1,997,226open jobs
118,118companies
244,717added this week
Browse all
Salary
≈ $169k – $314k per year (Estimated)
Location
Hybrid (San Francisco, United States)
Seniority
Senior · 6+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on May 28, 2026. Convex News scores C on the Alion truth index.

Overview
Company
Impact
Profile match
Frontier AI agents built the same ten backends on Postgres and on Convex. On Postgres, almost every one silently corrupted data under load; on Convex the same code was correct by default.

Convex is transforming the way developers build applications.

Our mission is to fundamentally change how software is built on the Internet by empowering developers to create fast, reliable, and dynamic apps without a backend team. We provide a full-stack app platform carefully designed with database, compute and backend abstractions that allow developers and LLMs to move fast but also create products that scale and remain simple over their lifetime.

The Team:

Convex has assembled a team of engineers who have built and designed some of the largest platforms in the world, with exabytes of data, millions of transactions per second, and shipped desktop and mobile software onto billions of devices. We are a group of friendly, collaborative, and passionate people that love working in-person together in our office in San Francisco. We hire primarily in SF but have a few experienced folks working remotely in certain situations.

The Role:

The Convex team has a lot of experience running large systems at scale, and as our customers and infrastructure grow, we’re looking for exceptional staff or principal-level engineers to help build and maintain what comes next. If you’re passionate about distributed systems and have experience designing and operating large-scale infra, we’d love to talk!

This is a hands-on role that moves between architecture and execution. You’ll work across core systems like our database and synchronization layer, and build out newer primitives like branching and analytics as they take shape. A lot of Convex’s platform requires serious design work where we can’t just follow best-practices since we’re the ones defining them. If you like the idea of designing a new storage layer that minimizes B-tree churn, or coming up with an API for managing ephemeral state that might disappear if a node restarts, or setting all that aside for a week and landing something simple and pragmatic because we’re a startup and need to ship, you’re going to like it here.

We value simplicity, leveraged work, and strong ownership. Our team is high-ownership and cares a lot about oncall but this isn’t an ops role - we want people who design and build things the right way… or as close as is possible at a startup.

You’ll work closely with the engineering team and CTO on some of the most important technical decisions at the company.

What You’ll Do:

  • Design, build, and maintain Convex’s global cloud infrastructure.

  • Investigate and improve the performance and reliability of our systems.

  • Be self-directed in prioritizing the right projects to work on, in close collaboration with the engineering team and CTO (hi! this is me, James).

  • Own architectural decisions that shape the long-term behavior of multiple core systems.

  • Help establish technical direction and engineering standards as Convex grows.

  • Work across the stack when needed, rather than being constrained to a single layer of infrastructure.

  • Write a bunch of cool systems and database code.

  • Occasionally put up with James asking if there’s a simpler more elegant solution to a problem.

What Excites Us:

  • 6+ years of experience in backend or systems engineering, though we care far more about depth of ownership and experience operating mission-critical systems than years alone.

  • Experience building and scaling large systems, including owning systems through major scale transitions or building core infrastructure from scratch.

  • Strong systems judgment: understanding tradeoffs and knowing when to keep systems simple versus when to invest in complexity.

  • Experience working in fast-moving environments where requirements shift and many of the hardest problems are not fully specified upfront.

  • Interest in working in-person at Convex's office in SF.

  • Ability to write high quality code (knowledge of Rust is a plus, but you’ll figure it out).

  • An enthusiasm for going deep to understand Convex systems and not be constrained to a certain layer of the stack.

Ideal Characteristics

This is an attempt to outline some characteristics of engineers who tend to thrive at Convex. We have a high demand for conceptual thought and architectural sensibilities, while also having the typical demands of a small startup.

Have they developed taste for excellence?

If someone has a few years of experience, it’s extremely valuable for them to have worked closely with a person, team, or organization that is truly excellent in any domain. Excellence can’t be learned passively since it requires being meaningfully better than the status quo. What we care about most, though, is whether they have developed a sense for what high-quality engineering looks like. This shows up in how they reason about systems, the standards they hold for their own work, and the kinds of tradeoffs they find acceptable. They should recognize that excellence is rare and that developing real engineering judgment requires years of deliberate work.

Are they a deep thinker?

Convex is a rejection of industry norms and a belief there’s a better way of building apps. This requires us to think for ourselves and chart our own course. Engineers here need to think deeply about why they’re solving problems and the long-term implications of their choices. If someone does something just because they were told to or because it’s a “best practice” they will probably not excel here.

Do they understand the demands of a user-facing live-site service?

We generally weigh experience on OLTP databases over OLAP or offline systems. Not just because it’s more relevant domain experience but it also involves a mindset that the system absolutely must work because there’s a critical user-facing application on the other side. Live-site experience brings an appreciation of how hard it is to keep a service running at all times and how important it is to build simple well-abstracted systems that are less likely to fail.

Do they value simplicity and pragmatism?

Simplicity is at the heart of all good systems, especially those that are able to scale and adapt to future needs. In addition to architectural simplicity, we also try to do the simplest thing to solve a given problem at Convex. Don’t come here because you want to write a consensus protocol or storage engine, even though sometimes we need to do these things. Come here because you want to get really good at achieving great things in the simplest possible way.

Do they bring energy to the room?

Startups are hard. Building something from nothing is hard. Driving forward progress despite uncertainty is hard. Shitting on stuff is easy and just brings everyone else down. We have a high bar for quality but also a high bar for being constructive, positive, and excited about making things better. We’re meant to be having fun here.

Do they have tenacity?

Working at Convex is rewarding and the workload isn’t crazy but our users come first and sometimes that means we need to be on-call. We sometimes (rarely), get paged at night and have to respond with dedication, sometimes need to dig deep to debug a tricky issue or solve a problem no one has solved before. There’s a camaraderie that comes from being in a team where everyone has tenacity, will step in to help each other out, and can be trusted to do the right thing.

*The salary range for this full-time position is > $240,000 + equity + benefits

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,997,226 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Backend
Similar stack
Same company
San Francisco
≈ $154k – $262k per year (Estimated) • Remote (United States) • 12+ years exp • Bachelor's Degree • United States
C#
C#
.NET
AI/ML
AI Agents
DevOps
Azure DevOps
Azure
GitHub
Apply
$192k – $202k per year • Equity • In office • Full-Time • 5+ years exp • Bachelor's Degree • San Diego
SQL
C#
Databases
PostgreSQL
RabbitMQ
Apache Kafka
DevOps
Rest API
Terraform
CloudFormation
CI/CD
Git
AWS
Docker
Kubernetes
Amazon EKS
AWS Lambda
Amazon EC2
Amazon S3
IAM
Amazon CloudWatch
API Gateway
Apply
$106k – $177k per year • Equity • In office • Full-Time • 9+ years exp • Charlotte • Austin
JavaScript
TypeScript
C#
Frontend
Angular
JQuery
DevOps
Azure
AWS
TeamCity
Octopus Deploy
Management
Agile
Scrum
Apply
$118k – $194k per year • Remote (United States) • Full-Time • 3+ years exp
Go
Go
Temporal
Databases
PostgreSQL
ClickHouse
Amazon Redshift
DevOps
gRPC
GCP
Azure
Kubernetes
Amazon S3
Amazon Kinesis
Apply
$388k – $558k per year • Equity • In office • Los Gatos
JavaScript
TypeScript
DevOps
CI/CD
AWS
Apply
Research Internship 2 days ago
$100k – $130k per year • Remote (likely United States, ET hours) • Internship
Python
Rust
TypeScript
Solidity
DevOps
Linux
Unix
Web3
Chainlink
Aave
Lido
Smart Contracts
DeFi
GMX
Apply
$190k – $252k per year • Equity • In office • Secret • 2+ years exp • Master's Degree • Broomfield • Waltham
Python
JavaScript
Rust
TypeScript
C++
Node JS
Python
FastAPI
AI/ML
Claude
Computer Vision
PyTorch
Anomaly Detection
OpenAI Codex
Machine Learning
Frontend
React.js
CesiumJS
DevOps
Rest API
CI/CD
GitHub
Robotics
Sensor Fusion
QA
Robot Framework
Apply
$142k – $188k per year • Equity • In office • Secret • Waltham • Broomfield
Python
Rust
C++
AI/ML
Claude
Computer Vision
OpenAI Codex
DevOps
Terraform
Docker Compose
Helm
CircleCI
Prometheus
CI/CD
ArgoCD
AWS
Docker
Kubernetes
Grafana
GitHub
Robotics
Foxglove Studio
Sensor Fusion
QA
Robot Framework
Apply
$144k – $192k per year • Equity • In office • Secret • Broomfield
Python
Rust
C++
AI/ML
Claude
Computer Vision
OpenAI Codex
DevOps
Terraform
Docker Compose
Helm
CircleCI
Prometheus
CI/CD
ArgoCD
AWS
Docker
Kubernetes
Grafana
GitHub
Robotics
Foxglove Studio
Sensor Fusion
QA
Robot Framework
Apply
$180k – $220k per year • Remote (United States) • Full-Time
Python
Go
JavaScript
Rust
TypeScript
Ruby
Node JS
Clojure
Elixir
Databases
PostgreSQL
Google BigQuery
Frontend
GraphQL
Angular
React.js
DevOps
Terraform
AWS
GitHub
Linux
Apply
Software Engineer, AI 5 months ago
≈ $129k – $254k per year (Estimated) • In office • Full-Time • 4+ years exp • San Francisco
TypeScript
AI/ML
AI Agents
Apply
≈ $126k – $248k per year (Estimated) • Hybrid • Full-Time • 3+ years exp • San Francisco
TypeScript
Apply
≈ $137k – $270k per year (Estimated) • Hybrid • Full-Time • 4+ years exp • San Francisco
Rust
Apply
Product Marketer 2 months ago
≈ $90k – $233k per year (Estimated) • Hybrid • Full-Time • San Francisco
Apply
GTM Engineer 2 months ago
Hybrid • Full-Time • San Francisco
TypeScript
SQL
AI/ML
Claude Code
AI Agents
OpenAI Codex
Human-in-the-Loop
Apply
Founding Engineer 11 hours ago
≈ $120k – $258k per year (Estimated) • Remote (United States) • San Francisco • New York
Go
JavaScript
Node JS
Databases
PostgreSQL
Frontend
React.js
DevOps
AWS
Amazon EC2
GitHub
Amazon S3
Amazon ECS
Web3
Ethers.js
Ethereum
DeFi
Apply
≈ $117k – $253k per year (Estimated) • Remote (United States) • San Francisco
AI/ML
AI Agents
DevOps
GCP
AWS
Docker
Kubernetes
Linux
TCP/IP
DNS
Apply
≈ $146k – $314k per year (Estimated) • Equity • In office • San Francisco
Go
JavaScript
TypeScript
Databases
PostgreSQL
AI/ML
Claude Code
AI Agents
OpenAI Codex
Agentic Workflows
Frontend
React.js
DevOps
AWS
Apply
≈ $123k – $246k per year (Estimated) • In office • 6+ years exp • Bachelor's Degree • San Francisco
DevOps
GCP
Apply
$101k – $115k per year • In office • Full-Time • 2+ years exp • Bachelor's Degree • McLean • San Francisco • Richmond • Chicago • New York
SQL
AI/ML
Machine Learning
Apply
See all jobs
This is one of many
1,997,226 more open roles from verified company boards, updated every day.