Remote Dev Jobs
58 jobs available
Corevia Staffing · 🇺🇸 United StatesRemote1w ago
Job Description As a Senior Data Engineer, you will work with the team to build complex data pipelines using a new cutting-edge Data Ingestion Platform as well as several new and exciting products in the Big Data/Advanced Analytics space. You will operate in a fast-paced environment where multiple project deliverables are coordinated within specified deadlines. The primary responsibility of this role is to deliver accurate and timely data across various products to enable revenue for the compan…
Morgan McKinley · 🇬🇧 United KingdomRemote3w ago
Software & Control Systems Engineer - Contract - Outside IR35 - Bucks/Remote I am currently supporting a client of mine to seek a software & control systems engineer to join the business on an initial 6 month contract, with the opportunity for the position to be extended beyond this. The company are an industry leader in safety critical electrification applications and have just won a big project, on which they require the support. Job R...
SurRemote3w ago
Headquarters: Mexico City, Mexico City, Mexico As the Full-stack Developer you will help lead the charge of the mission to turn big ideas into blazing realities. In this role, you won’t just write code, you’ll shape dreams, building custom apps that delight clients and advancing the AI tools that power magic. We’re searching for a curious learner, a bold challenger, and a collaborative spirit. Responsibilities: Designing and implementing AI internal tools to supercharge our processes and take the quality of our projects to new heights. Creating and maintaining REST APIs written in Python, Django, and Django Rest Framework Building and maintaining components in JavaScript and NextJS / React. Writing and maintaining unit and integration tests to ensure the quality of deliverables that turn clients into superfans. Implementing secure, robust, scalable, and maintainable solutions. Collaborating with Product, other developers, and teams to meet challenging goals. Contributing to the company's culture and vision. C1 English or equivalent 3+ years of experience developing applications with React; experience with NextJS is a plus. 3+ years of experience developing backend applications with Python; ideally using Django Rest. Hands-on experience with Docker, Docker Compose, and infrastructure as code solutions like Terraform. Hands-on experience with cloud services; ideally with AWS. Hands-on experience creating and maintaining unit and integration tests. Hands-on experience with Git and GitHub to contribute effectively to our projects. A curious mindset with a passion for learning and using new technologies. Natural leadership skills and a drive to win and learn quickly, both as an individual and as part of a team. Preferred Qualifications Experience working with high-growth startups. Experience building products using LLMs or LLM-based agents. Ideally using Langchain. Experience training AI models: building, cleaning datasets, setting up training pipelines, and evaluation b
General Mills · 🇺🇸 United StatesRemote3w ago
COMPANY OVERVIEW We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next. &xa; JOB OV…
Innovative IT Solutions Inc · 🇺🇸 United StatesRemote1mo ago
Key Skills: Strong Java, Spring Boot, and Microservices experience Strong React and modern UI development Hands-on Python development Experience with Hadoop / Big Data Strong Node.js experience Experience with Drools / Business Rules Engine Strong experience with AI/GenAI tools and AI-driven development Hands-on experience with tools such as Claude Code, GitHub Copilot , or similar AI coding/development platforms Experience integrating AI capabilities into enterprise applications is highly pref…
Contract Staffing Recruiters · 🇺🇸 United StatesRemote1mo ago
The Opportunity: We are seeking a full stack engineer/developer with experience in projects emphasizing big data and application monitoring and development. This person will ensure the continued performance, reliability, and availability of two critical applications, which are essential to our client’s supply chain and planning operations. These Full Stack Engineers will support activities that minimize disruptions, maintain stable daily operations, and deliver approved fixes or enhancements as…
Creative Force · 🌍 WorldwideRemote1mo ago
We’re on the hunt for a sharp, self-driven SaaS pro who’s as comfortable troubleshooting API and integrations as they are navigating human conversations. Our European client base is growing fast and we need someone who can keep up. Our software isn’t your average plug-and-play; it has a steep learning curve so you’ll need to be technically savvy while also being the kind of person clients genuinely enjoy talking to. If you’ve got SaaS in your DNA, thrive in async/remote environments, and can juggle multiple threads without breaking a sweat — keep reading. The role You’ll join a lean, high-performing global support team working across two SaaS products, Award Force and Good Grants. Day to day you’ll be communicating with colleagues and clients across countries, cultures, and time zones. Support happens across email tickets, phone, and 1-1 Zoom calls. Once you’ve leveled up on product knowledge, you’ll run onboarding sessions and client meetings covering issue resolution, best practices, and product adoption. You’ll also be hands-on with bug testing and reporting, feeding considered feedback to our product teams— always pushing to make our products better. We have a startup mindset. We experiment with new tools, iterate on processes, and move fast. Got a great idea? Pitch it. We’re not big on bureaucracy, only results. We don’t expect you to be a slave to your chair but flexibility is a must. You’ll need to tick these boxes You’re based in the UTC +1 or +2 timezone range. This is non-negotiable. Our European team and clients operate in this window and we don’t allow shift work. If you live outside this range, this one’s not for you 2+ years of professional experience, ideally in a SaaS support or client-facing role Native-level English fluency (bilingual? Even better!) Terms like HTML, CSS, JS, API, integrations, dev console, staging & production environments, GitHub repos, and database queries don’t make you flinch. You don’t need to write code, but you need to get i
AzumoRemote1mo ago
Headquarters: Buenos Aires, Argentina URL: http://azumo.com Description Azumo is currently looking for a highly motivated Big Data Engineer to develop and enhance data and analytics infrastructure. The position is FULLY REMOTE based in Latin America . This role will focus on building scalable, reliable, and governed data systems that power analytics, live operations, player insights, publishing intelligence, and business decision-making across gaming ecosystem. The ideal candidate has strong hands-on experience with Databricks , DBT , AWS , scalable ETL pipelines, data governance, and modern analytics engineering practices. Experience supporting gaming, telemetry, live operations, or high-scale analytics environments is strongly preferred. Requirements The Data Engineer will be based remotely. Compensation commensurate with experience and candidate potential. Responsibilities: Design, build, and maintain scalable ETL/ELT pipelines using Databricks and AWS Improve ingestion pipeline quality, reliability, scalability, and governance Develop and optimize core data models and foundational data tables Build analytics-ready datasets to support player insights, publishing analytics, esports analytics, and operational reporting Implement data governance, data quality, lineage, and observability practices Collaborate with product, analytics, engineering, and business stakeholders to support data-driven decision-making Optimize large-scale data processing workflows for performance and cost efficiency Support centralized player data models, viewer analytics, publishing activity systems, and operational metrics Contribute to the unification of fragmented data ecosystems across multiple game teams and organizations Build and maintain reliable orchestration workflows and scheduling systems Participate in architectural discussions around scalability, governance, and data platform modernization Required Skills: Strong experience with Databricks Strong SQL and Python programming exp
AzumoRemote1mo ago
Headquarters: Buenos Aires, Argentina URL: http://azumo.com Description Azumo is currently looking for a highly motivated Big Data Engineer to develop and enhance data and analytics infrastructure. The position is FULLY REMOTE based in Latin America . This position will give you the opportunity to collaborate with a growing team and bright engineering minds in big data computing. You will enjoy the role if you love designing and developing scalable, high performant big data infrastructure using Spark, Kafka, Snowflake or any similar frameworks , both on premise and in the cloud. Experience in building data pipelines, data services, data warehouses, BI and ML platforms is what we are looking for. At Azumo we strive for excellence and strongly believe in professional and personal growth. We want each individual to be successful and pledge to help each achieve their goals while at Azumo and beyond. Challenging ourselves and learning new technologies is at the core of what we do. We believe in giving back to our community and will volunteer our time to philanthropy, open source initiatives and sharing our knowledge. Requirements The Data Engineer will be based remotely. Compensation commensurate with experience and candidate potential. Basic Qualifications: BS or Master’s degree in Computer Science, related degree, or equivalent experience 5+ years experience with data-related and data management responsibilities Deep expertise in designing and building data warehouses and big data analytics systems Practical experience manipulating, analyzing and visualizing data Self-driven and motivated, with a strong work ethic and a passion for problem solving Professional English proficiency (B2/C1) Preferred Qualifications: Experience with cloud-based managed services like Airflow, Glue, Elastic stack, Amazon Redshift, Snowflake, BigQuery, Azure SQL Db, EMR, Azure, Databricks, Altiscale or Qubole Prior experience with notebooks using Jupyter, Google Collab, or similar. Benefits C
MixRank · 🇺🇸 United StatesRemote1mo ago
A data processing company is seeking a Generalist Software Engineer to join their fully remote team. The role involves developing web applications and working on data mining and machine learning projects. Ideal candidates will have skills in Python, PostgreSQL, and a passion for technology. The company offers a supportive environment for growth and challenge, dealing with large-scale data processing tasks. J-18808-Ljbffr
SuperPlaneRemote1mo ago
Headquarters: USA URL: https://superplane.com We are hiring a product engineer to join SuperPlane and own meaningful projects end to end. This is a remote role. We currently work across GMT+2 to GMT-3 and welcome candidates in that range. At SuperPlane, we don't split engineering into frontend and backend. Everyone is a well-rounded builder who moves across the stack, makes product and technical calls, asks for help when needed, and delivers features from start to finish. You might spend one day building an API endpoint or workflow engine improvement, and the next day polishing a React surface that users touch every day. We're looking for someone at a mid-level to senior level: you've shipped real products, you can work independently, and you're ready to grow fast in a high-trust, high-pace environment. You don't need to have done everything before, but you need to learn quickly and take ownership of what you build. What We Are Looking For You are genuinely full-stack. Your workflow is AI-driven and you know how to stay fast without getting sloppy. You have strong backend experience in a systems-oriented language. While we use Go, we don't expect you to be an expert already, just to ramp up fast. You have solid systems judgment. APIs, data models, reliability, and trade-offs matter to you. You're comfortable with TypeScript and React -- the modern frontend stack. You are comfortable with cloud-native tooling and modern software delivery. You want ownership, not a narrow lane. You want an early-stage company where the pace is high, the standards are high, and the upside is big. How To Apply We care more about proof of work than polished applications, and we want to see how you show up in open source. Before you apply, submit at least one pull request to superplanehq/superplane. It can be small and it does not need to be merged. When you apply, send your GitHub username and a link to your pull request. We verify both, and applications missing either field will not mov
Contract Staffing Recruiters · 🇺🇸 United StatesRemote1mo ago
The Opportunity: We are seeking a full stack engineer/developer with experience in projects emphasizing big data and application monitoring and development. This person will ensure the continued performance, reliability, and availability of two critical applications, which are essential to our client’s supply chain and planning operations. These Full Stack Engineers will support activities that minimize disruptions, maintain stable daily operations, and deliver approved fixes or enhancements as…
A.Team · 🌍 WorldwideRemote2mo ago
You must be located in the Americas, Europe, or Israel to apply. A·Team is a VC-backed, stealth, application-only home on the internet for senior independent software builders to team up with hand-picked, high-growth companies on their next big thing. After talking with hundreds of independent engineers, designers, and product folks, we heard over and over that finding vetted, high-quality, consistent clients is hard, and projects are often too small to be rewarding. A·Team matches small teams of the most talented builders in the world with companies backed by a16z, YC, Softbank, General Catalyst, etc. on a contract basis for many of their most important initiatives. We quietly launched in May 2020, and have helped A·Teamers earn $85+ million since. As part of A·Team, you can expect: High-paying, meaningful missions with the most audacious companies sent your way; generally $90-$150+/hr, with vetted, fascinating clients doing work that matters. We're picky about who we partner with; new clients only come in via trusted referral. We've worked with Lyft, McGraw Hill, ClearCo, Pepsi, Walmart, the former CEO of Waze, the leading vaccine production software, several new unicorns we can't say here, and dozens of startups backed by a16z/YC/Softbank/Insight/Tiger/etc. Work alongside friends old & new: our niche is small/diverse product teams, since clients with larger budgets and higher-impact work tell us they want teams, not individuals. Of course, we keep friends together whenever we can. Full autonomy: say "no" to things that don't excite you. The most talented builders often juggle a few things at once, so there's never pressure to join an A·Team mission if you don't have the bandwidth. If we're no longer a fit, it's easy to leave or pause too. Small, curated, off-the-record gatherings: for conversations hard to have elsewhere. Long-term, we're creating micro-communities for the world's top builders to become friends around the things they care about. Keep 100% of what
inPowered · 🇺🇸 United StatesRemote7mo ago
The Role We are seeking a brilliant engineer to help accelerate the build out of our client-facing content marketing platform. The candidate will be working closely with our teams to design and implement new systems, maintain operations of the production systems and to coordinate work across all the initiatives of the Engineering team. The candidate will operate in a distributed architecture building the infrastructure to manage Big Data and solve complex algorithmic problems. Will deliver init…
Kestra Technologies · EuropeRemote57y ago
About Kestra At Kestra, we’re on a mission to make orchestration and automation simpler for everyone. Our open-source platform helps teams manage complex workflows with confidence, and we’re already making a big impact in businesses around the world. Now, we’re looking for a Full Stack Engineer to help us take things to the next level. 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. About the role Kestra orchestrates workflows across systems and domains. AI agents and LLM-driven workflows are a growing part of that, and this role is about making sure they can run reliably inside the orchestrator. This is not a wrapper around a model API, but a platform orchestrating how agent steps should be run, retried, branched, and kept observable inside the orchestrator. That work happens in the Kestra core, which is Java. What you would do Design and build the execution primitives for AI workflows in the Kestra engine Build and maintain the plugins that connect Kestra to LLM providers and agent frameworks Turn real agent use cases into reusable blueprints, together with the product team Keep AI executions observable and debuggable to the same standard as the rest of Kestra What we are looking for A strong Java background. You have built and maintained production Java systems, not used Java in passing. Hands-on experience with LangChain4j or a comparable Java agent framework A clear mental model of how agentic systems are actually run: tool calls, state, retries, failure modes Comfort working close to an orchestration engine, where correctness and reliability matter more than demos Our Tech Stack Backend : Java, Micronaut Frontend : Vue.js, Bootstrap Datastore : Kafka, Elasticsearch, PostgreSQL, MySQL Infrastructure : Docker, Kubernetes, Terraform Cloud : GCP, AWS, Azure Tools : GitHub for repo management, actions, and issues We work with a variety of moder
Lendable · 🇬🇧 London, United KingdomRemote57y ago
About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: One of the UK’s newest unicorns with a team of just over 700 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot ) So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance . We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the Role As a Data Platform Engineer, you'll work alongside senior team members to tackle complex challenges, while taking ownership of your own areas of the problem, in a fast-paced environment where no two days look the same. The role is fundamentally about problem solving: understanding business challenges, breaking them down, and delivering pragmatic, scalable solutions. You’ll work closely with product, analytics, and engineering teams, operating with a high degree of autonomy. That means proactively gathering context, aligning stakeholders, and ensuring work lands effectively. Data Platform sits at the centre of the b
Lendable · 🇬🇧 London, United KingdomRemote57y ago
About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: One of the UK’s newest unicorns with a team of just over 700 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot ) So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance . We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting We’re looking for a full-stack Python engineer to join our Central Operations team. Central Ops sits across our core products (Cards, Loans and Motor), focusing on shared operational challenges and opportunities. We build a mix of internally facing web applications and robust automations to help our Operations teams deliver great outcomes for customers, efficiently and at scale. It’s a broad space: Operations makes up roughly half of our employee headcount and covers everything from day-to-day customer support up to complex areas like Fraud and Fincrime prevention. As our customer base grows rapidly, our role is to help ops keep
Lendable · 🇬🇧 London, United KingdomRemote57y ago
About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: One of the UK’s newest unicorns with a team of just over 700 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot ) So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance . We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting We’re looking for a full-stack Python engineer to join our Central Operations team. Central Ops sits across our core products (Cards, Loans and Motor), focusing on shared operational challenges and opportunities. We build a mix of internally facing web applications and robust automations to help our Operations teams deliver great outcomes for customers, efficiently and at scale. It’s a broad space: Operations makes up roughly half of our employee headcount and covers everything from day-to-day customer support up to complex areas like Fraud and Fincrime prevention. As our customer base grows rapidly, our role is to help ops keep
Eraneos · 🇩🇪 Hamburg, GermanyRemote57y ago
What you can expect from us We are a technical, implementation-oriented spin-off of a global management consultancy. Our clients are primarily DAX and Fortune Global 500 companies, which we advise on issues in the areas of analytics, big data and machine learning. Within the group, we take on the development of individual and data-driven solutions in order to transform our clients into AI-powered companies. We offer an international working environment with agile teams and creative startup methods as well as above-average remuneration and numerous additional benefits. With our offices in Hamburg, Munich and Düsseldorf and our hub locations in all other major German cities (Berlin, Frankfurt and Stuttgart), we ensure that all colleagues are integrated into our team of experts across Germany. Your role as a Senior GenAI Solution Engineer: End-to-End Development: You drive AI solutions across the full lifecycle - from rapid prototyping and proof-of-concept to deployment in scalable, highly available production environments. AI Services Engineering: You build robust backend services in Python that seamlessly integrate state-of-the-art LLMs and perform reliably under production load. Autonomous Agent Architecture: You design and implement intelligent agent systems that automate real-world workflows through tool calling and memory management, operating safely within defined guardrails. Agentic SDLC: You integrate AI agents into the development lifecycle - from AI-assisted coding and code reviews to automated testing and intelligent documentation - enhancing efficiency across the entire software development process through agentic tools. Ensuring Software Excellence: You take ownership of code quality by applying clean architecture principles, implementing automated testing, and establishing efficient CI/CD pipelines to ensure smooth and reliable deployments. Evaluation & Monitoring: You implement frameworks to measure the performance of GenAI solutions (e.g., accuracy, la