Blackshark AI | Software Engineers & Platform Engineers | Full-time | Austria or Remote EU | VISA sponsorship available

We build geospatial AI infrastructure. Our platform lets analysts train custom object and change detection models on satellite/aerial/drone imagery in minutes, then reconstructs 3D terrain from those detections. We just shipped a planetary-scale simulation platform with Lockheed Martin powered by Unreal Engine.

If you want to work on distributed systems that run in a data center one day and an edge laptop the next, we have interesting problems. Our training and inference infrastructure is processing trillions of pixels and we deliver real world impact for our customers across defense, intelligence, and local governments.

Tech Stack: Python, Fast API, PyTorch, PostgreSQL, Redis, Vue.js

Infrastructure Stack: Kubernetes & Docker, Linux, AWS & Azure, Azure DevOps, Terraform, ELK, Prometheus & Grafana, ArgoCD & Helm

Roles:

Senior Software Engineer - Data Plane Team: https://jobs.eu.lever.co/blackshark/17fbf310-ea37-435f-a198-...

Software Engineer - Data Plane Team: https://jobs.eu.lever.co/blackshark/6110fedd-5cd8-40e5-ac11-...

DevSecOps Engineer - Deployment Team: https://jobs.eu.lever.co/blackshark/d425eda5-52ca-4e5c-a03d-...

Platform Engineer - Deployment Team: https://jobs.eu.lever.co/blackshark/56a85834-d986-4105-9cc8-...

or reach out to HM with questions at: 'eivanov@' + username[:-2] + '.' + username[-2:].lower()

Kepler | Full Stack Engineer | New York, NY | ONSITE | $230K-$260K + equity We're building the trust layer for AI in high-stakes industries. https://kepler.ai

LLMs hallucinate, so they can't be the thing producing your numbers. In Kepler, the LLM orchestrates (decides what data to gather, what to compute, how to structure the output), but the model never touches the data itself. Every actual value flows through deterministic code pipelines with provenance metadata back to source. Verification loops cross-check outputs before users see them.

We started in finance because tolerance for wrong answers is zero. First product is a research platform for buy-side analysts: pull comparables, build models, research filings. Same architecture extends to chemicals, legal, healthcare. Models are commoditizing fast; the trust layer is what's missing.

If you want the deeper architecture writeup, Anthropic just published a case study on Kepler: https://claude.com/blog/how-kepler-built-verifiable-ai-for-f...

What you'd build:

- Source-explorer UI that traces any value back to its exact origin in the original document - Extraction pipeline for a data source we don't yet handle, with provenance and verification from day one - Agent orchestrator that handles partial failures so a bad extraction from one source doesn't block parallel work - Verification rules that cross-check values across multiple sources and surface conflicts with provenance on both sides

Stack: Rust backend (orchestration, extraction, computation), TypeScript/React frontend, PostgreSQL, AWS. Model-agnostic, currently Claude + GPT. We don't require Rust experience; we hire on fundamentals.

Looking for 5 years production experience, strong in TypeScript/React, comfortable in backend work. Bonus if you've built systems where correctness mattered (payments, data infra, healthcare, anything where a wrong output has consequences). Distributed systems basics: concurrency, fault tolerance, retries, idempotency.

Founding team is 40+ combined years at Palantir building Foundry's core systems (Ontology, Fusion, Workshop, FoundryML). CEO scaled a data company to $15M ARR, sold it, then ran Business Engineering at Citadel. Backed by founders of OpenAI, Meta AI Research, MotherDuck, dbt Labs.

In-office NYC.

Apply: https://jobs.ashbyhq.com/kepler-ai/52624a4e-33e3-4f16-8028-0..., or email me: eddie.hammond@kepler.ai

MongoDB | Senior/Staff/Lead Site Reliability Engineers (SRE) and Infra SWE, Multiple Teams | REMOTE (US) or HYBRID (NYC, Dublin) | Full-Time

We are looking for experienced Site Reliability Engineers and Infrastructure Software Engineers to help build, scale, and secure the foundation of MongoDB Atlas, our globally distributed, multi-cloud database platform running across AWS, GCP, and Azure.

SRE at MongoDB is a builder role. We are heavily focused on making the platform more scalable, resilient, secure and self-service.

We have open roles (Senior, Staff, Lead) across several of our core Infrastructure teams:

- Infrastructure Security (InfraSec): Building infrastructure security controls and security observability tooling leveraging eBPF and Linux security mechanisms.

- Fabric: Building out service mesh, networking, and internal traffic routing.

- Storage Layer Services: Building our next-generation disaggregated storage architectures.

- Fleet Management & Deployments: Automating the lifecycle, deployments, and control planes of massive multi-cloud Kubernetes clusters.

- Atlas Infrastructure: Building core infrastructure operations on hundreds of thousands of Linux servers.

You could be a fit if:

- 5+ years of experience in SWE, SRE, or similar roles.

- Proficiency in at least one programming language: Golang, Rust, Python, C/C++ etc.

- Deep understanding of Linux internals, networking, distributed systems, and/or Kubernetes.

- Familiarity with at least one major cloud provider (AWS, GCP, or Azure).

- A builder's mentality: you think about failure modes, observability, and operability alongside correctness.

For any questions, or to apply directly (please mention HN) email: hani.benhabiles+hn@mongodb.com

Olli Health | Remote (US/CA) w/ Quarterly Travel | Full-Time | ollihealth.ai

Hi HN -

Several of our critical founding hires came through this forum, and we currently have 3 open roles!

Olli Health

Built by home health experts and seasoned product managers and engineers from Amazon, Google, Cohere Health, and Arrive Health, Olli Health streamlines ICD-10 coding and in-home documentation with industry-leading speed and accuracy, freeing nurses to focus on patients while helping agencies maximize revenue, reduce compliance risk, and scale efficiently.

We’re backed by top healthtech and AI-focused VCs (Cannage Capital, Arkitekt Ventures, and Tau Ventures) and Olli Health was recently profiled in Home Health Care News (https://homehealthcarenews.com/2025/11/home-health-ai-platfo..., Post-Acute Care's leading publication).

We are motivated by the opportunity for impact, and driven to ensure that our parents, friends, (and ourselves!) will continue to have access to quality healthcare in the home.

Roles

Senior AI Engineer | $180k-220k: Own end-to-end LLM product surfaces in a clinical/HIPAA environment, running rigorous evals and experiments across prompts, retrieval, and agents while shipping fast with strong Python chops and NLP fundamentals.

Senior Software Engineer, Scribe & Integrations | $160k-190k: Ship production React Native apps with strong TypeScript/PostgreSQL chops to own the full stack end-to-end, wrangling messy EHR data integrations and turning fuzzy clinical workflows into fast-shipped, observable features.

Senior Software Engineer, Platform | $160k-190k: Stack - Python (FastAPI/Django/Flask), React, PostgreSQL, and AWS to own platform architecture and IC delivery on a small team while mentoring engineers and setting the quality bar across a fast-moving healthcare codebase.

Requirements for all roles: 5+ YoE | Startup experience | Auth to work in US

See our website for details on each: https://www.ollihomehealth.ai/careers

BIT Capital | Head of Engineering | Berlin, Germany | ONSITE (2 days/week) | Full-time

Looking for the key engineering leader to build and scale infrastructure and data platforms for a Berlin asset management fund. We are betting big on AI to drive investment returns and build the best infrastructure to support our high alpha targets (track record >35% p.a. since inception; https://bitcap.com/en/bit-global-technology-opportunities-ai...).

You'll design large-scale data pipelines, evolve our lakehouse architecture, strengthen data quality and observability, and build infrastructure for AI/LLM workflows (agentic scaffolding, RAG, LLMOps, AI for engineering). We are looking for a hands-on technical leader, that is steering initiatives end-to-end while staying deep in implementation.

We have our roots in tech entrepreneurship (Jan Beckers), and this mindset still dominates our work culture, even as a regulated financial institution. We are a team of 45 tech- & investment experts with a flat hierarchy, hands-on leadership, fast-paced decisions, and a little nerdy culture as people are actually passionate about their work. Stack: AWS, Databricks/Spark, Python, PostgreSQL, Agentic AI.

If the complexity of financial markets excites you as much as the complexity of distributed systems, you'll love it here. Competitive comp, relocation & visa support, stellar team.

Reach out via: marc.thanhaeuser@bitcap.com