Hive Power is a Swiss scale-up building software for the energy transition.

We develop technology for smart charging of electric vehicles and for the orchestration of distributed energy resources, including PV plants and battery energy storage systems (BESS). Our customers and partners include innovators such as Techstars, Axpo, AMAG, Toyota, Stellantis’ Free2Move E-Solutions, and IVECO, as well as major utilities across Switzerland, Austria, Germany, Italy, Belgium, Portugal, and Spain.

We are building real infrastructure for a more flexible, electrified energy system.

Why This Role Exists

FLEXO, our cloud-native Virtual Power Plant platform, is growing fast. The hard part is not just writing code. The hard part is making messy real-world systems work together: devices, APIs, gateways, telemetry, VPNs, industrial protocols, market platforms, customer environments, and internal tooling.

We are looking for someone who can operate across those layers and improve the whole machine.

This is not a narrow support role.

This is not a checklist-execution role.

This is for someone who likes understanding systems end-to-end, solving ambiguous technical problems, and building leverage through tooling and automation.

What Makes This Role Different

We are pushing hard on a next-generation agent-based coding paradigm.

That means we do not want people who are happy to manually repeat the same technical work forever. We want people who instinctively ask:

• why is this still manual?
• can this be automated?
• can an agent investigate this faster?
• can we build a harness that makes future integrations dramatically easier?
• can we redesign the workflow instead of just executing it?

You will help us build not only integrations, but also the internal agentic harnesses, tooling, diagnostics, and workflows that define how this work gets done in the future.

What You'll Do

• Own technical integrations across EV charging, PV, BESS, IoT gateways, and partner platforms.
• Move across layers: field constraints, protocols, APIs, networking, telemetry ingestion, backend services, observability, and production rollout.
• Debug complex failures across heterogeneous systems and drive them to root cause.
• Build reusable tools, scripts, mocks, diagnostics, test harnesses, and automation that reduce deployment friction.
• Help define and extend our agentic engineering workflows for integration, troubleshooting, documentation, and operations.
• Work directly with customers and partners when needed, but always with the goal of turning one-off effort into reusable systems.
• Feed product and engineering with high-quality insights from real deployments, so the platform gets better with each integration.

What We’re Looking For

We are looking for a smart, high-agency technical generalist.

Someone who:

• thinks in systems rather than silos,
• learns fast,
• is comfortable in ambiguity,
• can go from first principles to practical solution,
• has enough software depth to build tools and automate work,
• has enough real-world pragmatism to handle industrial and IoT constraints,
• does not need a perfectly defined playbook to be effective.

You probably fit if you enjoy being the person who can look at a broken multi-layer setup and say:

“I see what is happening, here is where it fails, here is how we prove it, and here is how we make sure it never wastes this much effort again.”

Relevant Technical Surface

You do not need to be an expert in everything, but you should be comfortable getting productive across several of these:

• Industrial / IoT connectivity: Modbus, MQTT, gateways, intermittent connectivity
• APIs & integration: REST APIs, webhooks, JSON, auth flows, retries, practical debugging
• Messaging & streaming: Kafka, Pulsar
• Data & storage: PostgreSQL, TimescaleDB
• Cloud-native systems: Kubernetes, Argo Workflows, Argo CD
• Observability: Grafana, logs, traces, metrics
• Networking & remote access: HTTP(S), TCP/IP, DNS, routing, firewalls, OpenVPN, ZeroTier, Tailscale
• Programming / automation: Python strongly preferred; ability to script, prototype, and automate is essential

Strong Signals

These are especially valuable to us:

• You have worked on messy real-world integrations, not only clean internal systems.
• You have experience near industrial automation, IoT, energy systems, or other hardware-adjacent environments.
• You build tools for yourself and others.
• You use AI coding tools seriously, not as a gimmick.
• You are excited by the idea of building a next-generation agent coding harness for integration-heavy engineering work.
• You care about speed, but also about robustness and abstraction.

Not the Right Fit If

• You mainly want a ticket-driven support role.
• You prefer narrowly scoped ownership with highly predefined tasks.
• You are uncomfortable switching between customer context, code, infrastructure, and system debugging.
• You dislike automation and would rather preserve manual workflows.
• You are looking for a conventional corporate environment with rigid boundaries between functions.

What Success Looks Like

In the first months, success means:

• you solve difficult integration problems with limited hand-holding;
• you improve deployment speed and reliability;
• you create reusable tooling that removes repetitive work;
• you contribute to our internal agentic workflows and coding harnesses;
• you become a force multiplier for both integrations and engineering.

What We Offer

• A chance to work on real infrastructure for the energy transition
• Competitive compensation package, including stock options
• A highly international and collaborative team
• Space for ownership, experimentation, and technical initiative
• Flexible working options: Lugano, hybrid, or remote in EU-friendly time zones
• A company culture that values people who build, improve, and challenge assumptions

Practical Details

• English required
• Italian is a plus
• Some travel may be required depending on projects and partners

How to Apply

Send us your CV or LinkedIn profile together with a short note on:

• a complex systems problem you solved,
• something you automated that used to be manual,
• how you use, or want to use, AI/agents to increase your technical leverage.