DevOps / SRE Engineer Engineer

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 - Our processes and tools are constantly improving, and everyone contributes to making them better - Keep-the-lights-on work is shared, like bug fixing, monitoring and dependency management. We succeed at this by having a rotating squad of Defenders that tackles this kind of maintenance work - Some example high-level objectives that you could work towards in your first months are: - 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 - This is the first platform role at haddock. You won’t be slotting into an existing team with inherited standards, you’ll be setting them. If you’ve been inside a scale-up platform team and want to be the one implanting those practices in a smaller, faster environment, this is for you - It will be more than a job. It’s a chance to leave your mark on an industry that’s ripe for transformation. Our best perk is our work environment and the opportunities you’ll get to learn and grow at haddock Benefits - Flexible working hours- 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) - 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 - You write clean code and can contribute to the product monorepo. You’re not ops-only - 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 - 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- We move fast and communicate openly. Our goal is to wrap up the process within a week. Here’s what to expect: - 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 - Final call with Arnau (co-founder, CEO), 25 mins - We answer all applications that include a personalized message or cover

As Senior DevOps / SRE Engineer 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 - Your work cuts across the stack to make the whole team faster and safer: - Secure our data layer (VPC, DNS, secrets, IAM) - Improve CI/CD and developer productivity - Make infra observable: clear