Remote Dev Jobs
11 jobs available
Track it ForwardRemote1w ago
Headquarters: Oakland, CA URL: https://www.trackitforward.com We are looking for a lead developer to do a greenfield rebuild of our legacy SaaS app, modernize our mobile apps, and lead the tech effort to scale our app. You will help choose the language, build the technical foundation, work with our product manager to rebuild the app, and migrate all customers over. About Track it Forward Track it Forward is the leading volunteer time-tracking application for nonprofits and schools. For 15 years, we’ve helped thousands of organizations mobilize volunteers and track over 30 million hours. We are a profitable, bootstrapped team of 4 focused on great work-life balance, high-impact work, and a fun, puzzle-loving culture (daily crosswords, monthly virtual escape rooms, and annual retreats). We are not a VC-funded startup. We grew organically, stayed profitable, and prioritize high-quality work and personal fulfillment without growth-at-all-costs pressure. The team is led by the original founder and developer. The Modernization Strategy This is a structured, phased "small bang" migration—not a high-risk cutover or a strangler-fig migration. You will build a parallel greenfield system, extract legacy components step-by-step, and migrate customers over incrementally tenant-by-tenant while keeping operations running smoothly. Current Tech : Drupal 6 architecture hosted on Pantheon, paired with two Ionic/Capacitor mobile apps. Your Scope: Complete ownership of the technical architecture. You will partner with our product manager, establish engineering processes, and lead the rebuild from scratch. Modern AI practices : We want you to be on the cusp of AI workflows while also balancing human guardrails to produce quality code. Team Structure: You will be our sole developer in the short term, taking full technical helm as we scale. Target Stack & Responsibilities Core Tech Stack: Core backend/frontend rebuild focused on Python/Django, Laravel, or React. You will make the final ar
Stellent IT LLC · 🇺🇸 United StatesRemote3w ago
AMISYS Data Engineer Location: Remote Overview: The client is transitioning from AMISYS to QNXT and is seeking a Data Engineer with strong AMISYS experience within a healthcare payer environment. Need Strong AMISYS knowledge, legacy data structures, extracts/interfaces, SQL, production support, troubleshooting, maintaining feeds during migration Pre-Qualification Questions Do you have hands-on experience working with AMISYS data structures, extracts, interfaces, or production data feeds within …
Kestra Technologies · EuropeRemote57y ago
About Kestra Kestra is the universal orchestration platform: open source, declarative, and designed to orchestrate data pipelines, IT automation, business workflows, and AI/agentic systems. Trusted by over 10,000 organizations worldwide, including JPMorgan Chase, Bloomberg, FILA, and Crédit Agricole, Kestra orchestrates mission critical workloads at scale. The open source project has close to 30,000 GitHub stars, hundreds of contributors, and a rapidly growing global community. In March 2026, we closed a $25M Series A led by RTP Global, with participation from Alven, ISAI, and Axeleo, backed by founders from Datadog, dbt Labs, and Hugging Face. The Role We're looking for a QA Engineer based in India or Europe to ensure the quality and reliability of Kestra's platform across both the open source and Enterprise editions. A key part of this role involves working directly with customer support tickets: understanding reported issues, reproducing them in local or staging environments, and verifying fixes before they ship. You'll be the bridge between what customers experience and what the engineering team delivers. This is a fully remote position. We're hiring from India and Europe for timezone alignment with the broader team. What You'll Do Review and analyze customer support tickets to understand reported issues, extract reproduction steps, and translate problems reported by customers into actionable bug reports for the engineering team. Reproduce bugs reported by customers across different environments and configurations, ensuring the engineering team has the context they need to fix issues efficiently. Design, write, and maintain test plans and test cases covering both the open source platform and Enterprise Edition features. Perform manual and exploratory testing for new features and regression testing for existing functionality across each release cycle. Collaborate with engineers to define acceptance criteria, identify edge cases, and validate fixes before release.
Eraneos · 🇩🇪 Hamburg, GermanyRemote57y ago
What you can expect from us We’re a high‑energy cloud- and data engineering team looking for like-minded, motivated tech builders. We are driven by ownership and business outcomes. As the analytics unit within a global management consultancy, we turn data-driven strategies into production systems. Our clients are DAX and Fortune Global 500 leaders who trust us for our expertise across data platforms, big data and cloud engineering. You’ll join an international environment with agile squads and a boutique spirit with room to experiment and grow, paired with above‑market compensation and an attractive benefits package. What you’ll do as part of our cloud- and data engineering team: Take ownership for projects end to end: From scoping to stakeholder alignment and the delivery of measurable outcomes Design data architectures for batch and streaming workloads, both at small and big data scales Provision and manage the underlying cloud infrastructure to support those architectures on providers such as AWS, Azure or GCP Building Python ETL/ELT pipelines, orchestrated with Airflow, Dagster , or Prefect. Work with data lake technologies and optimize (OLAP) data ware-/ lakehouses Model and store data across SQL and NoSQL databases, as well as optimizing performance and costs Create web APIs with popular Python frameworks (e.g., FastAPI and Flask) and describe them using standards like OpenAPI /Swagger Automate deployments using Infrastructure-as-Code and container technologies such as Docker, Kubernetes or OpenShift Who you are A passionate data engineer who loves being at the forefront of modern, AI-driven technology, but also cares about the engineering craftmanship. Relevant hands-on experience with a cloud hyperscaler (preferably AWS, Azure or GCP). Preferably experience building production-grade software. Python development with idiomatic and well-tested code. Skilled in performance tuning and optimization of relational databases (e.g., through indexing, sharding or part
Certivity · 🇩🇪 Munich, GermanyRemote57y ago
About the Job At Certivity, we are looking for a Senior Software Engineer (m/f/d) to join our Data team. You will design and build the services that extract structured data from regulatory documents, and the tooling that verifies this data is correct once it's in our systems. This is a chance to work on complex engineering challenges with massive real-world impact. You will work alongside a sharp, collaborative team and ship production systems end-to-end. If you are comfortable pairing with AI tools to write code and want to build systems that ingest, verify, and deliver data at scale, this role might be the right one for you. What you will do Build and scale services that extract structured data from regulatory documents. Design and maintain tooling to ensure data correctness across ingestion pipelines. Deploy and operate containerized apps in cloud environments (AWS, Azure, or GCP). Pair with AI coding tools as part of your regular development workflow. Contribute to technical architecture and help shape the engineering culture. Your profile 5+ years of professional software development experience. Strong skills in Python. "AI-native": comfortable and effective pairing with AI tools to write code. Hands-on experience with data extraction at scale. Senior-level experience with at least one major cloud provider (AWS, Google Cloud, or Azure). Proficiency with Git, CLI tools, and containerized deployments (Docker). Clear communicator who thrives in a collaborative, fast-paced environment. Comfortable working hybrid in our Munich office. Nice to Have: Experience with regulatory or compliance data. Experience with ML pipelines or Large Language Models (LLMs). Full-stack skills (React, Angular, or Vue). Why us? A vibrant in-office culture in Munich with the option for up to 60 % work from home. Flexible working hours. 30 vacation days per year (including 4 “company rest days” over christmas). 30 days of "workation" per year, within the EU and selected countries. High aut
PREMATCH Sports GmbH · 🇩🇪 Cologne, GermanyRemote57y ago
Hey! Imagine amateur football finally had the platform it deserves. Every weekend, millions of people write their own personal football stories – on pitches, in clubs and on the sidelines. We believe this passion deserves a digital home too. That's exactly what we're building every single day. Main information Start: Immediately Location: Cologne, Berlin London or Remote Workload: Full-time Team: Teamwear/Tech Is this a match? The most important basics – so we both know if it could work. 100% remote: This role is generally available 100% remote within the EU or UK. If you'd still love to work from one of our offices in Cologne, Berlin or London - you're more than welcome. Experience: You bring 6-8 years of experience in software engineering and data engineering. Languages: You speak English fluently - German is a big plus. Startup spirit: You'd rather shape things than just tick boxes - even when that means figuring stuff out without a finished roadmap. Your playing field Here's why this role matters for our mission. Teamwear is one of our three company headlines, but technically it currently depends on one person. As long as this remains the case, the area cannot scale beyond its current scope. Your goal: To enable Teamwear to scale beyond its current scope. How you'll make a difference This is how you move our mission forward every day. Data Pipelines: You build and maintain data pipelines for automated data collection, structured so that new sources and markets can be added quickly. Algorithms: You develop algorithms to extract relevant information from websites and images. Data Quality: You ensure data quality through validation, confidence levels, monitoring, and clean handovers internally and to partners. Data Infrastructure: You manage and further develop the data infrastructure of the Teamwear area. Technical Point of Contact: You act as the second technical point of contact for the Teamwear area. In addition to your core responsibilities, you will also: Int
Recare Deutschland GmbH · JobRemote57y ago
About Recare As one of the leading German HealthTech companies, we are reshaping discharge management – technology-driven, patient-centered, and free from bureaucracy. In addition to our market-leading SaaS platform, we develop AI solutions that radically simplify processes in hospitals and for aftercare providers, relieve healthcare professionals, and refocus attention on patients. Today, we already connect two-thirds of all German hospitals with over 650 rehabilitation clinics and 25,000 nursing and homecare providers. With currently around 100 employees, we continue to grow – and we are looking for people with character who want to help us improve the healthcare system and solve administrative complexity across care journeys in Europe. What to expect as our Senior AI Data Platform Engineer (m/w/d): Purposeful work – your role will have a positive impact on patients, their families, and healthcare professionals. Company culture – we believe in flat hierarchies that promote high performance and strong team dynamics. We foster an environment characterized by mutual respect, loyalty, and recognition. Together, we strive for our goals – and expect the same from you. Flexibility – want to pick up your child from daycare? Like to exercise during lunch? We’ll support you. We are a remote-friendly company offering flexible working hours. Workations are also possible by arrangement. Edenred card – which you can use according to your needs. Extra vacation day – so you can celebrate your birthday with your loved ones, you’ll have the day off. In this role, you can make an impact and grow with us as Senior AI Data Platform Engineer (m/w/d): You will own and evolve the data backbone that powers Recare’s AI products (Voice, Extract & Docs, Agent) and the shared platform primitives that agentic systems depend on. Your work ensures that data ingestion, processing, and serving are reliable, secure, and production-ready - forming the foundation for scalable AI systems in healthcare
Nucs AI · 🇩🇪 Berlin, GermanyRemote57y ago
About Nucs AI Nucs AI is revolutionizing cancer care through cutting-edge AI and medical imaging technology. Founded in 2024 by a multidisciplinary team of oncologists, AI researchers, and healthcare innovators, we’re tackling one of medicine’s most pressing challenges: the growing demand for accurate, timely cancer diagnostics in the face of rising scan volumes and limited radiologist capacity. We sit at the intersection of diagnostics and treatment planning - building AI-powered tools at the convergence of medical imaging, radioligand therapy, and artificial intelligence. Starting with prostate cancer and expanding across oncology, we partner with world-leading medical institutions and pharmaceutical companies across the US, Europe, and Australia to bring precision oncology into everyday clinical practice. Our mission is to enhance diagnostic precision and expand access to expert-level cancer care, improving patient outcomes worldwide. We’re venture-backed, early-stage, and building a team that blends deep clinical expertise with engineering intensity - moving with the rigor the medical field demands and the speed the problem deserves. What you'll do Build auditable data pipelines for large clinical, diagnostic, and medical imaging datasets in the cloud. Own statistical analysis across clinical studies, diagnostic performance, model evaluation, and data quality. Apply classical machine learning and deep learning methods to data analysis problems. Use LLM-based methods to extract structured data from clinical documents and reports. Build dashboards and data observability tooling. Investigate and document missing, inconsistent, invalid, and implausible data. Maintain strong data lineage, provenance, traceability, and reproducibility across data workflows. Produce analyses and supporting evidence that hold up in regulatory submissions and audits. What we're looking for 3+ years of relevant full-time experience in data science, data engineering, medical AI, medical im
Jobrad Loop · 🇩🇪 Munich, GermanyRemote57y ago
Lust auf eine besondere Herausforderung? Du möchtest als Senior Data Engineer nicht bei null anfangen, sondern eine bestehende Data Platform gezielt weiterentwickeln und nachhaltig prägen? Bei uns ist Data mehr als ein Trend – wir machen Daten zu einem echten Erfolgsfaktor. Unsere Datenlandschaft bildet bereits eine starke Grundlage, die wir gemeinsam mit dir technologisch weiterentwickeln und skalieren möchten. Mit deiner Expertise entwickelst du moderne Data Pipelines , skalierbare Data Architekturen und leistungsfähige Lösungen auf Basis von Snowflake . Als Senior setzt du fachliche Impulse, übernimmst eine Mentor:innenrolle und unterstützt dein Team dabei, gemeinsam die nächste Stufe im Data Engineering zu erreichen. Let's ride together! Was du brauchst, um erfolgreich zu sein Fundierte Erfahrung: Du verfügst über mehrjährige Berufserfahrung (mind. 5-7 Jahre) im Data Engineering und hast bereits komplexe Datenplattformen sowie skalierbare Datenlösungen erfolgreich umgesetzt Snowflake-Expertise: Du bringst fundierte Praxiserfahrung mit Snowflake mit und verfügst über ein gutes Verständnis moderner Datenarchitekturen, Performance-Optimierung und Best Practices Technisches Know-how: Du beherrschst SQL und Python sicher und hast idealerweise Erfahrung mit Tools wie dbt , Apache Airflow oder Dagster sowie Cloud-Technologien, vorzugsweise Azure Data-Engineering-Kompetenz: Du kennst dich mit dem Aufbau und Betrieb von ETL-/ELT-Pipelines , Datenmodellierung sowie Data Warehouses und Data Lakes aus Architektur & Qualität: Du verfügst über ein gutes Verständnis für skalierbare Datenarchitekturen und legst Wert auf stabile, performante und wartbare Lösungen Seniorität & Zusammenarbeit: Du überzeugst durch Eigenverantwortung, technisches Urteilsvermögen und die Fähigkeit, dein Wissen als fachliche:r Sparringspartner:in weiterzugeben Kommunikation: Du kommunizierst sicher auf Deutsch und verfügst über gute Englischkenntnisse Dein Beitrag zu unserer Erfolgsgeschichte Unsere D
TailscaleRemote57y ago
<div class="content-intro"><p><strong>About Tailscale </strong></p> <p>Tailscale is building the new Internet by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital.</p></div><h3><span style="font-size: 12pt;"><strong>About the Role</strong></span></h3> <p>We’re seeking a skilled and diligent full-time Software Engineer to join our growing team. You will work as part of the engineering team to:</p> <ul> <li>Support and enable internal business units through shared engineering services and functionalities, building the tools and processes for those teams to succeed.</li> <li>Build relationships with multiple stakeholders across the organization to understand and meet their needs with projects you'll own end to end.</li> <li>Work directly with internal customer facing teams to empower their mission and take pride in making their day-to-day lives easier. Work with product engineering to extract the data needed to drive business decisions.</li> <li>Example deliverables in this role might include:</li> <ul> <li>Improve observability through metrics, alerting, logging and telemetry integration</li> <li>Identify and build improvements for Continuous Deployment</li> <li>Utilize infrastructure as code to make changes in a cloud environment</li> <li>Collaborate with other engineering teams to build cross functional infrastructure improvements</li> <li>Automate upgrades for managed services and VMs.</li> </ul> </ul> <p>Because we’re an early-stage and fully-remote company, we’re looking for a strongly motivated individual who can help move the product forward. The
Eraneos · 🇩🇪 Hamburg, GermanyRemote57y ago
Das findest Du bei uns Wir sind ein technisches, umsetzungsorientiertes Spin-Off einer global agierenden Managementberatung. Zu unseren Kunden gehören primär DAX und Fortune Global 500 Unternehmen, die wir zu Fragen in den Bereichen Analytics, Big Data und Machine Learning beraten. Wir übernehmen in der Gruppe die Entwicklung von individuellen und datengetriebenen Lösungen, um so unsere Kunden in KI-gestützte Unternehmen zu transformieren. Wir bieten ein internationales Arbeitsumfeld mit agilen Teams und kreativen Startup-Methoden sowie eine überdurchschnittliche Vergütung und zahlreiche Zusatzleistungen. Mit unserem HQ in Hamburg und weiteren Büros in München und Düsseldorf sowie unseren Hub-Standorten in allen weiteren deutschen Großstädten (Berlin, Köln, Frankfurt und Stuttgart) stellen wir sicher, dass alle Kollegen deutschlandweit in unser Expertenteam eingebunden sind. Deine Rolle als Senior Manager in Data Analytics: Du entwickelst moderne Analytics-Plattformen. Du entwickelst gemeinsam mit unseren Kunden moderne Analytics- und Datenplattformen als Grundlage für Reporting, Self-Service Analytics und AI. Du konzipierst skalierbare Datenarchitekturen sowie analytische Datenmodelle und sorgst für eine nachhaltige Data Governance. Du begleitest Kunden bei der Modernisierung ihrer Data Warehouses und Data Lakehouses sowie beim Aufbau cloudbasierter Datenplattformen. Du etablierst Best Practices für Analytics Engineering, Datenqualität, Automatisierung und DataOps. Du verbindest Business und Daten. Du analysierst fachliche Anforderungen und übersetzt diese in skalierbare Datenmodelle und Analytics-Lösungen. Du verbindest Management, Fachbereiche und Engineering-Teams und schaffst ein gemeinsames Verständnis für datengetriebene Lösungen. Du entwickelst gemeinsam mit unseren Kunden Datenstrategien und identifizierst Potenziale für Analytics und Artificial Intelligence. Du führst anspruchsvolle Transformationsprojekte. Du verantwortest die erfolgreiche Umsetzung kompl