The devtools story this week is less about “more AI” and more about who is getting paid to make AI dependable. The big rounds are landing with teams building the boring but essential layer underneath agentic apps: durable execution, state that survives failures, and runtimes that can host long-running work without turning deployment into a full-time job. At the same time, new tools are showing up to make multi-agent development feel less like branch chaos and more like an engineering workflow you can trust.
⚒️ DevTools Job Opportunities of the Week
If any of the roles pique your interest, please contact the relevant recruiter below.
Engineering Manager | Remote, UK/Europe | Base up to EUR 190k
Join a commercial open-source company building the next generation of infrastructure data management, powered by an active community and a conviction that AI will reshape engineering work. You will scale the engineering organization while maintaining clarity, ownership, and quality through a period of high-velocity growth. This role involves building an AI-first organization where AI is central to design, implementation, and operations, while implementing data-driven management via DORA metrics.
Contact Louise Ogilvy | +1 917 924 5437 | louise@develocity.io
Frontend Engineer (up to Staff) | Hybrid, SF Bay Area | Competitive Comp + Equity
This team is focused on helping developers work effectively inside massive, complex codebases. Backed by top-tier investors with over $250 million raised and approaching Series C, the role focuses on owning and shipping high-quality, developer-facing experiences in TypeScript and React. You will work closely with product and platform teams to shape workflows used by thousands of engineers. This position is best suited to a Frontend Engineer with deep modern experience and a track record of building impactful products for technical users.
Contact Becca Combe MIRP CertRP | +52 998 939 9191 | becca@develocity.io
AI Product Engineer | Hybrid, SF Bay Area | Base up to $300k + equity
Join a Series B devtools startup experiencing phenomenal growth and trusted by leading tech companies. This hands-on engineering role focuses on translating product needs into intuitive, reliable AI experiences, from prompt design to system integration. You will contribute across frontend, backend, and integration layers to build tools that developers love. This position is ideal for a Product Engineer or Applied AI Engineer with strong coding skills in Python, Go, Node.js, or Java, experience with API integrations, and familiarity with prompt engineering for LLMs.
Contact Becca Combe MIRP CertRP | +52 998 939 9191 | becca@develocity.io
Member of Engineering | Remote, EMEA or East Coast USA | Base up to $400k
Opportunity to join a fast-moving AI company on a mission to build foundational models that power economically valuable work and scientific progress. You will build and harden distributed infrastructure for large-scale model training, focusing on system reliability, fault tolerance, and GPU efficiency. The role requires writing high-quality Python, C++, and CUDA to accelerate training recovery within large-scale systems. This team combines deep research and engineering expertise to create systems with high reliability and performance.
Contact Louise Ogilvy | +1 917 924 5437 | louise@develocity.io
Principal Software Engineer | Remote, Europe or USA | Competitive Base
Great opportunity to join a commercial open-source infrastructure automation company building a next-generation platform that helps engineering and operations teams unify data and scale automation reliably. With $250 million raised and approaching their Series C, you will own platform architecture and drive extensible design for backend systems. This role involves leading architectural reviews and championing AI-first development practices to elevate engineering velocity and system reliability.
Contact Louise Ogilvy | +1 917 924 5437 | louise@develocity.io
🏆 DevTools Funding Wins
Temporal Secures $300 Million Series D For Durable Execution
Temporal Technologies raised $300 million at a $5 billion valuation to help enterprises move agentic AI from pilot projects into production. Led by Andreessen Horowitz, the round supports a platform that ensures reliability for long-running, stateful AI systems even during infrastructure failures. With over 20 million monthly installations, the technology is used by OpenAI and Netflix to manage complex workflows and maintain state across distributed systems. As CEO and Co-Founder Samar Abbas says:
“Temporal exists to make agentic AI work in production as well as any other class of application, reliably, predictably, and at scale.”
🏗️ Huge milestone for the team, read the full Temporal announcement here.
Render Raises $100 Million To Build AI Cloud Runtime
Render secured $100 million in a Series C extension led by Georgian, bringing its total funding to $258 million at a $1.5 billion valuation. CEO and Founder Anurag Goel plans to use the capital to evolve the platform into a consolidated runtime for AI agents, which require long-running, stateful execution rather than traditional request-response cycles. The roadmap includes managed sandboxes, durable workflows, and native object storage to end infrastructure fragmentation for AI builders.
☁️ Brilliant news for cloud builders, explore Render’s new AI runtime features.
SurrealDB Bags $23 Million For AI Native Database
SurrealDB raised an additional $23 million in Series A funding to scale its multi-model database designed for the AI era. The platform collapses fragmented data stacks into a single layer where relational, graph, and vector data coexist natively to provide persistent memory for AI agents. This milestone coincides with the General Availability of SurrealDB 3.0, their most production-ready version to date. Co-founder and CEO Tobie Morgan Hitchcock says the investment demonstrates excitement for their category-defining database and its clear path to large-scale production usage.
🗄️ Congrats to the SurrealDB team, read the full announcement here.
Selector Secures $32 Million For AI Powered Observability
Selector raised $32 million at a $375 million valuation to simplify network monitoring using artificial intelligence. The platform creates a digital twin of corporate infrastructure to map traffic patterns and surface technical issues that engineers usually uncover manually. By generating natural language alerts and providing a chat interface for root cause analysis, Selector helps Fortune 1000 companies eliminate downtime across fragmented monitoring tools. CEO Kannan Kothandaraman says enterprises are moving toward platforms that deliver intelligence and automation at scale to manage increasingly complex network environments.
📡 Great developments for DevOps leads, congrats Selector – read the news here!
🚀 New DevTools Launched
Emdash Launches Open Source Agentic Development Environment
Arne Strickmann and Raban von Spiegel launch Emdash (YC W26) as part of the latest YC batch. Emdash is an open-source desktop app designed to run multiple coding agents in parallel without merge conflicts. By using isolated Git worktrees for each agent, developers can compare diffs from over 20 providers like Claude Code and Gemini side-by-side before shipping a PR. The environment includes integrated file editors, browser previews, and issue handoff from Jira and GitHub to streamline the agentic workflow. It solves the “wait and see” problem by allowing teams to test different models against the same task simultaneously.
💻 Exciting launch for agentic workflows, give Emdash a go!
Terminal Use Launches Hosting Infrastructure For Background Agents
Another YC launch; Vivek Raja, Filip Balucha, and Stavros Filosidis bring Terminal Use (YC W26) to provide a secure execution environment for long-running background agents. The platform is framework agnostic, supporting agents built on Claude Agent SDK or custom frameworks while handling durable messaging and filesystem forking. It allows developers to isolate data and compute per customer, making it easier to deploy production-grade agents to enterprise environments. The founders, who previously worked at Palantir, built the tool to help teams iterate on agent harnesses through a CLI-first approach.
⚙️ Brilliant news for infrastructure teams, explore Terminal Use here.
Hello ClawMetry For OpenClaw Observability
Vivek Chand has launched ClawMetry to solve the “black box” problem inherent in agentic workflows. While OpenClaw has become a favorite for building autonomous agents, developers often struggle to debug exactly where a multi-step process breaks down or why an agent is looping. ClawMetry provides a dedicated observability layer that tracks every decision, tool call, and state change in real time. Finally, real visibility into what agents are actually doing. Super useful for anyone building with OpenClaw. By providing granular logs and performance metrics specifically tuned for the OpenClaw framework, Chand is making it significantly easier to move experimental agents into reliable production environments.
📊 Essential for AI developers, get started with ClawMetry here.
Got launch news or funding to share? Send it to Natalie Harper.
Want more details on the opportunities here or want to register your resume with us, reach out to Becca Combe MIRP CertRP and Louise Ogilvy directly.
Keywords: AI native database, agentic infrastructure, network observability, distributed training, GPU efficiency, open source devtools, background agents, AI code review, production reliability, developer productivity, cloud runtime, multi-model database, agent orchestration, software engineering jobs.
