Software Engineer, Platform (Enterprise)

1 мес. назад

United KingdomEuropeMiddle

awsazuregoogle cloudcloud architecturenetworking

Develop and maintain the enterprise platform infrastructure enabling secure, cloud-agnostic deployments across AWS, Azure, and Google Cloud.

Обязанности

In one sentence:
Build the enterprise platform that enables customers to run securely and at scale.
Examples include:
Build the infrastructure powering enterprise deployments across AWS, Azure, and Google Cloud.
Work closely with enterprise customers and cloud providers to solve complex infrastructure challenges.
Design cloud-agnostic systems that allow customers to deploy in the environment that best fits their needs.
Build secure sandboxing and runtime environments.
Design and improve networking, encryption, identity, and enterprise infrastructure capabilities.
Build the internal platform that enables engineering teams to ship enterprise features faster.
Help define the long-term architecture of Enterprise.

Требования

We're looking for a software engineer with strong infrastructure and platform engineering experience.
You'll likely have:
Experience building backend infrastructure or platform systems.
Experience building enterprise products or working in regulated environments. Experience with Bring Your Own Cloud (BYOC) deployments is especially valuable.
Strong understanding of cloud infrastructure across at least one of AWS, Azure, or Google Cloud and how to configure them securely
Strong programming skills in Go, Rust, Java, C++, or similar.
Experience working with infrastructure as code and Kubernetes
Broad knowledge across networking, databases, distributed systems, security
Experience building secure, reliable systems that operate under demanding production workloads.
A product mindset—you care about the people using the systems you build.
We're less interested in traditional DevOps experience and more interested in engineers who enjoy building software that powers infrastructure.
Please submit your application in English—it's our company language.
We review every application carefully and encourage anyone excited by the role to apply.

Другое

We're looking for an exceptional software engineer to help build the platform that powers Enterprise.
Enterprise adoption is growing rapidly, and we're building the infrastructure that allows customers to deploy securely across AWS, Azure, and Google Cloud.
From sandboxing and networking to cloud architecture and identity, you'll build the systems that make enterprise deployments possible.
lets anyone build software using natural language. Millions of people already use to transform ideas into real products in minutes.
Enterprise adoption is accelerating rapidly. Since launching our Enterprise offering, we've onboarded customers ranging from fast-growing startups to some of the world's largest companies, and we're only getting started.
To support that growth, we're building the infrastructure that makes enterprise deployments possible across every major cloud provider. Everything we build is designed to be flexible, secure, and cloud-agnostic, giving customers the freedom to deploy however they need.
You'll join a small, high-performing team with ownership over one of the most important parts of the company as we define the future of enterprise AI software.
Enterprise is one of the fastest-growing parts of .
You'll have unusually high ownership over a critical area of the product, working across engineering, enterprise customers, and major cloud providers to build infrastructure that very few companies get the opportunity to design from scratch.
If you're excited about building software that enables the next generation of enterprise AI products—and doing it across every major cloud platform—we'd love to hear from you.
We're building with tools that both humans and AI love. engineers work across the stack, and examples of our technology include:
Languages: Go, Rust, TypeScript
Cloud: AWS, Azure, Google Cloud, Cloudflare
Infrastructure: Kubernetes, Terraform, Temporal, OTEL, CI/CD
Data: Postgres, ClickHouse, Firestore, Spanner, BigQuery
We're always looking for better tools and better ways of building software.