• Design, configure, and maintain telecom systems supporting substation protection and control schemes • Integrate communication networks for SCADA, tele-protection, and automation systems • Engineer and support microwave radio communication systems for utility-grade networks • Ensure reliable communication paths for protection relays, including line differential and distance protection schemes • Perform testing and commissioning of protection and telecom systems in substations • Troubleshoot faults in telecom and protection interfaces, ensuring minimal downtime • Collaborate with protection engineers to ensure proper signaling, latency, and redundancy requirements • Develop and maintain documentation including network diagrams, settings files, and test reports • Ensure compliance with industry standards (e.g., IEC, IEEE, NERC where applicable) • Support cybersecurity practices within telecom and control system environments

• Administer SaaS platforms: user management, security, permissions, workflows, integrations. • Proactively evaluate new SaaS features and run pilots/adoption programs. • Measure and report on adoption and usage trends across collaboration platforms. • Identify opportunities to leverage AI, automation, and integrations for smarter collaboration. • Troubleshoot and resolve SaaS-related incidents, documenting best practices. • Deliver documentation, training, and communication to drive user enablement.

• Installing, configuring, and upgrading SCCM/MECM hierarchy, site systems, and clients. High level of end point support (500,000+) • Packaging and deploying applications, software updates, and security patches (IAVM/AGM) to workstations and servers. • Imaging and provisioning machines, using PXE boot, task sequences, and managing drivers. • Ensuring systems meet compliance standards and generating reports on asset inventory and patch status. • Analyzing logs (SMSProv.log, WUAHandler.log, etc.) to resolve client communication or deployment failures

Role Description We're hiring engineers to build production software with Claude Code on a per-project basis. You won't write much code by hand. You'll orchestrate the agents, design the skills, manage context and memory, and ship working apps. We need people who've actually mastered this and understand what's happening under the hood, not vibe-coders. If you've shipped real things with Claude Code and you can handle Git, deployments, databases, security, and the rest, we want to talk. You'll get a fixed pay per each project. Our average builders make more than $10k per month. Responsibilities - Take projects from spec to deployed software, with Claude Code (and other coding agents where they fit) doing most of the typing. - Author CLAUDE.md files, skills, and prompt systems that produce consistent output. - Manage context, sub-agents, memory, and tokens across long-running tasks. - Drive TDD with agents using hooks, sub-agents, and verification patterns, and don't let the agent cheat. - Set up CI/CD, deployments, databases, secrets, and monitoring properly. - Be the final quality gate. Review what the agent produced, refactor what's wrong, ship what works. Qualifications - Real, demonstrable Claude Code experience. You've shipped apps with it — not POCs, not toys. - Multi-agent fluency. You've worked across at least one other coding agent (Cursor, Codex, Copilot, Amp, Cline, or similar) and can articulate the trade-offs. - Skill authoring. You've written reusable skills (SKILL.md, system prompts, agent definitions) that produce consistent output, not one-off prompts that need re-tuning every session. - Context engineering. You manage the context window deliberately. You know when to summarize, when to spawn a sub-agent, when to clear and restart. - Memory management. External memory, RAG, file-system memory, structured handoffs across sessions and days. - Token economy. You optimize for cost. You know which model to use for which task. You're not burning Opus tokens on jobs Haiku would handle. - Git. Branches, rebases, worktrees, conflict resolution, clean commits. You don't panic when something goes sideways with origin/main. - Deployments. You can ship a Next.js app to Vercel, a backend to Fly or Railway, a container to AWS — and you can debug it when it breaks at 11pm. - Databases. Postgres-class fluency. You've worked with Supabase or equivalent (Neon, RDS, PlanetScale). You understand schemas, indexes, migrations, foreign keys, transactions, and Row Level Security. You don't write SELECT * in production code. - Security. Secrets management, env vars, auth flows (OAuth, JWTs, sessions), input validation, CORS, prompt injection in agent contexts, scoped tool permissions, the OWASP Top 10. You don't ship credentials to GitHub. - Networking and infra basics. DNS, HTTPS, environment isolation (dev/staging/prod), basic observability (logs, error tracking, uptime monitoring). - Reading code. When the agent produces something subtle, you catch it. You can debug across files, languages, and stacks. - TDD with agents. You can make a coding agent actually do test-first development. You know it doesn't do this naturally — and you have your guardrails. - Unit and integration testing. pytest, Jest, Vitest, Playwright, or whatever your stack demands. Meaningful coverage, not theater. - Eval frameworks for agent quality, not just deterministic tests. - Code review reflex. You don't merge what you haven't read. - Honest communication. When something is harder than expected, you flag it early. You don't disappear and resurface with surprises. Benefits - $10,000+ per month (paid per project). Uncapped upside for top operators who can ship multiple projects. - Per-project structure. Defined scope, defined deliverables, no fake urgency. - Fully remote, async-friendly. Work where and when you do your best work. - Real autonomy. You pick the agent architecture, the skills, the workflow. We don't micromanage process. - Steady pipeline. For engineers who consistently deliver, repeat work is the default. - Direct line to decision-makers. No PM layers between you and the people who own the outcome. - Tooling budget for model APIs, plugins, and infrastructure required to do the job well. - A peer network of other top-tier agentic operators we work with on overlapping projects. How to Apply - A real project you shipped where AI agents wrote most of the code under your direction. Live URL preferred. Repo if it's open. Tell us what the agent got right, what it got wrong, and what you did about it. - A skill, CLAUDE.md, MCP server, or hook setup you're proud of. Show us your taste and your standards. - Your TDD-with-agents approach. Briefly: how do you make a coding agent actually do test-first development without cheating? - Something that proves you operate under the hood. A war story about a deployment that went sideways. A Supabase schema you're proud of. A security issue you caught. A migration you executed without drama. Something that shows you're not just driving the agent — you understand the road.