Remote Dev Jobs
12 jobs available
Freddie Mac · 🇺🇸 United StatesRemote6d ago
At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Are you a Platform Engineer with extensive Unix Administration acumen? Do you know what the correct technical infrastructure is for a high velocity agile and business focused organization? Have you successfully delivered the right foundation and platform that software development community thrives on? If you’ve designed, provisioned, and managed run-time platforms, or fully automa…
Sidekick Network GmbH & Co. KG · 🇩🇪 Bonn, GermanyRemote57y ago
For a long-term cloud infrastructure project, we are looking for an experienced Senior Go / Kubernetes Developer to support the further development of a distributed multi-provider cloud and edge platform. You will work in an international engineering environment and contribute primarily to the development of Kubernetes-native infrastructure automation using Go . Start: asap Duration: 12+ months Capacity: 100% Location: Remote Preferred setup: Nearshore / Europe-compatible Language: English; German beneficial Contract: Freelance Tasks Design and develop Kubernetes Operators and Controllers in Go Develop cloud-native backend services and Kubernetes-native APIs Design and implement Custom Resource Definitions (CRDs) and reconciliation logic Automate provisioning and lifecycle management of cloud, edge and bare-metal infrastructure Integrate infrastructure, networking and platform components via Kubernetes APIs Develop and maintain automated unit and integration tests Analyze, troubleshoot and improve Go applications and Kubernetes controllers Contribute to technical architecture, code reviews and engineering standards Collaborate with infrastructure, networking, security and AI/ML specialists Requirements Several years of professional software development experience with strong hands-on Go / Golang expertise Proven experience developing Kubernetes Operators and/or Custom Controllers in Go Strong practical knowledge of the Kubernetes API, CRDs and reconciliation patterns Experience with common Kubernetes development frameworks such as controller-runtime, client-go, Kubebuilder or Operator SDK Good understanding of Go concurrency, APIs, testing and backend/service development Experience developing and operating containerized applications Good understanding of cloud-native and distributed infrastructure Familiarity with infrastructure topics such as compute, networking, storage and automated provisioning Find more English Speaking Jobs in Germany on Arbeitnow
jetbrains · 🇩🇪 Berlin, GermanyRemote57y ago
<p>At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.</p> <p>We're now looking for a Senior Graphics/JVM Software Engineer with in-depth knowledge of modern hardware-accelerated APIs to join the JetBrains Runtime (JBR) team. Based on the LTS versions of OpenJDK, JBR is the low-level part of the IntelliJ Platform, the foundation for many JetBrains development tools, including IntelliJ IDEA. </p> <p>We work on improving IntelliJ-based IDEs by developing new features (such as the Java Chromium Embedded Framework), participating in OpenJDK projects (like <a href="https://openjdk.org/projects/lanai">Lanai</a> and <a href="https://openjdk.org/projects/wakefield">Wakefield</a>), and fixing JBR issues, most of which are targeted for upstreaming to OpenJDK.</p> <h3>In this role, you will:</h3> <ul> <li>Help ensure our IDEs look slick and run fast by providing low-level support for UI frameworks like Swing and Compose for desktop.</li> </ul> <h3>We’ll be happy to have you on our team if you have:</h3> <ul> <li>4+ years of C or C++ programming experience.</li> <li>Solid knowledge of Java and JVM internals</li> <li>A deep understanding of OOP.</li> <li>Multithreaded programming experience.</li> <li>Familiarity with system or UI application development on Unix, Windows, or macOS (using Cocoa, GNOME, Win32 API, etc.).</li> <li>In-depth knowledge of modern hardware-accelerated APIs, such as Metal, Vulkan, OpenGL, or D3D.</li> <li>The ability to optimize and refactor code, both yours and that of others.</li> <li>A responsible, independent, and disciplined approach to your work.</li> <li>Good teamwork skills.</li> </ul> <h3>We’d be especially thrilled if you:</h3> <ul> <li>Know other programming languages, like Objective-C or Kotlin.</li> <li>Are familiar wit
Datadog · RemoteRemote57y ago
<p>This role is part of Datadog’s Security Agent team, which powers critical security capabilities across Workload Protection, Vulnerability Management, Cloud Security products, and other emerging security offerings. As a Staff Software Engineer, you will lead the design and development of low-level Linux instrumentation and runtime security technologies that help customers detect threats, monitor system activity, and protect cloud-native workloads at scale. You will work on complex technical challenges involving eBPF, Linux kernel internals, performance-sensitive systems, and large-scale data collection while influencing technical direction across multiple product teams. This role offers significant ownership, broad organizational impact, and the opportunity to shape the future of Datadog’s security platform.</p> <p>At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.</p> <p><strong>What You’ll Do:</strong></p> <ul> <li>Lead the architecture and development of security agent capabilities that power runtime threat detection and workload protection across Datadog Security products.</li> <li>Design and build reusable eBPF-based monitoring functionality for process, file, and network visibility within Linux environments.</li> <li>Drive end-to-end delivery of new features, from technical strategy and design through implementation, testing, and rollout.</li> <li>Establish and evolve testing methodologies that improve platform coverage, detection quality, reliability, and performance.</li> <li>Partner with product, security, infrastructure, and engineering teams to deliver shared platform capabilities used across multiple Datadog products.</li> <li>Provide technical leadership by influencing engineering direction, mentoring peers, and helping resolve complex cross-functional chall
Clera · remoteRemote57y ago
About the Role We are a well-funded, early-stage company building an enterprise context layer that makes AI agents reliable, accurate, and secure for critical business operations in highly regulated industries such as insurance, asset management, banking, healthcare, and logistics. Our platform automatically builds a holistic domain model across enterprise data — mapping relationships, resolving conflicts, and delivering real-time, governed context to AI agents at runtime. We're looking for a Founding Cloud Infrastructure Engineer to design, build, and own the cloud infrastructure powering our semantic platform. This is a build-from-scratch role — you won't be maintaining legacy systems. You'll be making foundational architectural decisions that shape the company for years to come. What You'll Do Design and build cloud infrastructure from the ground up to power a production-grade semantic AI platform Own the full lifecycle of infrastructure decisions — from initial architecture through deployment and scaling Make foundational cloud infrastructure choices with long-term organizational implications Establish best practices, standards, and tooling in a greenfield environment Build and maintain CI/CD pipelines and deployment automation systems Implement infrastructure monitoring, observability, and logging systems Design and manage database infrastructure across relational and NoSQL systems at scale Implement infrastructure security, networking, and access control frameworks What We're Looking For Required (Dealbreakers): 5+ years designing and operating cloud infrastructure systems in production environments Hands-on experience with infrastructure-as-code tools such as Terraform, CloudFormation, or Pulumi Proven experience architecting and managing Kubernetes clusters or container orchestration platforms in production Required Skills: Deep experience with at least one major cloud platform (AWS, GCP, or Azure) — including networking, storage, compute, and managed servic
Clera · 🇩🇪 Berlin, GermanyRemote57y ago
About the Role This is a high-ownership engineering role at a fast-growing, open-source AI engineering platform — think of it as the Datadog for LLM observability. The platform is trusted by thousands of development teams worldwide, and the SDKs you'll own are downloaded millions of times each month , often serving as the very first touchpoint a developer has with the product. The SDKs run in production environments ranging from serverless functions to long-running agent loops. They must be rock-solid: minimal CPU and memory overhead, zero tolerance for failure, and a developer experience that feels effortless. When you ship, thousands of developers benefit the same day. What You'll Do Own the Python and TypeScript SDKs end-to-end — reliability, performance, and developer experience. Set the bar for SDK quality across the organization. Design APIs developers love — naming conventions, parameter structure, breaking-change communication, and documentation. Every detail of the DX is yours to shape. Drive OpenTelemetry-based integrations — architect and implement framework integrations across the AI/LLM ecosystem (e.g. major LLM providers, orchestration frameworks, agent runtimes). Maintain and evolve the SDK release lifecycle — versioning strategy, packaging, CI/CD pipelines, compatibility testing, and automated release management. Performance engineer the SDK — profile, identify bottlenecks, and reduce latency and memory footprint so the SDK is never the limiting factor in production. Engage the open-source community — triage GitHub issues, review external PRs, write developer-facing docs, and represent the project on public channels. Collaborate cross-functionally — work closely with product and data teams to translate platform capabilities into clean SDK abstractions. What We're Looking For Required 5+ years of professional software engineering experience, including at least 2 years building or maintaining SDKs or client libraries Proven track record designing, impl
Redpanda Data · 🇬🇧 United KingdomRemote57y ago
Redpanda is the first runtime and control plane for agent-data interaction — a unified platform that combines streaming, SQL analytics, and intelligent connectivity with the governance layer enterprise AI agents need in production. Built on infrastructure already trusted by Fortune 500 companies and fast-growing startups, Redpanda enforces governance entirely outside the agent's data path, controlling what agents see, limiting what they do, and capturing a tamper-proof record of everything they touch, so organizations never have to choose between innovation and control. About the Role: Come and join our rapidly growing Solutions Engineer team! As a Solutions Engineer, you will help qualify and close opportunities with customers and partners and provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations You Will: Work alongside the sales team to introduce Redpanda to our potential customers Lead product and solution briefings, build proof-of-concepts (POC), run live product demos, and prototype Redpanda integrations Partner with Redpanda product management, engineering and support teams to solve customer challenges and improve customer experience Identify and address customers' key technical objections and develop the strategies to address those blockers to adoption You Have: 3-8+ years of prior experience leading presentations, collecting requirements, developing solution architectures, and teaching prospective users or project teams how to use software similar to Redpanda Comfortable developing/prototyping solutions in many different languages (e.g., Java, Python, Go, and Javascript) Passion for working on complex technical problems and have a strong understanding of modern infrastructure and streaming technologies (Kafka ecosystem preferred) Strong ability to build relationships with our partners, customers, and open-source users Experience demonstrating technical concepts, including presenting and whitebo
SoSafe · 🇬🇧 United KingdomRemote57y ago
SoSafe has the ambition to become the leading human risk management provider in Europe. Our award-winning awareness platform triggers behavioural change by providing effective and engaging training and simulations on cybersecurity and data protection. Cybercrime is costing the world >$10 trillion annually and growing by 15% p.a. - we invite you to be part of the solution! Location Requirement: This role is open to candidates currently based in and legally authorized to work in the UK, Portugal, or Ireland. We are unable to consider applicants outside these locations. Why Us? AI is transforming how software is built. At SoSafe, you'll join the team building the AI platform that powers the next generation of AI capabilities across our products. Rather than building individual AI features, you'll create the shared infrastructure, tooling and services that enable every engineering team to build, deploy and operate AI safely and at scale. Working in a small, highly autonomous team, you'll have real ownership, shape technical direction, and build systems that engineers across SoSafe rely on every day. Here's how you'll make a difference Build the core capabilities behind SoSafe's Agentic AI Platform, including agent runtimes, model routing, tool registries and shared platform services. Design and build production-grade platform services and developer tooling using Node.js, TypeScript, NestJS and React . Develop reusable AI infrastructure that enables engineering teams to build, deploy and operate AI agents securely and at scale. Work hands-on with LLMs, LangChain/LangGraph and agent orchestration , solving platform challenges around governance, observability and scalability. Own features end-to-end—from architecture and implementation through deployment and continuous improvement. Shape the future of AI engineering at SoSafe by contributing ideas, improving developer experience and influencing platform architecture. What you'll bring Strong experience building modern full
Jobgether · 🇩🇪 GermanyRemote57y ago
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Platform Engineer based in Germany. This role offers the opportunity to design and build the foundation of an AI-native operating environment used across a global organization. You will create scalable infrastructure that enables intelligent agents to operate reliably, securely, and transparently. The position combines advanced AI engineering, platform development, governance, and automation to solve complex operational challenges. You will own the architecture, execution layer, evaluation systems, and tooling required to make AI workflows trustworthy. Working in a fully remote and highly autonomous environment, you will influence how teams adopt and benefit from AI at scale. This opportunity is ideal for an engineer who enjoys building foundational systems, solving open-ended problems, and shaping the future of AI-powered work. Accountabilities The AI Platform Engineer will be responsible for building and operating the infrastructure that enables reliable, measurable, and governed AI systems across the organization. Design, build, and maintain the AI execution platform, including event-triggered workflows, model-agnostic runtimes, durable state management, human review processes, rollback mechanisms, and comprehensive run logging. Own the architecture decisions required to bring AI agent systems into production and ensure the platform operates reliably at scale. Develop the evaluation layer that determines whether AI systems are safe, accurate, and ready for production use. Create golden test suites, behavioral evaluations, safety checks, and CI gates that prevent unreliable AI capabilities from being deployed. Build and manage a portfolio of AI agents supporting business workflows such as reporting, drafting, analysis, triage, and knowledge management. Develop meta-level systems that monitor agent performance, identify improvements,
Nebius · Remote; Remote - EuropeRemote57y ago
<div class="content-intro"><p><strong>About Nebius:</strong></p> <p>Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.</p> <p>Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.</p> <p>Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.</p></div><p><span data-contrast="auto"><span data-ccp-charstyle="Strong"><strong>About the role:</strong></span></span></p> <p><span data-contrast="auto"><span data-ccp-charstyle="Strong">Token Factory is a part of Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale.</span></span></p> <p> </p> <p><strong><span data-contrast="auto"><span data-ccp-charstyle="Strong">Responsibilities:</span></span></strong></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">Develop and </span><span data-ccp-parastyle="Normal (Web)">optimize</span><span data-ccp-parastyle="Normal (Web)"> low-level kernels and runtime components for AI inference</span></span>
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
Datadog · 🌍 WorldwideRemote57y ago
<h2>About Datadog</h2> <p>We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale with trillions of data points per day, enabling seamless collaboration and problem-solving among Dev, Ops, and Security teams for tens of thousands of companies globally. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.</p> <h2>The Team</h2> <p>The Datadog Security Libraries team owns the customer-side integrations behind our run-time security products <a href="https://www.datadoghq.com/product/app-and-api-protection/">App & API Protection</a>, <a href="https://www.datadoghq.com/product/workload-protection/">Workload Protection</a>, and <a href="https://www.datadoghq.com/product/code-security/">Code Security</a>. Our libraries let customers automatically manage application security risk with continuous, real-time monitoring of vulnerabilities and threats against their web applications, serverless applications, and APIs, in production. Automatically integrated with <a href="https://docs.datadoghq.com/tracing/">Application Performance Monitoring</a> (APM) distributed tracing and code-level context, our software empowers development, operations, and security teams to build and run secure applications.</p> <p>As a polyglot team we ship and maintain the security capabilities of Datadog's tracing libraries across <a href="https://github.com/DataDog/dd-trace-dotnet"><strong>.NET</strong></a><strong>, </strong><a href="https://github.com/DataDog/dd-trace-java"><strong>Java</strong></a><strong>, </strong><a href="https://github.com/DataDog/dd-trace-go"><strong>Go</strong></a><strong>, </strong><a href="https://github.com/DataDog/dd-trace-js"><strong>Node.js</strong></a><strong>, </strong><a href="https://github.com/DataDog/dd-trace-py"><strong>Python</strong></a><strong>, </strong><a href="https://github.com/DataDog/dd-trace-ruby"><str