Profound
Engineering
• New York City, San Francisco, Buenos Aires
• In-office
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About Profound
Profound is an NYC-based AI startup helping brands measure and improve their visibility in AI platforms such as ChatGPT. We partner with some of the biggest brands and marketing agencies, including companies like MongoDB, Indeed, Mercury, DocuSign, Zapier, Ramp, Rho, Golin, Workable, Mejuri, Eight Sleep, G2, US Bank, Chime, and Clay.
We recently raised a $35 million Series B funding round led by Sequoia Capital, with continued backing from venture capital firms Kleiner Perkins, Khosla Ventures, Saga VC, and South Park Commons, as well as angel investors including Guillermo Rauch (Vercel) and Andrew Karam (Applovin).
About the role
As an
Infrastructure Engineer
at Profound, you'll build and scale the systems that power our rapid growth. You'll ensure our infrastructure is highly available, cost-effective, and able to handle explosive traffic and compute demands. You'll work closely with engineers across product, research, and operations to design scalable architectures, streamline deployments, and improve observability.
What You'll Do
Designing and maintaining core infrastructure across cloud environments Building Infrastructure-as-Code workflows to automate deployments and scaling Improving monitoring, logging, and alerting systems to maintain reliability Managing CI/CD pipelines to ensure seamless deployments Supporting disaster recovery planning and ensuring high availability of systems Partnering with product and research teams to design architectures that scale with workload demands Identifying and fixing performance bottlenecks in compute, storage, and networking Implementing security best practices and compliance frameworks across infrastructure Who You Are
Required:
Strong experience with cloud platforms (AWS preferred) Proficiency with Infrastructure-as-Code tools (Terraform) Deep experience with containers and orchestration (Docker, Kubernetes) Solid understanding of distributed architectures Programming proficiency in Python and Rust (or willingness to learn Rust quickly) Proven ability to ship reliable infrastructure in production environments Growth mindset and eagerness to thrive in a hyper-growth, high-ownership environment Preferred: Experience with high-throughput, low-latency systems Database scaling and optimization experience Observability and monitoring expertise Network architecture and performance tuning Security and compliance experience
Location
This is an
on-site role based in our New York City Union Square
or
San Francisco Office , designed for builders who thrive on speed, iteration, and meaningful impact.
Apply
Refer someone
Apply
Refer someone
About Profound
Profound is an NYC-based AI startup helping brands measure and improve their visibility in AI platforms such as ChatGPT. We partner with some of the biggest brands and marketing agencies, including companies like MongoDB, Indeed, Mercury, DocuSign, Zapier, Ramp, Rho, Golin, Workable, Mejuri, Eight Sleep, G2, US Bank, Chime, and Clay.
We recently raised a $35 million Series B funding round led by Sequoia Capital, with continued backing from venture capital firms Kleiner Perkins, Khosla Ventures, Saga VC, and South Park Commons, as well as angel investors including Guillermo Rauch (Vercel) and Andrew Karam (Applovin).
About the role
As an
Infrastructure Engineer
at Profound, you'll build and scale the systems that power our rapid growth. You'll ensure our infrastructure is highly available, cost-effective, and able to handle explosive traffic and compute demands. You'll work closely with engineers across product, research, and operations to design scalable architectures, streamline deployments, and improve observability.
What You'll Do
Designing and maintaining core infrastructure across cloud environments Building Infrastructure-as-Code workflows to automate deployments and scaling Improving monitoring, logging, and alerting systems to maintain reliability Managing CI/CD pipelines to ensure seamless deployments Supporting disaster recovery planning and ensuring high availability of systems Partnering with product and research teams to design architectures that scale with workload demands Identifying and fixing performance bottlenecks in compute, storage, and networking Implementing security best practices and compliance frameworks across infrastructure Who You Are
Required:
Strong experience with cloud platforms (AWS preferred) Proficiency with Infrastructure-as-Code tools (Terraform) Deep experience with containers and orchestration (Docker, Kubernetes) Solid understanding of distributed architectures Programming proficiency in Python and Rust (or willingness to learn Rust quickly) Proven ability to ship reliable infrastructure in production environments Growth mindset and eagerness to thrive in a hyper-growth, high-ownership environment Preferred: Experience with high-throughput, low-latency systems Database scaling and optimization experience Observability and monitoring expertise Network architecture and performance tuning Security and compliance experience
Location
This is an
on-site role based in our New York City Union Square
or
San Francisco Office , designed for builders who thrive on speed, iteration, and meaningful impact.