Platform Engineer, Haddock
€50-60k
Restaurant management software
Be an early applicant
Restaurant management software
21-100 employees
Be an early applicant
€50-60k
21-100 employees
Company mission
To inspire and empower millions of restaurants by taking their business to the next level.
Role
Who you are
- They are champions of figuring out the unknowns
- They talk to customers, deliver quality work, improve our tooling, and are ambitious
- We look for people with these same motivations and ways of working
- 👉 5+ years of engineering experience, with time spent inside a platform, infrastructure or SRE team at a growing startup or scaleup operating real production systems. In a nutshell: you're an individual contributor who's seen how it's done well and wants to be the one setting the bar in a smaller, faster environment
- 👉 Accomplished in cloud and platform: hands-on with cloud infra, VPCs, networking, IAM and secrets. You've improved CI/CD and developer productivity in a growing team
- 👉 Performance and scale at the data layer: you've fought DB performance for real, designing indexes, solving partitioning, etc. You've worked with caches, queues or pub/sub in prod, and have used at least one search or analytics tool at scale (Elasticsearch, BigQuery, ClickHouse or similar)
- 👉 AI-native way of working. You already use AI daily, with good judgement and real productivity. You're excited that 50%+ of our infra cost is AI and want to own that. Candidates who don't embrace AI are not a fit
- 👉 You write clean code and can contribute to the product monorepo. You're not ops-only
- 👉 Fluent in Spanish and comfortable in English. We tend to speak in Spanish at the office and in Slack, and write documentation and projects in English
What the job involves
- We strongly adhere to the Lean Startup and Agile principles, favoring action over analysis, imperfect iteration over perfect delivery, and face-to-face communication
- As Senior Platform Engineer, you'll be an individual contributor within the engineering team, occassionally embeded in squads, but most of the time working on the platform roadmap
- You won't lead people (yet), but you will lead technical initiatives that touch every engineer at haddock
- You're expected to be opinionated, pragmatic, and to contribute code
- This is not an ops-only role
- Haddock is an AI-first company, and so is this role
- More than 50% of our infrastructure cost today is tied to AI workloads, not traditional SaaS software operations
- You'll own both worlds: classic platform work and the cost, performance and reliability of our AI stack
- You'll also use AI daily to do your own work, from infra automation, debugging, writing code, monitoring, etc
- Secure our data layer (VPC, DNS, secrets, IAM)
- Improve CI/CD and developer productivity
- Make infra observable: clear, actionable metrics and dashboards, including AI workload cost and performance
- Own cloud cost: visibility, predictability, optimization, with a sharp focus on our AI spend
- Help us scale performance: PostgreSQL optimization, caches, queues, pub/sub, and search/analytics infra (Elasticsearch, BigQuery, ClickHouse…) when the product calls for it
- Architect what comes next: alerting, team growth, next layer of scale
- Moving our PostgreSQL and MongoDB databases behind a VPC with no downtime, and tightening secrets management and IAM along the way
- Getting AI infra cost and performance under control: instrumenting our AI workflows, identifying waste, and making our AI spend predictable as we scale
- Improving CI/CD and preview environments so product engineers (and AI agents doing the work) ship faster with less friction
- Fixing our top performance bottlenecks: identifying the queries and endpoints that hurt most, fixing them, and mentoring the team so good query patterns become the default
- Leading the decision on whether to adopt Elasticsearch, BigQuery, ClickHouse or similar, backed by data from real product needs
Application process
- Intro call with Guillermo (Head of Technology), 25 mins
- Call with Pol (co-founder, CEO), 25 mins
- Technical interviews with Guillermo and another engineer (2 hours). Part 1: deep dive into a past infra/performance problem you've solved end-to-end. Part 2: system design on a concrete haddock scenario
- Sounds like an opportunity? Apply now. We’d love to meet you
- 💬 We answer all applications that include a personalized message or cover letter
Our take
In the restaurant industry, cost control is an essential aspect of maintaining a profit. By successfully managing the costs of food, labour, and overhead expenses, restaurants can optimise their margins and increase profitability. Many restaurants look to SaaS companies to provide them with specialised software solutions that save management valuable time and help them stay on top of the competitive restaurant industry.
Barcelona-based Haddock is helping restaurants improve their margins thanks to real-time cost control. Through the use of AI, Haddock is making it easy for customers to digitise documents as well as export data to make better decisions and optimise their business.
Haddock has witnessed steady growth since its inception in 2020 and is now home to over 1,000 customers. Accepted into the Y Combinator accelerator programme in 2021, the startup has since gone on to open new offices and make way for new employees for a promising future in restaurant software.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Mar 2022
$0.2m
SEED
Apr 2021
$3.6m
SEED
Total funding: $3.7m
Company benefits
- Flexible working hours
Company HQ
Dreta de l'Eixample, Barcelona, Spain
Leadership
Arnau Navarro
(CEO & Co-founder)Previously co-founded the mobile app Group where they served as CEO. They also have experience as the Internationalisation Manager at TEXFOR, as Country Manager at GINETEX Spain, and as a Lead Generation Manager at NoviCap.
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