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Every minute. We scan thousands of hiring sources in real-time so you see roles as soon as they go live, often hours before they appear on public job boards.Early access = higher odds of getting interviewed.

Why can I only view limited per day on the free plan?

Free access gives everyone a fair starting point. But seeing every job instantly creates an unfair advantage, so unlimited browsing is reserved for Pro users who want full access to fresh, hidden, and time-sensitive roles. Limiting free browsing also prevents automated scraping by competitors.

What sources do you pull jobs from?

We aggregate from: - company career pages - startup platforms - ATS systems (Greenhouse, Lever, Ashby, Workable, etc.) - niche regional job boards - hidden talent networks not indexed by Google Over 50,000 sources → one unified feed.

Are these jobs legitimate?

Yes. We automatically remove: - expired listings - spam - shady postings - duplicates - fake "ghost jobs" Every job you see is active, real, and verified at the source.

What’s the benefit of upgrading to Pro?

Pro gives you an information advantage. You unlock: - unlimited job browsing - real-time alerts for your saved filters - early access to newly discovered roles - deeper filtering (salary, remote, visa, experience, etc.) - access to hidden sources most job seekers never find Pro users consistently apply earlier and get significantly higher interview rates.

Can I filter by location, experience, remote, or salary?

Yes and Pro unlocks the power filters job boards don’t show you, including: - roles posted in the last 24 hours - company ATS only - startup-only sources - remote-flex categories - international roles by timezone

Why are early alerts so important?

Most job applications pile up within the first 6–12 hours after posting. If you apply early, you skip the crowd and rank higher in recruiter screening. Our alerts give you that timing advantage.

If the employer provides it, yes. If not, we attempt to estimate using salary bands from public and private datasets (Pro only).

Is DayOneJobs suitable for senior roles too?

Yes. We cover all roles, from internships to senior-level. Filters simply let you tailor your feed to your level.

What's the typical salary range for platform engineers in San Francisco?

Platform engineers in San Francisco earn $180K-$280K+ base salary, with total compensation often reaching $350K-$500K including equity at major tech companies. Senior roles at companies like Meta, Google, and Stripe can exceed $600K total comp.

Which San Francisco neighborhoods are popular among platform engineers?

SOMA and Mission Bay offer proximity to major tech offices, while Castro and Hayes Valley provide vibrant communities. Many engineers also live in Oakland or Marin County for more space and commute via BART or ferry.

What are the top companies hiring platform engineers in SF?

Major employers include Meta, Google, Salesforce, Stripe, Airbnb, Uber, and Twitter/X. High-growth startups like Figma, Notion, and various AI companies also offer compelling opportunities with significant equity upside.

How does the platform engineering community network in San Francisco?

The Bay Area Infrastructure Meetup, SREcon, and Platform Engineering SF are key networking events. Many engineers connect through company tech talks at places like the GitHub campus or informal gatherings in South Park.

What platform technologies are most in-demand locally?

Kubernetes, AWS/GCP, Terraform, and observability tools like Datadog dominate job requirements. Many companies also seek expertise in service mesh technologies, GitOps workflows, and AI/ML infrastructure platforms.

Is remote work common for platform engineering roles in SF?

Most companies offer hybrid arrangements with 2-3 days in office, though some startups are fully remote. Pure remote roles exist but often come with geographic pay adjustments for those living outside the Bay Area.

How does career progression work for platform engineers in the Bay Area?

Career paths typically lead to Staff/Principal Engineer roles, Engineering Management, or specialized positions like Infrastructure Architect. The dense tech ecosystem makes lateral moves between companies common for rapid advancement.

What's the visa situation for international platform engineers?

San Francisco companies actively sponsor H-1B and other work visas for platform engineers due to high demand. Many also support green card processes, with larger companies having dedicated immigration teams to streamline the process.

Platform Engineer
jobs in San Francisco that
LinkedIn doesn't show

2 roles from funded startups and hidden sources. Posted
minutes ago. Updated every 60 seconds

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Open roles2

Median salary band$244k

Companies hiring2

Avg time to fill18 days

We pull jobs from sources most job seekers never check

San Francisco startups funded

Corgi

Founded 2024

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$160M raised51-200 employeesSeries BB2B

Corgi is an AI-native, full-stack insurance carrier built for startups, using modern infrastructure and artificial intelligence to handle underwriting, policy management, and claims so it can deliver fast, flexible commercial insurance tailored to growing companies.[2][5]

Raised

$160M

Series B · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

Standard Intelligence

View Open Roles

$75M raised1-10 employeesSeries ASeries A

Standard Intelligence is a San Francisco-based AI research lab building foundation models optimized for computer use — agents that interact with software through its graphical interface. Its FDM-1 model is trained on video footage rather than annotated screenshots, using an inverse dynamics model to auto-generate captions, and ships with a video encoder the team says is roughly 100x more efficient than comparable alternatives. The six-person team is pursuing what it calls aligned artificial general intelligence by scaling agentic capabilities through video pretraining.

Raised

$75M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

HockeyStack

Founded 2021

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$50M raised51-200 employeesSeries AB2B

HockeyStack is a San Francisco-based enterprise revenue intelligence platform that builds AI Revenue Agents for go-to-market teams. Its event-based data architecture and machine-learning Blueprint model power autonomous agents that work alongside reps on prospecting, new business, and account expansion, with customers including Microsoft, New Relic, and Harvey.

Raised

$50M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

Noon

Founded 2024

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$44M raised11-50 employeesSeries APlatform

Noon is an AI-native product design tool that bridges the gap between product design and engineering. Unlike traditional design tools that produce static visual mockups, Noon pulls code directly from a team's codebase and design system, ensuring what a designer produces is what ships. AI is embedded throughout to handle repetitive tasks while keeping designers in creative control. Founded in October 2024 by IIT Guwahati alumni Aditya Bandi and Kushagra Sinha.

Raised

$44M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco

United States

Ulysses

Founded 2023

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$38M raised1-10 employeesSeries ASeries A

Ulysses is a San Francisco-based technology company building The Ocean Company — networked fleets of low-cost, autonomous surface and underwater vehicles engineered for persistent operation in harsh maritime environments. The platform spans mine countermeasures and intelligence, surveillance and reconnaissance for contested waters, protection of subsea critical infrastructure, offshore inspection, and ocean-conservation work such as seagrass restoration; flagship products include MAKO, a small autonomous underwater vehicle positioned as the "Model T for the ocean", and Leviathan, an autonomous surface mothership and maritime domain awareness platform. Founded in Dublin in 2023 by Akhil Voorakkara, Will OBrien, Jamie Wedderburn and Colm OBrien, the company now operates from 1640 17th Street, San Francisco, and counts the US Navy among its active customers.

Raised

$38M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

Afresh

Founded 2017

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$34M raised51-200 employeesSeries BB2B

Afresh is a San Francisco-based AI platform for the grocery industry, founded in 2017 by Matt Schwartz, Nathan Fenner, and Volodymyr Kuleshov. Its software orchestrates store-level ordering, inventory management, production planning, and distribution-center buying across fresh, center store, frozen, and general merchandise. Afresh operates in more than 12,500 departments across 40 U.S. states and partners with grocers including Albertsons Companies, Meijer, Stater Bros., and Wakefern.

Raised

$34M

Series B · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

Judgment Labs

Founded 2025

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$32M raised11-50 employeesSeries APlatform

Judgment Labs builds infrastructure that turns AI agents production data — reasoning traces, tool calls, retries, memory — into evals, alerts, and continuous-improvement loops. Its platform analyzes the full agent trajectory rather than just final outputs, surfacing failure patterns so teams can ship targeted fixes. Founded by three childhood friends (Alex Shan, Andrew Li, Joseph Camyre), the San Francisco company already powers monitoring at a growing roster of agent-native startups.

Raised

$32M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

Comfy

Founded 2024

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$30M raised11-50 employeesSeries BPlatform

San Francisco-based Comfy Org is the team behind ComfyUI, a node-based workflow platform that gives visual professionals granular control over AI image, video, 3D, and audio generation. Originally released as an open-source project in 2023, ComfyUI has grown to more than four million users and a 60,000-node community ecosystem, and is used by studios, ad agencies, and enterprise creative teams as production infrastructure. Alongside the open-source tool the company operates Comfy Cloud, a hosted runtime for teams that need collaboration, security, and managed compute.

Raised

$30M

Series B · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco

United States

Hilbert's AI

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$28M raised11-50 employeesSeries APlatform

Hilbert's AI (legally Hilbert AI Co.) is a San Francisco-based analytics and decision-automation software company that builds an AI-native growth platform for consumer (B2C) brands. The product unifies marketing, product and commerce data, uses deep-learning agents to interpret customer behaviour and recommend next-best actions, and quantifies the financial upside of each recommendation before execution — compressing multi-month analytics projects into weeks. Walmart and other consumer brands use Hilbert's to turn AI spend into measurable growth outcomes, with the platform also serving as a forecasting engine for customer-base and revenue trajectories.

Raised

$28M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, CA

United States

Treeline

Founded 2025

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$25M raised11-50 employeesSeries AAI/ML

Treeline is a San Francisco-based AI-powered IT, security, and compliance platform for growing tech companies, founded by Peter Doyle (CEO) and Hussain Kader (CTO). The platform acts as a full external IT and security team, offering 24/7 AI-enhanced help desk, automated workflows, continuous monitoring, and integrations with tools like Okta, Crowdstrike, Google Workspace, and Vanta. Treeline delivers 80% faster response times and automates 98% of IT tickets, positioning itself as a modern IT operating system for fast-scaling businesses.

Raised

$25M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

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Experience Level

Employment Type

Status

Interview prep for Platform Engineer roles

Platform Engineers face unique technical challenges combining infrastructure, automation, and developer experience.. Explore key insights and preparation tips to help you excel in your interview process.

CODING PREP

Moderate coding emphasis

Platform Engineer interviews focus more on system design and infrastructure knowledge than pure algorithms. Expect medium-level coding questions around automation, scripting, and data structures.

DifficultyMedium

Focus on Python/Go scripting and infrastructure automation patterns

Start Practicing

SYSTEM DESIGN COURSES

Infrastructure-focused system design

Platform Engineers must design scalable infrastructure, CI/CD pipelines, and developer tooling. Questions emphasize reliability, observability, and platform scalability.

CI/CD
Pipeline Architecture
Observability
Monitoring & Alerting
Infrastructure
Container Orchestration

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COMPANY INSIGHTS

Platform-specific expectations

Different companies emphasize various aspects of platform engineering, from cloud infrastructure to developer productivity tools.

Netflix
Microservices platforms and chaos engineering
Stripe
Payment infrastructure and developer APIs

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Why San Francisco stands out

Compare cost-of-living buying power and how crowded the market is versus other major tech cities—so you can focus your search where the odds fit your goals.

Premium Tech Hub with Strategic ROI

While San Francisco housing costs run approximately 15% higher than New York, platform engineers benefit from significantly higher base salaries, substantial equity compensation, and proximity to the world's most innovative tech companies, creating superior long-term wealth building potential.

New York baseline100

San Francisco (15% lower)85

Competitive but Opportunity-Rich Market

San Francisco's platform engineering market shows healthy demand with manageable competition. The city's concentration of infrastructure-focused companies creates abundant opportunities for skilled practitioners.

San Francisco

New York

Seattle

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Platform Engineer jobs in San Francisco that LinkedIn doesn't show

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