Find your next shift, anywhere.

Klara Inc·Remote (EST, CET)

Coinomi·Remote (EU timezones) We are the oldest multi-currency wallet, giving users full control of their private keys and access to hundreds assets. We are looking to modernise and scale our infrastructure. Job Requirements: - Provision and manage bare metal servers - Migrate existing infrastructure to improved setup - Build monitoring systems for server infrastructure - Implement backup and recovery procedures - Create automation scripts for server and node management - Upgrade legacy Docker containers and optimise resource usage Required Skills: - Extensive bare metal server management experience - Deep Linux/Unix systems administration - Strong scripting abilities (Bash, Python) - Proficient in Ansible for configuration management - Knowledge of distributed systems and high availability design - Docker experience with legacy system upgrades - Security-focused server management approach - Experience with data backup and recovery procedures Preferred Experience: - Server monitoring tools (Prometheus +1 more

OneChronos·NYC (HQ), London or Amsterdam

OneChronos·NYC (HQ), London or Amsterdam

OneChronos·NYC (HQ)·USD 150,000 - 220,000 / annual

Emergences Labs (emergences.ai)·Remote (US)

Proxybase·Remote, Global

Proxybase·Remote (Global)

Emergences Labs (emergences.ai)·Remote (US)·USD 120,000 - 150,000

Ionworks·Remote (US) or Pittsburgh, PA

Tangled·Remote (Global) Tangled is the next-generation social coding platform. We offer git repository hosting, stacked PRs, Nix-based CI and more. We just raised our €3.8M ($4.5M) seed round[0] to build foundational infrastructure for the future of open source. Some of the things we're working on: * a fully revamped CI (spindle v2!) built on micro VMs to allow for faster builds and more choice of build environments * protocol-level improvements across the board that’ll unlock nifty things like repo migrations across knots +11 more

CLUTCH·Remote

Ionworks·Remote (US) or Pittsburgh, PA

BCC·Bethesda MD

Datamint·Remote (Global)

Loophole Labs·Remote (Americas & Europe)

Astoria AI·Remote (async)

Syntropic (thesyntropic.com)·Remote (US)

Laminar Engineering·Contract

Puls Security·Full-time

Shorebird·Remote (North America)·USD 160,000 - 230,000 / annual

Terrace Networks·Remote (US)

Axmed·Remote (preferred CET ±2: Spain, UK, Poland +1 more

Kernel Intelligence·Remote (US)

ClickHouse·Remote (US preferred right now, EU is technically fine but I'm looking to ramp up in US atm) ClickHouse is a popular, Open-Source OLAP Database. We are ClickHouse Inc +7 more

ClickHouse·Remote US Remote preferred right now, EU is technically fine but I'm looking to ramp up in US atm ClickHouse is a popular, Open-Source OLAP Database. We are ClickHouse Inc +7 more

Makeship·Toronto, Canada

Makeship·Toronto, Canada

ClickHouse·Remote Hiring in the US right now. Seniors/Staff/Principal levels ClickHouse is a popular, Open-Source OLAP Database. We are ClickHouse Inc, the company behind the database aiming to build the best in class real time data warehouse. I am hiring for AutoScaling as well as Distributed Cache Production Engineer Roles What we are looking for: Distributed Systems / Cloud Engineers to build - AutoScaling Systems for a Cloud Database - A Distributed Caching Layer on top of S3 [0] If you have experience in productionising cloud-based multi-tenant caches - you would fit right in. We also maintain our own ClickHouse-based Data Infrastructure. Bonus points if you've worked on auto-scaling or other data-driven forecasting challenges in the past. Can work in a fast moving scale-up environment. Proactive and hands on. You must be independent and self-organized. Go +6 more

ClickHouse·Remote Hiring in the US right now. Seniors/Staff/Principal levels. ClickHouse is a popular, Open-Source OLAP Database. We are ClickHouse Inc, the company behind the database aiming to build the best in class real time data warehouse. What we are looking for: Distributed Systems / Cloud Engineers to build the AutoScaling Systems for a Cloud Database. We also maintain our own ClickHouse-based Data Infrastructure. Bonus points if you've worked on auto-scaling or other data-driven forecasting challenges in the past. Can work in an early stage startup environment. Proactive and hands on. You must be independent and self-organized. Good at Go +5 more

ClickHouse·Remote Hiring in the US right now. Seniors/Staff/Principal levels. ClickHouse is a popular, Open-Source OLAP Database. We are ClickHouse Inc, the company behind the database aiming to build the best in class real time data warehouse. What we are looking for: Distributed Systems / Cloud Engineers to build the AutoScaling Systems for a Cloud Database. We also maintain our own ClickHouse-based Data Infrastructure. Bonus points if you've worked on auto-scaling or other data-driven forecasting challenges in the past. Can work in an early stage startup environment. Proactive and hands on. You must be independent and self-organized. Good at Go +5 more

Buoyant·Remote – US / Canada / Brazil / Europe (CET-compatible)

Viewpost·Fully Remote We're a B2B payments platform (VCC, ACH, check) building a multi-tier agent architecture that replaces manual batch workflows with real-time +32 more

Mobian·Remote US/Global

FunnelStory·Remote (India)

Odin·Remote (US)

Odin·Remote (US)

Nova Credit·Remote

Nova Credit·Remote

Nova Credit·Remote

Distributed Systems Lead·48hr The Traffic Light Report

Milestone Systems·Remote (USA) The Arcules team at Milestone is looking for a Lead Data & AI Engineer to design and evolve the intelligent analytics portion of our security cloud platform. This spans from squeezing the most out of video and data coming into our platform, to building scalable data pipelines, to deploying AI models and agents that power insights for our customers. In this role +12 more

Deep Systems·Remote EMEA, APAC, and Americas

Founding Engineer (Security / AI / Distributed Systems) — Stealth Project Next-Gen Secure DePIN x Multi-Agent SLM Trading Platform (Stealth / DM for Proposal) We are building a highly secure, decentralized AI-automated asset management and trading platform running on edge DePIN nodes. The platform utilizes 10 specialized SLMs (Small Language Models) for asynchronous execution. To ensure absolute privacy for institutional and whale traders, we implement a hard-layered defense system. This eliminates the front-running and data-selling risks common in current "free" AI wallets. Tech we use: Cardano/Midnight (ZKP), Estonia UXP, KSI Blockchain, eBPF kernel monitoring, TEE (Intel SGX/AMD SEV), Wasm sandboxing, and NATS/gRPC for low-latency messaging. We are looking for TWO top-tier founding engineers to team up for our upcoming high-value Grant Proposals (Web3 Foundations & Enterprise). One will focus on Security & Infrastructure, and the other on AI & Distributed Systems. Details: - Location: Remote (Global / Target: Eastern Europe, GMT+1 to GMT+3 preferred) - Compensation (Pre-Funding): $150 - $300 setup/consulting fee upfront for a 1-hour alignment call and the legal right to include your profile/CV in our upcoming Grant Proposals. - Compensation (Post-Grant): Once funding is secured, contracted at a premium rate of $100 - $150/hr (Equivalent to a $300k annual salary range). - Benefits / Upside: NO EQUITY DILUTION. Instead, we offer a Milestone-Triggered Revenue Share. Once the platform hits $10,000 in Monthly Gross Revenue, a total of 5% to 10% of Gross Revenue will be distributed directly to the 2 founding engineers every month for 12 consecutive months. - Role: Full-time / Milestone-contract. Apply or request the full proposal document by emailing us at: tai3426g@gmail.com·Remote·USD 300,000

Empower Pharmacy is hiring engineers to work on event-driven, distributed systems that actually run a real-world business (regulated pharma), not ad tech or yet another CRUD SaaS. We just filled one Staff Engineer role directly from my last LinkedIn post (thanks to everyone who shared/applied). Now we’re expanding the team: - 1 Staff Software Engineer - 4 Senior Software Engineers - 4 Software Engineers (new grad / early career) All roles are US-based (remote within the US). We’re a small team owning the core platforms that run manufacturing, operations, and logistics. A lot of the work is greenfield or foundational: distributed systems, workflow orchestration, reliability/observability, and making it all scale in a domain where correctness actually matters. Tech stack: Java / Spring Boot, React / Next.js, Azure (Service Bus, Kubernetes), SQL Server. Event-driven, service-oriented architecture at enterprise scale. We use AI-assisted development heavily in the workflow (not as a bolt-on), so if you already lean on tools like Copilot/LLMs, you’ll be at home. We’re setting up a round-robin “Virtual Interview Day” early next week so we can run both interview rounds in a single day for candidates who advance. The process is straightforward: practical discussions, system design, and code; no brainteasers. If you: - like thinking in terms of systems and failure modes, - are comfortable across the stack (or want to grow there), - and want your work to have direct impact on how a real business operates, then I’d like to talk. Job description and application: If you’d rather skip the form, email me or DM me and include a GitHub/LinkedIn/resume and a short note on what you’ve built.·Remote

Purple Candor LLC — AI Engineer — Remote / US (Sub-contractor- 6 month+) Looking for engineers who have actually built and shipped production systems — not just designed them. Cloud engineer + agentic engineering experience. Email jeremy@purplecandor.com with a short note and something you’ve built or shipped. If you’re an engineer who likes solving hard problems where the answer isn’t obvious, let’s talk.·Remote

Location: Tbilisi, Georgia (GMT+4) Remote: Yes (required) Technologies: Ruby on Rails, Elixir, Phoenix, React, React Native, Node.js, TypeScript, PostgreSQL, Redis, AWS, LLM/AI Website: Resume/CV: LinkedIn: GitHub: Email: davit.khaburdzania@gmail.com 3x founding/first engineer with 15+ years shipping products from zero to scale. Most notably: founding engineer at EverAI — joined at zero, built nearly every core feature, grew to 20M users and $5M/month revenue. Pioneered production AI pipelines across LLMs, image generation, voice synthesis, and video — not API wrappers, full systems. Also: first eng at Shogun (YC W16, became category-leading Shopify app), CTO at AirHelp (concept to launch in 5 months), founded and scaled a 20-person dev agency. Most recently built an ad platform at TurbaMedia from zero to $24M+ annual spend in 6 months. Looking for: Early-stage startup where I can own product areas and work directly with founders. I've built entire products solo — I don't need hand-holding, I need interesting problems. Fully remote.·Remote

Location: Buenos Aires, Argentina (UTC-3) Remote: Yes Willing to relocate: Yes, depending on the opportunity Technologies: Python, TypeScript/Node.js, React/Next.js, FastAPI, PostgreSQL, AWS, PyTorch, LLM/agent systems, TTS/voice cloning Résumé/CV: GitHub: LinkedIn: Email: ffranclarke@gmail.com Software / AI Engineer and recently graduated Systems Engineer with ~1 year of professional experience. At Neufitech, I work on voice technology for people with ALS, including voice cloning/TTS, audio processing, APIs, inference infrastructure, and integration into applications. For my engineering thesis, I built ManyHands, a multi-agent software engineering orchestrator that decomposes tasks into a hierarchical DAG, runs coding agents in isolated Git worktrees, evaluates outputs, and integrates results bottom-up. Primarily looking for Software Engineering and Applied AI / AI Engineering roles. Also very interested in MLOps, AI infrastructure, and cloud/platform engineering. I enjoy working at the intersection of software, models, and infrastructure, and owning problems end-to-end. Open to remote opportunities internationally and roles in Argentina.·Remote

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.·Remote

Location: India Remote: Yes Willing to relocate: Bengaluru / open to the right opportunity Technologies: Python, TypeScript, FastAPI, Next.js, LangGraph, LangChain, RAG, MCP, Qdrant, pgvector, PostgreSQL, Docker, AWS Résumé: Email: [naman@namangupta.dev](mailto:naman@namangupta.dev) AI Systems Engineer working on production LLM systems, RAG, agents, and evaluation. Currently building multi-agent and retrieval systems handling 500+ daily queries. Experience with chunking, embeddings, reranking, vector databases, Precision@k / Recall@k / MRR evaluation, latency optimization, and production deployments. Built MCPHub, AgentMesh, and a RAG evaluation harness. Looking for full-time remote AI/backend roles or contract work with startups building agents, document AI, enterprise AI, or retrieval-heavy products. GitHub:·Remote