AG Talent
Lead Software Engineer

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Engineering Lead, Remote across Europe
Are you an Engineering Lead who wants full ownership of production on a platform processing 50 million background jobs a day?
It is a bootstrapped SaaS platform providing CRM, analytics, and automation for creator agencies, with a new autonomous AI agent product driving most of its growth.
📍 Remote across Europe.
💷 €95,000 to €140,000 depending on experience, plus potential revenue share - Preference is B2B but they can work through an EoR too.
🤝 Interview Process: 3 stages:
- Introductory call with me. You will be fully briefed before you speak to anyone.
- Interview with the CTO, 30 to 60 minutes. An introduction, then a live technical problem-solving session built around a real problem the team has faced.
- Final conversation with the CEO, 30 to 60 minutes.
Tech Stack: Ruby on Rails, Sidekiq, PostgreSQL, React, Electron, dedicated servers on Hetzner and OVHcloud.
This is a bootstrapped business, five years trading, with a great ARR, an established customer base, and no investors to answer to. The founders are both still hands-on. They are hiring their first senior engineer outside the two of them.
- A PostgreSQL database holding over a terabyte of data.
- Around 50 million background jobs a day through Sidekiq, and more than 36 billion processed to date.
- Everything running on one primary server, 48 vCPU and 192GB RAM, with a separate worker server.
- An autonomous AI agent product that has roughly doubled recurring revenue in the past few months.
The next step is scaling all of that beyond a single primary server, with the monitoring, recovery, and review standards a business this size should already have. That is where you come in.
The Role:
You will own day-to-day technical delivery and production operations, so the founders can focus on product and growth.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
This is hands-on. Diagnosing problems, writing and reviewing code, directing technical work, and following it through to release. You will get production access and be accountable for keeping the platform secure, fast, and recoverable.
You will lead a small, fully remote engineering team technically. Formal people management stays with the CTO. Unresolved priority conflicts go to the CEO.
What You Will Be Doing:
- Owning production: uptime, performance, security, backups, disaster recovery, and incident response.
- Owning PostgreSQL performance, safe production migrations, data retention, and recovery, including how analytical workloads are separated and older data archived.
- Owning the scaling plan as the platform moves beyond its current single primary server setup.
- Keeping Sidekiq processing reliable at current volumes and designing for what comes next.
- Reviewing pull requests from a team working heavily with AI tooling, and setting the standards, tests, and guardrails that keep large AI-generated changes safe to ship.
- Owning production incident response during agreed working hours, with backup and out-of-hours responsibilities shared across the team.
- Contributing to the AI agent product as it becomes the main revenue driver.
Experience We Are Looking For:
- Senior backend engineer or tech lead who has owned live, customer-facing production systems and been the person called when they break.
- Deep PostgreSQL experience at scale: large datasets, query tuning, migrations on live tables, replication, backups, and recovery. Over a terabyte of data should not worry you.
- Strong DevOps and infrastructure skills. You have scaled systems off a single server before and can plan the path without being told how.
- High volume background job processing. Sidekiq is ideal, and equivalent queueing systems are fine if you understand the failure modes.
- Hands-on experience building with LLMs and using AI development tools. You can assess generated code critically and validate its behavior.
- Experience leading technical delivery for a small distributed team. You delegate clearly, resolve blockers, and follow work through without founders having to chase.
- Fluent English. The team is fully remote and distributed, so clear written communication matters.


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Nice To Have:
- Recent Ruby on Rails experience. Strong backend engineers from similar languages are welcome.
- Experience introducing monitoring, alerting, and incident runbooks somewhere that had none.
90 Day Outcomes:
- First 30 days: Map the infrastructure, PostgreSQL setup, and Sidekiq workload, address urgent capacity and security risks, validate backups with a restore test, and establish essential monitoring, alerts, and incident ownership.
- Days 30 to 60: Deliver the highest value reliability and capacity improvements, agree on data retention, and establish a consistent review and release process.
- Days 60 to 90: Deliver the next infrastructure improvements, support the AI agent roadmap, document operational procedures, and get a second person able to operate critical systems.
This is not for you if you want a pure management role, if you need a big platform team around you, or if you are skeptical about AI-assisted development.
It is for you if you have run live systems at scale, you want to own production rather than ask permission, and you would rather set the standards than inherit someone else's.
Apply now for consideration.
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