Vizcom Logo

Vizcom

Senior Software Engineer – Backend

Reposted 17 Days Ago
Be an Early Applicant
Hybrid
San Francisco, CA, USA
195K-225K Annually
Senior level
Hybrid
San Francisco, CA, USA
195K-225K Annually
Senior level
The Senior Software Engineer will architect and deliver backend systems, optimize API performance, and mentor teammates while tackling various distributed system challenges.
The summary above was generated by AI

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.

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
$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.

HQ

Vizcom San Francisco, California, USA Office

San Francisco, California, United States, 94103

Similar Jobs

10 Days Ago
In-Office
San Francisco, CA, USA
183K-279K Annually
Senior level
183K-279K Annually
Senior level
Consumer Web • Healthtech • Professional Services • Social Impact • Software
Design and build reliable backend services powering clinical data, insurance billing, patient-facing infrastructure, and financial ledger systems. Scale high-integrity systems requiring idempotency, strong consistency, and pragmatic AI integration to automate provider workflows and enable personalized patient experiences.
Top Skills: AWSClaudeCursorDatadogEddyGeminiPagerdutyPostgresPythonRedisSentrySnowflakeTemporalTypescript
18 Days Ago
Hybrid
San Francisco, CA, USA
182K-250K Annually
Senior level
182K-250K Annually
Senior level
Healthtech • Social Impact • Software
The Senior Software Engineer will design and implement backend services, manage architectural decisions, and drive improvements in data quality, performance, and reliability, while collaborating across teams to enhance client and provider interactions in mental healthcare.
Top Skills: Ai-Assisted Dev ToolsAPIsBackend SystemsData Pipelines
Yesterday
In-Office
San Ramon, CA, USA
Senior level
Senior level
Information Technology • Professional Services • Software • Consulting
Lead design and development of scalable, secure data services for the Predix platform. Provide technical leadership to an agile team, translate product requirements into user stories, apply SDLC/Agile/TDD practices, implement high-performance algorithms, support platform tooling, and drive quality, reuse, and cross-functional collaboration.
Top Skills: Apache CommonsCassandraCloud FoundryCouchbaseGo (Golang)HadoopJavaMavenMySQLOauthOraclePostgresPredixRestRiakSoapSpark StreamingSpring FrameworkStorm

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account