Can you apply? Do they pay? Answered up front.

Python · AWS · Azure

What You Need: 5+ years of professional software engineering experience with strong Python expertise and deep understanding of core engineering fundamentals; What You Need: Demonstrated experience building or maintaining infrastructure, platform tooling, or DevOps systems with an SRE or operational mindset; What You Need: Proven ability to write technical design documents, architecture proposals, and detailed code reviews that communicate tradeoffs clearly; What You Need: Experience working independently to diagnose complex system issues, propose solutions, and drive them to completion; What You Need: Track record of coaching or mentoring other engineers, regardless of their level, through technical decisions and growth opportunities; What You Need: Proficiency using AI-powered development tools to accelerate workflows, reduce toil, and maintain focus on high-value engineering work while preserving strong fundamentals; What Will Make You Stand Out: You've worked in fast-paced startup or scale-up environments where you've had to balance high quality with speed and pragmatism; What Will Make You Stand Out: Experience in open-source ecosystems, package management systems, or build/release engineering workflows; What Will Make You Stand Out: Hands-on experience with cloud platforms (AWS, Azure), container orchestration (Kubernetes), or GitOps tooling (ArgoCD); What Will Make You Stand Out: You're genuinely curious about the 'why' behind every request—who benefits, what unlocks, is now the right time—and you're comfortable pushing back when the timing or tradeoffs don't align; What Will Make You Stand Out: You've worked at an AI-focused or data science company and understand the unique security and reliability demands of platforms serving automated workloads; What Will Make You Stand Out: You embody our values: 'Curious by Default', 'Build Together', 'Own It', and 'Lead with Guts and Heart', and our behaviors: Clarity, Care and Candor; What Will Make You Stand Out: You care deeply about fostering an environment where people of all backgrounds and experiences can flourish

AnacondaAnaconda provides a Python distribution and AI platform that help developers and enterprises source, secure, build and deploy open-source data science and AI software.

AWS · Azure · GCP

Go, Kubernetes, Production-grade distributed systems, AI integration, Mentoring engineers, Customer onboarding, AI-assisted workflows, Cloud environments (AWS, Azure, GCP)

StacklokStacklok is a London-based B2B company specializing in AI security and software supply chain security, offering the ToolHive platform for enterprises to securely connect AI agents to internal data.

Kubernetes

5 years of experience, Go, Distributed systems design, Kubernetes, AI coding tools, Concurrency, Networking, Data consistency, Clear written English

DiagridDiagrid builds tools for reliable, secure distributed applications and AI-agent workflows.