Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 214 days ago

Senior Software Engineer, Infrastructure

Learning Commons5 open roles

Pay
$190,000 – $261,800 a year
Where
Redwood City, CA (Hybrid)
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Software Engineer, InfrastructureLearning Commons · Redwood City, CA (Hybrid)

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Learning Commons's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. Learning Commons postings stay open a median of 15 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 34.0%30 days
This job: posted 214 days ago

Learning Commons median: 15 days open

The posting

Learning Commons aims to scale proven teaching and learning practices to benefit every learner by building AI infrastructure that better connects the way students learn to the tools they learn with.

The Team

At Learning Commons, we pair technology with grantmaking to scale proven teaching and learning practices to benefit every learner. We aim to translate what learning science tells us about how students learn best into classroom practice. With the advent of generative AI, that translation work can be accelerated and scaled to have a greater impact.

Our mission is to bring learning science into the tools used every day by teachers and students, ensuring that technology reflects the realities of classrooms and strengthens teaching and learning.

In today’s fragmented edtech landscape, school districts are often left piecing together products that don’t always align with curricula or instructional needs. While AI holds enormous potential to support educators, it can only deliver on that promise when grounded in research, high-quality educational data, and expert evaluation. That’s why we’re building open, public-purpose infrastructure — datasets, rubrics, and resources — that help raise the standard for educational tools and create more consistent, impactful learning experiences for all students and teachers.

At our core, we are builders, and our unique builder philanthropy approach is what sets us apart from other education funders. Take a closer look at the highlights and significant milestones of CZI’s first eight years of education work.

The Opportunity

We are seeking a strong Senior Software Engineer with deep infrastructure experience to help build and scale the systems that power our Learning Commons platform and AI-enabled educational tools. This role offers the opportunity to work across the stack — from backend services and APIs to cloud infrastructure and CI/CD — ensuring our systems are reliable, secure, and easy for engineers to build upon.

As a Senior Software Engineer on the Education Tech engineering team, you’ll play a key role in designing and implementing production-grade systems that support experimental educational applications and AI developer tooling. You’ll partner closely with product, data, and platform engineers to improve system performance, strengthen observability, and streamline developer workflows.

This is a high-impact individual contributor role where you’ll own meaningful technical initiatives within the team — improving reliability, scaling services, and enhancing the developer experience through thoughtful engineering. You’ll collaborate with Trust, Security, and product engineering teams to ensure our infrastructure aligns with best practices while remaining pragmatic for a fast-moving, early-stage environment.

If you’re passionate about building robust systems, improving developer velocity, and working on technology that supports educators and students, we’d love to connect.

What You'll Do

  • Build Across the Stack – Design and implement scalable backend services, APIs, and infrastructure that power our Learning Commons platform and AI-enabled tools.
  • Strengthen Cloud & DevOps Foundations – Improve cloud infrastructure, data pipelines, CI/CD workflows, and deployment automation to increase reliability and developer velocity.
  • Own Reliability & Performance – Enhance observability, monitoring, and incident response practices; debug and resolve production issues across application and infrastructure layers.
  • Improve Scalability & Developer Experience – Identify bottlenecks and drive pragmatic improvements that make systems faster, safer, and easier to build on.
  • Collaborate & Raise the Bar – Partner with product, data, security, and platform teams; contribute to design discussions, code reviews, and shared engineering standards.

What You'll Bring

  • Strong Engineering Fundamentals – Proven experience building and operating production systems in cloud-native environments.
  • Infrastructure & DevOps Depth – Hands-on experience with infrastructure as code, containerized systems, CI/CD pipelines, and cloud architecture.
  • Modern Tooling Fluency – Experience with tools such as Terraform, Helm, GitHub Actions, Argo CD, Kubernetes, Docker, Grafana, Databricks (or comparable technologies).
  • Operational Excellence Mindset – Experience with observability, monitoring, and incident response; comfortable debugging complex distributed systems.
  • Systems Thinking – Solid understanding of scalability, networking, and secure system design, with pragmatic decision-making in fast-moving environments.
  • Collaborative Communication – Ability to contribute to technical design discussions, align cross-functionally, and elevate engineering standards within a team.

Compensation

The Redwood City, CA base pay range for a new hire in this role is $190,000 - $261,800. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

This position may be eligible to participate in Learning Commons' discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with Learning Commons' total rewards philosophy and may vary by role.

Better Together

As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.

Benefits for the Whole You

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.

  • Provides a generous employer match on employee 401(k) contributions to support planning for the future.
  • Paid time off to volunteer at an organization of your choice.
  • Funding for select family-forming benefits.
  • Relocation support for employees who need assistance moving

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

#LI-Hybrid

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Learning Commons's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Learning Commons's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Learning Commons's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.