC 2-minded practices.

*Experience with every item above is not required. What matters is that you are excited to shape it.

Qualifications
  • 5-8+ years building production web systems (TypeScript/Node or similar)
  • Strength in databases, performance tuning, and distributed systems
  • Experience operating Kubernetes or similar orchestration environments.
  • Fluency with observability tools and debugging live systems.
  • Bonus: GPU workloads, background job systems, or realtime architectures.
How We Work
  • Small team, high ownership. Fewer people, more leverage.
  • Design-centric. We obsess over speed and feel; "fast enough" usually is not.
  • Write it down. RFCs, crisp decisions, living docs.
  • Operate what you build. Everyone takes on-call support; incidents drive improvement, not blame.
Interview Process
  • Intro (30m): mutual fit, role and impact.
  • Architectural deep-dive (45m): product and design collaboration.
  • Coding Session (45m):
  • Onsite Interview (half day)
  • References and offer.
Ready to Build?

If you want your work to be used daily by world-class designers and you like owning problems end to end, let's talk. Apply with links (GitHub, LinkedIn, notable projects) and a short note on something hard you shipped.

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