Remote Dev Jobs
8 jobs available
Zvoove · RemoteRemote57y ago
Job description We are looking for a Senior AI-Native Fullstack Engineer with a DevOps focus to support multiple engineering projects across AI-powered applications, SaaS platforms, and cloud-native solutions. This is not a traditional DevOps-only role. The role combines application engineering with infrastructure ownership: building services, APIs, automation and internal tools, while also running cloud infrastructure, deployments, observability and production operations. The ideal profile is a strong fullstack or backend engineer, preferably TypeScript-heavy, with hands-on depth in AWS, Infrastructure as Code, containers, networking, permissions, secrets and observability. With modern AI and LLM tooling, repetitive engineering, infrastructure, debugging and automation work can be accelerated dramatically. We expect someone who uses AI-native workflows to investigate in parallel, generate and validate infrastructure changes, and support teams with high-quality execution. What We’re Looking For We are looking for a builder who can move across the full delivery chain: application code, infrastructure code, deployment, runtime configuration and production troubleshooting. You should be someone who: Builds application software and owns the infrastructure behind it Uses AI as a default development and troubleshooting workflow Cares about reliability, security, automation, observability and maintainability Chooses simple solutions, owns outcomes, and verifies aggressively Your tasks Fullstack Engineering: Build services, APIs, scripts, automation, internal tools and lightweight frontend functionality where useful, mainly in TypeScript Infrastructure & Cloud Setup: Use IaC, ideally AWS CDK, to build pragmatic cloud patterns across containers, databases, queues, storage, networking, DNS, secrets and runtime configuration ECS Fargate Operations: Deploy and troubleshoot ECS Fargate workloads, including task definitions, services, load balancers, IAM roles, logs, scaling and
Zvoove · RemoteRemote57y ago
Job description We are building a modern analytics and Business Intelligence solution for customers in the temp-staffing industry, integrating operational data from multiple ERP systems across countries into reliable, customer-facing insights, analytical workflows, and reusable data products. This is not a traditional data analyst or classic BI developer role . We are looking for a product-minded fullstack engineer with a strong data focus: someone who can move from messy ERP data and product-defined KPIs to validated datasets, pipelines, APIs, internal tools, and dashboards where needed. AI and LLM tooling are central to how we work. We expect someone who uses AI-native workflows to explore faster, build in parallel, validate assumptions, and ship high-quality production solutions. What We’re Looking For We are looking for a fullstack engineer with a strong data focus . You should turn ambiguous problems into working software, use AI as a default development workflow, care about correctness and maintainability, understand data edge cases, choose simple robust solutions, own the outcome from exploration to production, and move quickly while verifying aggressively. Your tasks Fullstack Product Engineering: Build backend services, APIs, internal tools, lightweight UI/admin screens, automation, job runners, integrations, and customer-specific configuration around the data Data Pipeline & Modeling: Ingest, validate, transform, and document ERP, API, SQL, file, and cloud data; map product-defined KPIs to available sources and identify gaps or inconsistencies Curated Data Products: Create validated, analysis-ready datasets with consistent schemas, reproducible transformations, and clear naming for reporting, APIs, product features, and customer-facing analytics Cloud & Production Ownership: Deploy and operate reliable cloud solutions, preferably AWS, owning monitoring, alerts, failure handling, performance, cost, and operational reliability Your profile AI-Native Developm
Flower Labs GmbH · JobRemote57y ago
Do you want to push the boundaries of what frontier AI models can be? Join as one of the founding members of the Flower Frontier Model Team, a new group at Flower Labs charged with building category-defining models that blend the bleeding-edge in existing practices together with Flower’s pioneering decentralized learning methods . This is a fundamentally different direction than the one vanilla frontier labs are taking, one that not only eases the path to GPU scaling but also unlocks new data silos currently unable to be leveraged for frontier model training. We will ship models with superhuman capabilities in domains spanning science, health, finance, drug discovery, and more. This is an opportunity to help invent and build the training paradigms that will define the next decade of AI, and to work on technologies that others will study, emulate, and build upon. About the Role (Preference given to candidates with post-training expertise. But any talented individual with a track record of exceptional drive and determination are encouraged to apply regardless of prior experience.) As a founding Research Engineer in this new team, you will play a critical role in building SOTA LLMs and foundation models within a small, high-impact team composed of contributors that have a mix of both research and engineering backgrounds. This role will provide the opportunity to shape every part of the scientific foundation of our frontier models. You’ll be deeply hands-on, turning your best ideas into working systems and collaborating with the team to scale the approaches that prove most effective. The methods you develop will be used to produce world-leading models that are open-sourced and integrated into new Flower Lab products. We expect you to bring to the team creativity, balanced against systematic experiments, and a keen awareness of the latest result from other AI labs. This will feed into how you design and implement techniques and run experiments across the spectrum of stag
Grafanalabs · 🇸🇪 SwedenRemote57y ago
<div class="content-intro"><p>Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at <u><span><a href="http://grafana.com" target="_blank">grafana.com</a></span></u> and follow us on <u><span><a href="https://www.linkedin.com/company/grafana-labs/" target="_blank">LinkedIn</a></span></u> and <u><span><a href="https://twitter.com/grafana" target="_blank">X</a></span></u>.</p> <p>We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.</p> <p>You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.</p></div><h3></h3> <p><strong>This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. </strong></p> <h4>The Opportunity:</h4> <p></p> <p>At Grafana Labs, we build observability tools that help users understand, respond to, and improve th
Grafanalabs · 🇪🇸 SpainRemote57y ago
<div class="content-intro"><p>Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at <u><span><a href="http://grafana.com" target="_blank">grafana.com</a></span></u> and follow us on <u><span><a href="https://www.linkedin.com/company/grafana-labs/" target="_blank">LinkedIn</a></span></u> and <u><span><a href="https://twitter.com/grafana" target="_blank">X</a></span></u>.</p> <p>We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.</p> <p>You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.</p></div><p><strong>This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. </strong></p> <h4>The Opportunity:</h4> <p></p> <p>At Grafana Labs, we build observability tools that help users understand, respond to, and improve their system
Grafanalabs · 🇮🇪 IrelandRemote57y ago
<div class="content-intro"><p>Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at <u><span><a href="http://grafana.com" target="_blank">grafana.com</a></span></u> and follow us on <u><span><a href="https://www.linkedin.com/company/grafana-labs/" target="_blank">LinkedIn</a></span></u> and <u><span><a href="https://twitter.com/grafana" target="_blank">X</a></span></u>.</p> <p>We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.</p> <p>You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.</p></div><p><strong></strong></p> <p><strong>This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. </strong></p> <h4>The Opportunity:</h4> <p>At Grafana Labs, we build observability tools that help users understand, respond to, and imp
1KOMMA5˚ · 🇩🇪 Berlin, GermanyRemote57y ago
1KOMMA5° At 1KOMMA5° , we pursue a clear vision: Living on wind and sunlight forever for free . To make this a reality, we are building the energy system of the future with Heartbeat AI. Want to be part of it? We bring together regional craftsmanship and scalable software: We don't think of solar, batteries, heat pumps, and e-mobility as isolated components, but control them as an intelligent, integrated overall system in our virtual power plant. Directly connected to the electricity market – in real time, fully automated. This way, energy is used when it is available from renewables and particularly cost-effective. By 2030, our goal is to transition 1.5 million households to renewable energies. Over 3,000 people are working towards this every day, at more than 80 locations worldwide, from Finland to Australia. Want to take responsibility and build solutions that truly matter? Apply now and help us shape the energy world of tomorrow. Learn about our Product & Tech team! Deine Position As part of one or two cross-functional mobile product teams, you will own the quality of our Flutter apps, and change how we approach testing. AI-driven QA is the differentiator in this role. Our QA team already uses AI for test generation, but we want to go much further. You will help invent this from scratch: autonomous exploration, smarter test orchestration, self-directed QA workflows, and QA systems that detect product risks before they reach users. This is not a "write test cases and file tickets" role. You co-own product quality end-to-end, tell engineering teams where the gaps are, and build the systems and practices that let us ship with confidence. Faster, not slower. You think about quality as something you design into the product and process, not a checklist you run before release. Our Stack Flutter & TypeScript Appium, BrowserStack Testmo for test case management GCP, GitHub Actions, Datadog AI-assisted development with Cursor and agentic coding workflows Linear, Notion, F
Pacemaker · 🇩🇪 GermanyRemote57y ago
DEIN UMFELD UND TEAM Du begeisterst dich für Machine Learning, Software Engineering und den Einsatz von KI für nachhaltige Anwendungsfälle? Dann werde Teil unseres Teams der Sustainability Management Platform und unterstütze uns dabei, Sustainability Manager mit modernen ML- und LLM-basierten Systemen in ihrem Arbeitsalltag zu entlasten. Du wirkst am Aufbau von KI-Komponenten, Datenpipelines und Modellierungslogiken mit, die unseren Kunden dabei helfen, fundierte und nachhaltige Entscheidungen zu treffen. DEIN VERANTWORTUNGSBEREICH Du unterstützt die Entwicklung unserer KI-Systeme (u. a. LLM-basierte Ansätze, Embeddings und Retrieval-Methoden), um Carbon Footprints und weitere Nachhaltigkeitskennzahlen präzise zu berechnen. Du entwickelst und optimierst Python-Code für Datenpipelines, die unsere Emissionsfaktor-Datenbank in bestehende Systeme integrieren. Du arbeitest mit SQL, um Daten zu analysieren, zu validieren und für den Einsatz in Machine-Learning-Modellen aufzubereiten. Du unterstützt bei der Datenmodellierung sowie der Automatisierung von Bilanzierungsmethoden und sorgst dafür, dass diese den aktuellen Standards entsprechen. Du unterstützt unsere Product Owner und das Machine-Learning-Team bei kundenspezifischen Recherchen, Prototypen und Modellierungsaufgaben. DAS BRINGST DU MIT Du bist aktuell in einem Bachelor- oder Masterstudium der Informatik, Data Science, Mathematik, Physik oder eines vergleichbaren Studiengangs eingeschrieben und hast noch mindestens ein Jahr Studienzeit vor dir. Du verfügst über gute Python-Kenntnisse und ein solides Verständnis der Grundlagen des Machine Learnings (z. B. Modelltraining, Evaluation und gängige Algorithmen). Welches Framework du bisher genutzt hast, ist für uns weniger entscheidend als dein grundlegendes Verständnis. Du hast bereits mit Large Language Models (LLMs) gearbeitet oder eigene Projekte umgesetzt (z. B. mit Prompting, RAG-Systemen oder Embeddings) und möchtest dieses Wissen in der Praxis weiter vertiefen.