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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.

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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.

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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.

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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?

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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 salary range can Infrastructure Engineers expect in San Francisco?

Infrastructure Engineers in San Francisco typically earn $160K-$220K base salary, with total compensation reaching $250K-$400K including equity at major tech companies. Senior roles at companies like Stripe, Airbnb, or Uber often exceed $300K total comp.

Which San Francisco neighborhoods are popular with Infrastructure Engineers?

SOMA and Mission Bay offer proximity to major tech offices and startup hubs. Potrero Hill and Bernal Heights provide more residential feel while maintaining reasonable commutes. Many also choose Oakland or Berkeley for better housing value with BART access.

What are the top hiring companies for Infrastructure Engineers in SF?

Major employers include Salesforce, Uber, Airbnb, Stripe, Square, and Dropbox for established companies. High-growth startups like Notion, Figma, and various Y Combinator companies actively recruit infrastructure talent. Cloud providers like AWS and Google Cloud also maintain significant presence.

Are there good networking opportunities for Infrastructure Engineers in San Francisco?

The Bay Area Infrastructure Meetup and DevOps SF host monthly events with 500+ attendees. SREcon and various cloud-native meetups provide excellent networking. Many companies host tech talks and the proximity of major conferences creates year-round learning opportunities.

What infrastructure technologies are most in-demand in San Francisco?

Kubernetes, AWS/GCP, Terraform, and observability tools like Datadog dominate job requirements. Many companies seek experience with service mesh, CI/CD pipelines, and container orchestration. Emerging areas include ML infrastructure and edge computing platforms.

How does the startup scene affect Infrastructure Engineer opportunities?

San Francisco's startup density creates unique opportunities to build infrastructure from scratch and gain broad experience quickly. Early-stage companies often offer significant equity upside and the chance to architect systems that scale rapidly. The risk-reward profile attracts many senior engineers.

What's the typical career progression for Infrastructure Engineers in SF?

Many progress from Infrastructure Engineer to Senior/Staff roles within 2-3 years, then to Principal Engineer or Engineering Manager. The concentration of tech companies enables lateral moves for specialization or leadership tracks. Some transition to DevRel, consulting, or founding infrastructure startups.

Infrastructure 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$302k

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

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$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

Fresh listings right now

Experience Level

Employment Type

Status

Interview prep for Infrastructure Engineer roles

Infrastructure engineers face unique technical challenges combining systems programming, distributed architecture, and operational excellence.. Explore key insights and preparation tips to help you excel in your interview process.

CODING PREP

Systems-focused coding problems

Infrastructure engineers encounter coding questions emphasizing concurrency, networking, and low-level systems concepts rather than pure algorithms.

DifficultyMedium-Hard

Focus on concurrent programming and system-level optimization

Start Practicing

SYSTEM DESIGN COURSES

Infrastructure-specific design patterns

Master designing scalable infrastructure, monitoring systems, and deployment pipelines that infrastructure engineers build and maintain.

Monitoring
Observability & alerting systems
CI/CD
Deployment pipeline architecture
Scaling
Auto-scaling & load balancing

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COMPANY INSIGHTS

What top employers prioritize

Different companies emphasize different aspects of infrastructure engineering, from cloud-native operations to bare-metal optimization.

Netflix
Chaos engineering and reliability patterns
Stripe
Payment infrastructure and compliance systems

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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.

Strategic Cost Positioning

While San Francisco housing costs run approximately 15% higher than New York, Infrastructure Engineers benefit from 25-30% higher compensation packages and abundant equity opportunities. The premium pays for itself through accelerated career growth and stock options at pre-IPO companies.

New York baseline100

San Francisco (15% lower)85

Favorable Talent Market

San Francisco maintains surprisingly manageable competition for Infrastructure Engineers compared to other tech roles. The city's focus on cutting-edge cloud architecture creates abundant specialized opportunities.

San Francisco

Seattle

New York

Frequently Asked Questions

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

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