Home › Companies › Profound › Software Engineer, Infrastructure
Software Engineer, Infrastructure
Profound · New York, New York · On Site · Active · Ashby
Job facts
| Field | Value |
|---|---|
| Company | Profound |
| Title | Software Engineer, Infrastructure |
| Normalized title | - |
| Department / team | Engineering / Engineering |
| Location | New York, NY, United States |
| Work model | On Site |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Ashby |
| Posted / first seen | — / 2026-05-29 |
| Changed / last seen | 2026-05-31 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Profound. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Ashby. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in New York. | Open |
| Department jobs | Active postings in Engineering. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Profound |
| Source | a38af73e-28ac-4547-a8d0-a912e857358f |
| ATS provider | Ashby |
Description
Profound is the marketing platform for the AI era. As people increasingly turn to ChatGPT, Perplexity, and Gemini to decide what to buy, we give brands the intelligence to see how AI represents them and the Agents to act on it. Today, ~13% of the Fortune 500, plus companies like Ramp, Figma, Chime, Calendly, and DocuSign, use Profound to turn AI Search from a black box into a measurable growth channel.
Backed by Lightspeed, Sequoia, Kleiner Perkins, and Khosla Ventures at a $1B valuation, we're a lean, fast-moving team across NYC, SF, Buenos Aires, and London, shipping at a relentless pace and defining a new category at the biggest shift in marketing in 25 years. If you want to do the best work of your career at the frontier of AI, come build it with us.
As an Infrastructure Engineer, you will build and scale the systems that power our rapid growth. You will ensure our infrastructure is highly available, cost-effective, and able to handle explosive traffic and compute demands. You will work closely with engineers across product, research, and operations to design scalable architectures, streamline deployments, and improve observability.
What you’ll do Design and maintain core infrastructure across cloud environments
Build infrastructure-as-code workflows to automate deployments and scaling
Improve monitoring, logging, and alerting systems to maintain reliability
Manage CI/CD pipelines to ensure seamless deployments
Support disaster recovery planning and ensure high availability of systems
Partner with product and research teams to design architectures that scale with workload demands
Identify and fix performance bottlenecks in compute, storage, and networking
Implement security best practices and compliance frameworks across infrastructure
Who you are Strong experience with cloud platforms, with AWS preferred
Proficiency with infrastructure-as-code tools such as Terraform
Deep experience with containers and orchestration, including Docker and 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
Experience with high-throughput, low-latency systems
Database scaling and optimization experience
Observability and monitoring expertise
Network architecture and performance tuning experience
Security and compliance experience
Location This is an on-site role based in our NYC or SF office, designed for builders who thrive on speed, iteration, and meaningful impact. We are happy to support visa sponsorship for qualified international candidates.
For this role, the expected base salary range is $140,000 to $260,000 (NYC and SF). Comp may vary by location. Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.
Note: All official communication from Profound will come from a @tryprofound.com email address. If you're contacted by anyone using a different domain, please disregard and report it as spam.
Full job record
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| Org ID | 9c505e39-78d0-4bfc-9ddb-c998e3138b2e |
| Source ID | a38af73e-28ac-4547-a8d0-a912e857358f |
| Board ID | a38af73e-28ac-4547-a8d0-a912e857358f |
| Provider | ashby |
| Provider Job Key | ef3e3a00-c4cb-4332-811d-d3d024c6660d |
| Title | Software Engineer, Infrastructure |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | New York, New York |
| Department | Engineering |
| Team | Engineering |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | NY |
| City | New York |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.ashbyhq.com/Profound/ef3e3a00-c4cb-4332-811d-d3d024c6660d |
| Apply URL | https://jobs.ashbyhq.com/Profound/ef3e3a00-c4cb-4332-811d-d3d024c6660d/application |
| First Seen At | 2026-05-29 07:13:08Z |
| Last Seen At | 2026-06-06 09:19:41Z |
| Last Checked At | 2026-06-06 09:19:41Z |
| Last Changed At | 2026-05-31 13:48:21Z |
| Inactive At | — |
| Source Posted At | — |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=Profound/date=2026-06-06/2026-06-06T09-18-50-233Z-69cd64dd75ff3efcb94499eb5a7887aac070bd01a3dcd8008779785214f6cbe8.json |
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