NeuralFrame | Senior Backend Engineer, Medical Data Pipeline (Python + Rust) | REMOTE (US only, US time zones; no visa sponsorship) | Full-time | $170k–$210k + 0.1%–0.25% equity

We build software that hospitals, cancer registries and researchers use. You'd own the pipeline that pulls data from hospital systems and transforms it for analytics and research.

Where Rust fits: part of our hospital data acquisition layer, the code that talks to hospital systems, is written in Rust. You'd work on both sides: Rust where performance and correctness matter most, async Python for the rest of the pipeline. Rust experience is a strong plus. Whether you learned it at work or on your own, we want to hear what you built with it.

Stack: Rust, async Python (mypy, pytest, ruff, uv), PostgreSQL and MongoDB, Dagster, Terraform/OpenTofu, AWS (ECS/Fargate, RDS, Lambda, S3), GitHub Actions.

You'll need 5+ years building backend services or data pipelines in production (retries, idempotency, schema design and migrations, well-tested and typed code) and strong Python and SQL. No healthcare background needed.

Apply: https://wellfound.com/jobs/4829721-senior-backend-software-e.... In your note, tell us in a few sentences about one pipeline failure you traced (what broke, how you found it, what you changed) and, if you've written Rust, what you built with it.

Chronograph (chronograph.pe) | Platform Engineer | Full-Time | Remote (US) | $175,000 - $215,000 USD + equity

Chronograph was founded to bring next-generation technology to private capital markets. Through our suite of cloud-based analytics and data management solutions, we help many of the world's largest and most sophisticated venture capital, private equity, and credit funds understand their investment performance in unprecedented detail. As our business grows, we're expanding the team, backed by a recent $140M+ growth equity raise.

We are looking for a candidate with a generalist background in software development, including 5+ years of experience on Platform Engineering, DevSecOps, Site Reliability Engineering (SRE), or MLOps teams. You'd be joining a small cross-functional team and have the chance to make critical contributions. Our ideal candidate has a passion for automating ops, troubleshooting infrastructure, and creating first-class developer experiences. On top of that, expertise with the following (or similar) tools/technologies is a strong signal of fit: Kubernetes, Prometheus, Grafana, Terraform, AWS, GitHub Actions, PostgreSQL, Node.js, Ruby on Rails, Nix, and Docker.

If interested, apply here: https://grnh.se/1pm4u2ys7us

Propel Labs | Staff Full-Stack Engineer, Quality & Delivery | Remote (North America hours) | Full-time | https://propellabs.ai

Hello HN, Lisa here from Propel! We're a bunch of interdisciplinary builder-maker-designers leading a venture studio and building software for mining and deep-tech companies. Think IDEO for AI: a small senior team, direct CEO involvement, technical depth married with design craft. We are not a dev shop and not a consultancy, we're not about scope or hours, we're only about outcomes. We embed through the lifecycle of challenges and the same senior people stay on the problem.

AI agents have made engineering throughput cheap, so senior judgment is now the scarce asset: what to build, what to gate, what to trust to production. We're looking for an experienced engineer to join our small crew and play a ~70/30 build-to-lead role: - Raise the team’s bar without bureaucracy - Ship production code - Be the human PR review - Own the quality delivery system as a product - Ship spec-first - Orchestrate AI at staff level

Stack: TypeScript, React, Python, PostgreSQL, ECS/Lambda, Terraform.

We work on fascinating projects with physical implications to the world but more importantly we just really don't work with a*holes, I wake up happy to see my colleagues, the crew loves to laugh and we walk the walk.

Full role details: https://docs.google.com/document/d/1R7rPplGTziBmvnKSocRRQ5Pg...

Email lisa@propellabs.ai with a PR, design doc or postmortem you're proud of, and why this role. Always happy to jump on short calls for a mutual sus-out. It's a call for adventure, after all.

Ojin | Lead Platform Engineer | HYBRID (Berlin) or REMOTE (CET ±2h) | Full-time

Hi HN! I'm Seema, part of the team at Ojin, and we're looking for our next Lead Platform Engineer.

We build AI agents that look and sound human - real face, real voice, real-time conversation. The kind of thing that makes people ask if it's actually live the first time they see it. Getting there means solving latency at a level most infrastructure can't touch, running custom frontier models for lipsync and face generation, and orchestrating all of it live across a globally distributed GPU fabric we own and operate ourselves.

This isn't a role where you maintain what someone else built. The hard problems are still open: dynamic routing and load balancing across thousands of concurrent GPU servers spanning multiple clouds and regions, keeping latency low enough that conversation feels natural, and deployment pipelines that can keep up with a product that's moving fast.

You'd set the technical direction for all of it, working directly with the founders on a 15-person team. No layers between you and the decisions that matter.

If you've worked on distributed systems at scale, care about how things are built and not just that they work, and want real ownership rather than a slice of someone else's architecture — we'd love to hear from you.

Stack: AWS, TypeScript or Go, Terraform/Pulumi/AWS CDK, Docker, serverless architectures.

Looking for: 5+ years hands-on AWS in production, strong IaC, multi-cloud experience, low-latency systems, and startup experience.

We're not able to offer relocation or visa sponsorship. If you're already in Berlin, this is a hybrid role. If you're elsewhere, we're open to fully remote within CET ±2h. Applications outside these criteria won't be progressed.

Apply or read more at https://ojin.ai and please mention you found us on Hacker News in your application. We're also hiring across sales and marketing.

ICEYE | Platform, DevOps and Observability Engineers (Senior/Staff) | Espoo, Finland / Berlin, Germany | HYBRID | Full-time (relocation support)

ICEYE builds and operates the world's largest SAR satellite constellation. I lead the Platform organisation: three teams (Core Platform/Infra, Developer Enablement, SRE) that build the foundation our engineering ships on. Go and Python, Kubernetes on cloud and on-prem, some of it air-gapped. Terraform/OpenTofu, Istio, Vault, LGTM stack, OpenTelemetry. Mission-critical systems.

We are hiring in Espoo and our new Berlin office:

- Staff Platform Engineer: own the Kubernetes platform across cloud and on-prem, build & extend tooling in Go, set technical direction. https://jobs.ashbyhq.com/iceye/cf6ba0e9-a750-4ee7-9b0a-8cb51...

- Senior DevOps Engineer: build and run core platform components (Go, K8s, ingress, service mesh, secrets, IaC). https://jobs.ashbyhq.com/iceye/c6b51b8b-94af-4007-8464-4a4b8...

- Senior/Staff Platform Observability Engineer: own metrics, logs and traces as a product for all engineering teams, build tooling around it. https://jobs.ashbyhq.com/iceye/19a2709c-1e6d-4c8d-958a-2f07f...

What we look for: hands-on Kubernetes and cloud experience, comfort with on-prem, pragmatism and empathy for the developers you serve.

Questions? Reach me at wb@iceye.com. Apply directly.

Manifest | https://www.manifestcyber.com/ | REMOTE (US) | Full Time

Manifest is on a mission to secure the global software and AI supply chain. Our platform automates discovery and risk analysis across the software and AI systems organizations build and buy—SBOMs, AIBOMs, vulnerabilities, and third-party risk. Founded by alumni of DoD, CISA, and Palantir, we're backed by First Round Capital, Ensemble VC, Homebrew, and BoxGroup, and we work with the US Air Force, DHS, Global 2000 companies, and critical infrastructure organizations.

Roles currently available:

Senior Backend Application Engineer | $150K–$210K + equity — Build user-facing product features and the services behind them on our next-generation platform. TypeScript/Node, Go, Python, MongoDB. Looking for engineers who've shipped features end-to-end at B2B SaaS companies and care about both the product and the architecture: https://job-boards.greenhouse.io/manifest/jobs/4398657009

Senior Infrastructure Engineer | $150K–$210K + equity — Own how Manifest gets deployed everywhere our customers are: cloud, on-prem, and air-gapped. Kubernetes, Terraform/Helm, CI/CD with security built in. Bonus for FedRAMP/government or air-gapped packaging experience (Zarf, etc.): https://job-boards.greenhouse.io/manifest/jobs/4399435009

More listings here: https://job-boards.greenhouse.io/manifest

US work authorization required. If you came from this thread, please mention HN in your application.

Fig | Founding Engineer | San Francisco (hybrid) | $220k-$280k + meaningful equity

Fig is hiring its founding engineer.

Fig builds software for industrial ingredient processors, the companies between farmers and the food brands you buy. Most of them still run on paper binders: production schedules, sanitation checks, quality logs. Tech has mostly ignored them.

This is a high-ownership seat. You'll work directly with the founders, who come from food, to build a platform that pulls together fragmented food-industry data, then the AI layer on top of it. Think Glean for the food industry. Customers who signed on as design partners a year ago are still here and still shape the roadmap.

Stack: Kotlin, React, TypeScript, GCP, Postgres, Terraform.

Fig is collaborating with Scout (https://www.scoutintro.com) to meet engineers. Book a coffee chat to learn more: https://calendly.com/lucia-scoutintro

SentiLink | https://www.sentilink.com/ | Engineering & Data Science | REMOTE, HYBRID, and ONSITE (UNITED STATES ONLY) | Full Time

Primarily hiring in the U.S. for more senior level roles.

We’re hiring across Engineering (Primarily Backend/Data Platform) and Data Science / ML roles. Hiring at Manager/Director level as well as Senior IC levels. We’re language-agnostic and hire for fundamentals.

Across the team you’ll see: • Python, Go, Rust, Scala • PostgreSQL, Snowflake • Kafka, Redis • Terraform, Kubernetes • ML: XGBoost, PyTorch, Feature stores, real-time scoring pipelines

If you love solving complex distributed systems challenges, building customer-facing ML products, or working on detection systems that must be both high-precision and low-latency, you’ll fit right in.

Roles are here: https://jobs.ashbyhq.com/sentilink?utm_source=hacker_news If you have questions, feel free to reach out directly at liz.woodfield at sentilink dot com.

At SentiLink, we stop identity fraud at scale. Our products protect banks, fintechs, marketplaces, and leading financial institutions from synthetic identity fraud, identity theft, and emerging threat. We analyze millions of applications while keeping real users moving fast.

We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.

SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design.

We’re a small, high-impact team solving one of the most interesting and adversarial problems in fintech: how do you build systems that reliably determine whether a real human is on the other side of a financial transaction?

Rentman | DevOps Engineer, Senior Frontend Developer | Utrecht, NL | HYBRID | Full-time | https://rentman.io

Rentman is B2B SaaS that event and media production teams in 70+ countries use to manage gear, crew and scheduling. 100+ people, office in Utrecht and Toronto.

DevOps Engineer: own our AWS infrastructure, CI/CD, observability and cloud security. The main projects are moving from ClickOps to infrastructure as code and getting Fargate and Kubernetes onto one standard. You've led an IaC migration (Terraform/Pulumi/CDK) and you write code. https://rentman.io/jobs/devops-engineer

Senior Frontend Developer: build the onboarding flows, data import tools and setup wizards that get new customers live fast. Angular SPA with 3,500+ components and AG-Grid; we move to new Angular versions within weeks of release. Angular is a plus but not required; 3+ years as a senior in product-led SaaS is. https://rentman.io/jobs/senior-frontend-developer-customer-l...

Questions: work@rentman.io (please mention HN)

Footprint | Rust Engineers (Backend, Infrastructure, Security) | New York, San Francisco | ONSITE | VISA (case by case) | $180K-$260K + equity

We build Percy, an agent that runs financial-crimes investigations for banks and fintechs. It clears false positives, escalates real risk, and writes the case narrative and audit record a regulator will read. Under it sits four years of identity infrastructure: verification, an AWS Nitro Enclave-backed vault for PII, and the APIs our customers call directly. The backend is Rust.

We're hiring three Members of Technical Staff:

- Backend: the Rust APIs and services behind verification, vaulting, and the checks Percy runs. Production Rust is ideal; deep systems experience plus a real wish to learn it also works. Crypto or systems-security background counts for a lot.

- Infrastructure: own agent compute, isolation, deploys and observability across Rust services and long-running agents. Rust, Postgres/Aurora, AWS (ECS/Fargate), Pulumi/Terraform, Datadog, OpenTelemetry.

- Security: protect identity data we vault on behalf of regulated banks and fintechs, and prove to auditors every step was done right.

Small, senior team. Backed by QED, Index and BoxGroup. Customers include FDIC- and OCC-regulated banks plus Bilt, Nuvei and MoonPay.

Apply: https://jobs.ashbyhq.com/footprint. I'm the recruiter and will answer questions in this thread.

Prior Labs | Berlin, Freiburg, NYC | ONSITE | Full-time | Technical PM, ML Infra, Research Scientist/Engineer, Backend, Full Stack

We build foundation models for tabular data. Deep learning transformed text and images but mostly skipped tables, which are still the data behind most clinical trials, financial models and scientific experiments. The reason is structural: no natural sequence, no spatial structure, no shared vocabulary across datasets, so the architectures and scaling laws behind LLMs don't transfer.

Our approach: pre-train a transformer on millions of synthetic datasets sampled from causal-structure priors. The whole dataset goes in as context, predictions come out in one forward pass. No per-dataset training, no hyperparameter tuning, seconds instead of hours. TabPFN v2 was published in Nature and set a new state of the art; TabPFN-3 scales to 10M rows. 4M+ downloads, 8k+ GitHub stars, in production from liquid biopsy to rail maintenance. Code: https://github.com/PriorLabs/TabPFN

Since July we're an independent lab inside SAP, with more than EUR 1B committed over four years. Models stay open, research stays public, same team and offices.

Roles (most can sit in any of the three offices):

- Technical Product Manager, Integrations: take every model release live across SAP (AI Core to SAP Analytics Cloud), the cloud marketplaces and customer environments, and help decide which channels we build next. Reports to me, close to the code.

- ML Engineer, Infrastructure: own multi-cluster GPU infra (Slurm on GCP today, multi-provider next), training performance and the tooling layer. We spend tens of millions per year on compute; you own that budget.

- Research Scientist, Foundation Model: drive the model agenda - novel architectures, scaling from 10K to 1M+ samples, multimodal and causal directions. PhD plus top-venue publications, or equivalent.

- Research Engineer, Foundation Model: same agenda from the engineering side. You design experiments, write the training and eval infra, and co-author the papers.

- ML Engineer, Backend: design and scale the backend that serves and finetunes the models. Python/FastAPI, Terraform, K8s.

- Full Stack Engineer, ML Platform: build the product end to end. TypeScript + Python, React/FastAPI/Postgres.

Also hiring: Applied Scientist, Forward Deployed ML Engineer, Research Scientist (Foundational Data Science), PhD research interns, plus GTM and ops roles.

40+ people with backgrounds from Google, DeepMind, Jane Street, Goldman, G-Research, CERN. Led by Frank Hutter, advised by Bernhard Schölkopf and Yann LeCun. Comp competitive with top AI labs.

All roles and applications: https://jobs.ashbyhq.com/prior-labs

Questions welcome in the replies here.

Hiya | Senior Backend Software Engineer | Seattle, WA | HYBRID (3 days/week in office) | Full-time | $113K–$197K + equity

Hiya makes phone calls trustworthy again. We do caller ID, spam and scam protection, and branded calling for carriers, phone makers, and businesses.

I run the Communications Platform team (Seattle + Barcelona). We're building new systems where telephony meets AI: real-time scam detection on live calls, deepfake voice detection, speaker verification, and AI call screening that plugs into carrier networks. Most of it is new work, so you'll help make early architecture decisions.

Stack: TypeScript/Node.js, SIP/RTP, STT/TTS, Docker, Kubernetes, AWS, Terraform, Helm.

Looking for 3+ years of backend experience, strong TypeScript or Python, and comfort with APIs and event-driven systems. VoIP/telephony experience is a big plus but not required. I came to telecom from a software background too.

Apply: https://jobs.ashbyhq.com/hiya/2de4d41b-a919-48c4-9a6c-e0d4f3...

Radar Labs | Software Engineers (SRE, ML, backend, full-stack, mobile, security, QA) | Remote (US), NYC | Full Time | https://radar.com

- Radar is the geo-location dev tool

- Doing 1B+ API calls per day

- Our main languages are Rust and TypeScript, we also use mobile and offline pipeline languages (Python, Scala, and Terraform).

- We're based in NYC with our HQ in Union Square and remote friendly (US)

Interesting things we're working on:

- HorizonDB, our Geospatial database written in Rust

- Agents and MCP tools to visualize and debug location data at scale

- Precise indoor location more accurate than iOS and Android leveraging Ultra-Wideband, other mobile sensors and ML.

- Anomaly detection to identify spoofed locations

- Mobile infrastructure that automatically configures itself optimizing battery-life and location accuracy for different use-cases over time

- Multi-Region AWS K8s deployment, 99.99%+ availability

Check out our jobs page here: https://radar.com/jobs#jobs If you have any questions, feel free to reply here or you can e-mail me at tim@radar.com

Enveritas (YC S18, non-profit) | Backend Software Engineer | Remote (Global) | https://enveritas.org/jobs/ Enveritas is a 501(c)(3) nonprofit working on sustainability issues facing smallholder coffee farmers. We collect field data in 30+ countries and build systems for analyzing risks in coffee, cocoa, and tea supply chains (including EUDR-related deforestation checks).

* Backend Software Engineer (Python, PostgreSQL/PostGIS, Docker, AWS, Terraform) - $135-$155k -https://enveritas.org/jobs/backend-software-eng/#10d7adef8us (worldwide remote)

Curai | Remote (US) | Full-time | https://curaihealth.com

We're building AI agents to expand access to affordable, and high quality healthcare. We run a vertically integrated primary and urgent care clinic and are actively building an agentic platform focused improving longitudinal care outcomes.

We're hiring engineers to work across patient and clinician experiences, production AI systems, and the platforms that help people discover and access care.

* Sr Software Engineer, Full-Stack: https://jobs.lever.co/curai/46e0dd2f-c1dd-4ca2-9095-5b45f477...

* Sr Software Engineer, Agentic AI: https://jobs.lever.co/curai/cd31b67b-d83c-466a-ac55-cfa4c2ec...

* Sr Software Engineer, Marketing Platform: https://jobs.lever.co/curai/b157298e-4dc7-4594-a9c4-29f0dec4...

Tech stack: Agents SDK, Braintrust, Python, React, React Native/Expo, AWS, Postgres, DynamoDB, Docker, Terraform.

Open Education Applications / Neon | Senior/Lead Platform & DevOps Engineer, Senior Frontend Engineer, Senior Full-Stack Engineer | Utrecht, The Netherlands | HYBRID | DUTCH REQUIRED

Please note: working proficiency in Dutch is strictly required for these roles, and we kindly ask for no automated applications. The rest of this post will continue in Dutch.

Wij zijn een non-profit die zich inzet om lesmateriaal voor scholen beter, betaalbaarder en flexibeler te maken, in zowel digitale als gedrukte vorm.

Werktijden en kantoordagen zijn flexibel en worden in overleg bepaald op basis van de rol. Wij bieden een competitief salaris.

Technologiestack: Git monorepo, TypeScript, Yjs en React, een beetje Python, OpenTofu/Terraform, Scaleway, managed PostgreSQL en managed Kubernetes.

Openstaande rollen:

- Senior/Lead Platform & DevOps Engineer

- Senior Backend Engineer/Architect

- Senior Frontend Engineer

- Senior Full-Stack Engineer

E-mail jobs[at]openeducation.foundation met (HN) + de functienaam in het onderwerp, samen met een korte introductie en een link naar je LinkedIn-profiel en/of GitHub. Als er van beide kanten een goede match lijkt te zijn, plan ik graag een kennismakingsgesprek in.

https://openeducation.foundation | https://www.neon.nl

Location: Pisa, Italy (CET) Remote: Yes, remote only Willing to relocate: No Technologies: Python, LLM/agent orchestration, local embeddings, retrieval evaluation, AWS (Lambda/SQS/EventBridge), Terraform, Django, PostgreSQL, LightGBM/PyTorch, NLP/Transformers Résumé/CV: linkedin.com/in/vslovik Code: github.com/vslovik/fenix — local-embedding search whose relevance is actually measured: labelled control probes, blinded human ranking, precision@k. No API keys. Email: valeriya.slovikovskaya@gmail.com

Software architect, 15+ years in production systems, almost entirely startups and internal startups — fintech, e-commerce, pharma, publishing.

The work I get pulled into is the recurring startup problem: a service shipped fast under launch pressure, without adequate tests, that later has to be made reliable without being stopped. Incident response, re-architecture, and the release discipline that keeps it from happening again. Most recently that has meant a regulated UK consumer-credit platform — loan servicing, arrears, forbearance, statutory breathing space, and early-settlement calculations written against consumer-credit legislation. Regulation as code, behind a test suite larger than the production codebase.

I've done that in all three configurations: taking a core system from problem statement to release, leading the team that carried it (1 to 7 engineers in ten months), and now doing the same work again with agentic tooling covering what the team used to.

On the data side: a LightGBM acquisition model over a 38M-row base — 0.77 test AUC, 8x lift in the top 1% — scoring 2.9M households for a live campaign. The part I'd rather be judged on is what happened next: I found a validation-set defect in my own pipeline (early stopping on the test split), quantified its effect across every figure I had already reported, restated them, and added a pure-noise regression test that pins the model to chance when fed random features — so that class of leak cannot come back quietly. NLP is hands-on rather than API-deep: my degree thesis fine-tuned BERT, RoBERTa and XLNet to state of the art on the FNC-1 stance-detection benchmark, published at LREC 2020.

Building on my own time: github.com/vslovik/fenix — it ranks an incoming stream against a free-text description of what you're looking for, and answers questions over the same corpus with citations back to source chunks. Ollama embeddings, sqlite-vec, no API keys. The part worth looking at is the evaluation: the ranking anchor is scored against a labelled probe set with a deliberate control group of things I don't want, and live results are rated blind — scores hidden, order shuffled — so the human judgement stays independent of the ranking it is judging. Doing that produced a measured finding I did not expect: an embedding has no notion of negation, so naming a technology in order to reject it moves the anchor toward it. Numbers and method in lessons/embedding-anchors.md.

Also a tool-calling agent that turns unstructured regulatory text into a deterministic calculation pipeline — the model does the extraction, a deterministic engine does the arithmetic.

Looking for agentic AI/LLM engineering, LLM evaluation and observability, AI integration, or software architecture. Founding-engineer shape suits me — early employee, not co-founder, but early enough to be in the room where the work gets defined. Direct with the company that owns the product: not consultancy, not agency placement, not a body on someone else's engagement.