Site Reliability Engineer, Superblocks

$175-225k

+ Equity

Docker

Kubernetes

Python

Tensorflow

PyTorch

Mid and Senior level

New York

Programmable internal tooling platform for developers

Be an early applicant

Programmable internal tooling platform for developers

21-100 employees

B2BInternal toolsSaaS

Be an early applicant

$175-225k

+ Equity

Docker

Kubernetes

Python

Tensorflow

PyTorch

Mid and Senior level

New York

21-100 employees

B2BInternal toolsSaaS

Company mission

To unlock millions of hours in productivity by reinventing the way developer build custom business software.

Job

Company

Role

Who you are

3+ years of experience managing cloud-based production apps with deep knowledge of containers, VMs, caches, task queues, networking, and OS
Designed and deployed infrastructure in production at scale with containerized solutions like Docker, Kubernetes (k8s), ECS/EKS, Firecracker etc
Strong product sense focused on great user experiences and strategic thinking to meet market and customer needs

Desirable

Built and operated production AI systems and are familiar with AI inference techniques
Optimized language runtimes and enable cross-language integration (e.g., Go, Python, C), including customizing or building WASM compilers and runtimes
Experience with machine learning algorithms, platforms, and frameworks like PyTorch and Tensorflow

What the job involves

You’ll play a key role in designing and developing the core systems that power and manage hundreds of thousands of AI applications
If you're interested in building and operating complex infrastructure in production, innovating new AI agent architectures, and building with some of the sharpest engineers, this is the place for you
Architect and operate scalable production systems supporting both multi-tenant cloud and on-premise deployments
Design and develop a real-time distributed execution engine that powers all AI applications, workflows, and agents
Build, deploy, and optimize AI agent architecture, guardrails and evals
Partner with product and customers to define the roadmap and bring new builder and AI experiences to life

Our take

Founders Brad Menezes and Ran Ma went through the same process again and again of building new custom tools at every company they worked for, so they decided to do something about it. Realising that building blocks were usually very similar, they’ve created a universal building platform that allows companies to build custom tools more quickly and easily than before.

Superblocks' selling point is customization - it has a wide range of app, SSO and monitoring integrations, including Slack, Google, and Datadog. It also offers both a managed service and a hybrid model with open-source packages.

However, the market for customer tools and workflow automation is a competitive one, with plenty of rivals like Retool and Airplane with good reputations and large customer bases. Superblocks stands in good stead though, with the impressive level of funding it has raised focussed on improving and expanding the range of tools it offers.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

May 2025

$23m

SERIES A

Aug 2022

$37m

EARLY VC

Total funding: $60m

Company benefits

Generous equity package
Full medical, vision & dental
Unlimited PTO
Paid parental leave
Referral bonuses
Quarterly team offsites
Engineering lunch & learns
Company events
Catered team lunches
Relocation assistance
Event budget

Company HQ

NoMad, New York, NY

Leadership

Ran Ma

(Co-Founder & CTO)

Previously a Senior Software Engineer at both Morgan Stanley and Confluent.

Brad Menezes

(Co-Founder & CEO)

Co-founded NSpire Innovation Network, as well as working at Sequoia Capital and in Product Management at Yelp and Datadog.

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