Vizcom
Senior Software Engineer – Backend (Systems / Infrastructure)
Vizcom, San Francisco, California, United States, 94199
Why Vizcom
Our mission is to reshape design by streamlining the path from concept to creation, bringing more impactful ideas into the physical world.
We’re well-funded (Series B $51m to date), growing double-digits MoM, and expanding the core engineering team in SF. The surface area is big: realtime collaboration, GPU inference at scale, a modern TypeScript stack, and serving real enterprise
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 $195k - $225,000K + 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.
#J-18808-Ljbffr
We’re well-funded (Series B $51m to date), growing double-digits MoM, and expanding the core engineering team in SF. The surface area is big: realtime collaboration, GPU inference at scale, a modern TypeScript stack, and serving real enterprise
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 $195k - $225,000K + 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.
#J-18808-Ljbffr