Principal Engineer, Resilience

INTRO At Adsquare, our mission is driven by our core focus: * Passion – Solving complex challenges with great people, tech, and data. * Niche – Location Intelligence for Programmatic Advertisers. Our core values are integral to everything we do: * Drive: We turn ambition into action. * Resilience: We adapt, persevere, and grow stronger. * No BS: We value honesty, transparency, and clear communication. * Humble: We choose modesty over vanity and let results speak for themselves. * Moral Compass: We do the right thing with fairness, integrity, and respect. We seek candidates who not only bring top-tier technical expertise but also embody these values in every aspect of their work. ABOUT THE TEAM We are looking for a Staff Data Analytics Engineer to join our technical proficiency track. This is a highly technical, Individual Contributor (IC) role. You will act as the Technical Lead for your squad—making critical architectural decisions, defining engineering standards, and driving cross-squad collaboration—without the responsibilities of people management. You will be the technical north star for the team, approaching extremely complex data problems with a rigorous software engineering mindset. You will design, build, and oversee production-grade data platforms that process massive volumes of geo-spatial data, audience attributes, and geo-location time-series data. YOUR PROFILE We are looking for an exceptional engineer who has a proven track record of acting as a technical leader and domain expert in heavy data environments. Must-Have Skills: * 7+ years of experience in Data Engineering, Analytics Engineering, or Backend Development with a deep focus on massive data systems. * Geo-Spatial & Time-Series Expertise: Proven, hands-on experience handling massive datasets specifically involving geo-spatial (GIS) data, audience attributes, and high-frequency time-series data. * Advanced Software Engineering (Python): Mastery of Python beyond standard data scripting. You write highly modular, object-oriented code. You have deep, practical experience with Test-Driven Development (TDD), mocking, exception handling, and performance profiling, functional programming. * Architectural Vision: Deep expertise in designing scalable data architectures using both relational and horizontally scalable data warehouses/lakehouses (e.g., Snowflake, Redshift, Athena, StarRocks, Iceberg). You deeply understand query execution plans, partitioning, clustering, and cloud cost governance. * Big Data Frameworks: Extensive experience with large-scale data processing frameworks (e.g., Apache Spark, PySpark, AWS EMR, Glue) to handle massive throughput. * Expert SQL & dbt: You design scalable, robust data models (using Jinja, macros, incremental strategies) that serve as the foundation for our entire analytics layer. * AWS Cloud Native & IaC: Hands-on experience building architectures in AWS (e.g.: AWS Lambda, AWS Batch, Glue, StepFunctions, S3, EC2, ECS, ECR, Fargate) and deploying them using Infrastructure as Code (Terraform). * Leadership Skills: Superb organizational and communication skills. You can distill complex architectural trade-offs for non-technical stakeholders and drive technical consensus among your engineering peers. Nice-to-Have Skills: * Polyglot Programming: Experience with a compiled or strongly typed language (e.g., Scala, Go, Kotlin, C++ or Java). * Advanced Orchestration: Experience defining complex dependency graphs in tools like Airflow, Dagster, or Prefect. WHAT YOU WILL DO * Technical Leadership & Architecture: Act as the principal architect for your squad. You will design horizontally scalable, cost-efficient, production-grade data solutions capable of handling TB-scale, highly dimensional datasets. * Engineering Excellence & TDD: Champion rigorous software engineering principles. You will lead the adoption of Test-Driven Development (TDD), CI/CD workflows, and clean code architectures. You ensure our codebase is resilient, testable, and maintainable. * Cross-Squad Impact: Drive technical alignment beyond your immediate team. You will act as an engineering ambassador, solving architectural issues that span multiple squads, keeping our technical processes synchronized, and aligning your squad's work with global engineering priorities. * Domain Mastery: Leverage your deep expertise to build high-value data products on top of location signals and audience attributes. You don't just process data; you deeply understand its geographic and time-series nature to unlock its business value. * Mentorship & Code Quality: Be the technical mentor for Senior, Mid, and Junior engineers. Through highly insightful code reviews, architectural feedback, and pair programming, your input will consistently be the source of others’ learning and growth. * Data Observability: Proactively build monitoring and alerting frameworks at the infrastructure level to catch anomalies in our multi-terabyte data streams before they impact downstream products. WHY US? On top of a competitive package… * We are open to flexible work models: we work on a hybrid mode and remotely  * To encourage education and professional growth, we offer an individual yearly budget of 1.200€ * You are entitled to 30 vacation days per year * We offer Urban Sports Club membership, company pension scheme * Regular team events and company events organised by our People team (Trust us, they know how to throw a party!) * We equip you with the latest hardware and provide you with all the tools you need to thrive SALARY RANGE (ANNUAL ON-TARGET EARNINGS) 90,000 - 100,000 euros RECRUITING PROCESS COULD REQUIRE ON SITE STEPS For technical roles (Data, Engineering, and Product), candidates are encouraged to upload any technical certifications referenced in their CV via the "Other Documents" section of the application form. Alternatively, certification documents may be submitted after the first technical interview. Any certifications listed on the CV must be provided and successfully validated before proceeding to the second technical interview stage. * Step 1: Short 30-min take-home technical quiz. * Step 2: Value-based interview (30 mins). * Step 3: Deep-dive technical interview (1.5 hours) with the Data team. * Step 4: Practical data-crunching challenge. * Step 5: Team Meet & Greet — the final step to ensure we’re a great fit for each other. WORK MODEL Hybrid DESIRED START DATE Asap

ABOUT PARLOA Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. ABOUT THE ROLE: Parloa's platform is only as trustworthy as the infrastructure beneath it. As enterprises commit their most sensitive customer conversations to our system, the cloud foundation, network topology, and deployment architecture that carry those workloads must be reliable, scalable, and operated with precision. That foundation is yours to build and lead. As Engineering Manager for Infrastructure Platform, you'll shape how a fast-scaling AI company designs, provisions, and evolves the infrastructure that powers everything. Your team owns the landing zone, network topology, global traffic routing, IaC modules for self-service provisioning, and enterprise IT integrations. You'll be the person our product engineering teams rely on when they need infrastructure to move as fast as they do, and the person our enterprise customers trust when they need to know the platform is built to last. If you want to define what world-class cloud infrastructure looks like inside an AI-native company scaling to global enterprise, this is it. AREAS OF OWNERSHIP: * Hire, develop, and retain engineers who combine deep technical craft with ownership and accountability. Create an environment where people grow fast and hold each other to a high standard. * Own the full infrastructure substrate end-to-end — landing zone, network topology (hub-and-spoke, VPN, peerings), global routing and DNS, IaC module library, and the runner infrastructure that keeps CI/CD moving. * Drive Parloa's multi-tenant deployment architecture forward. Own the runtime abstractions that hide multi-tenancy complexity from product teams. Ensure new regions and customer deployments can be stood up predictably and at pace. * Establish the IaC conventions, Terraform modules, and orchestration patterns that product teams depend on. Make infrastructure self-service without making it unsafe. * Infrastructure Platform sits at the center of the Tech Platform group. Your IaC workflows hand off to DevEx. Your networking and patching posture feeds SecOps. Clear ownership and tight collaboration across those seams is part of the job. * Some of your biggest stakeholders are the sales and customer teams closing enterprise deals in regulated industries. You'll be called on to explain your architecture, your resilience model, and your data residency posture in ways that help our organization move forward. WHO YOU ARE: * 8+ years in infrastructure, cloud, or platform engineering, with at least 3 years leading teams, ideally in a SaaS or platform company at meaningful scale. * Hands-on experience with cloud-native infrastructure (Azure, AWS, or GCP), including networking, IAM, Kubernetes, and IaC (Terraform in particular). * Strong conviction about infrastructure as a product: you think about self-service, reliability at the foundation layer, and giving product teams the primitives they need to move fast without becoming infrastructure experts. * A proven team builder. You know how to hire strong infrastructure engineers, develop them into seniors, and create the conditions for good independent judgment. * Comfortable operating across abstraction layers: you can review a Terraform module, discuss multi-tenant runtime topology at an architecture review, and explain multi-region HA tradeoffs to a non-technical audience in the same day. * Familiarity with compliance-adjacent infrastructure concerns (data residency, network segmentation, audit logging) as they arise in enterprise SaaS environments. * Genuine curiosity about what AI-native infrastructure looks like at scale. The patterns are still being written, and you want to help write them. OUR ENGINEERING VALUES: At Parloa, we hire, promote, and evaluate based on cultural and technical excellence. You’ll thrive here if you: * Earn Trust – act with transparency and reliability. * Obsess Over Customers – always start with the customer problem. * Think Big – set bold goals and pursue them fearlessly. * Have Integrity – do the right thing, especially when it’s hard. * Disagree & Commit – debate with candor, align fast, and deliver. * Own It – take full responsibility for outcomes, not just tasks. * Dive Deep – master the details without losing sight of the big picture. * Bias for Action – move fast, decide quickly, iterate fearlessly. * Deliver Value – measure success by customer and business impact. * Insist on the Highest Standards – raise the bar continuously. * Go the Extra Mile – make the impossible possible. * Hire & Elevate the Best – raise the bar with every hire. WHY JOIN PARLOA? * Impact at Scale: Define the future of enterprise AI in a market ripe for disruption. * Elite Talent Density: Work alongside top-tier engineers, Staff, and Principal leaders in a reverse-pyramid structure optimized for speed and innovation. * Culture of Builders: Ownership, autonomy, and fearless iteration are not slogans—they are how we win. * Uncapped Growth: Be part of an org growing 4x annually, where career opportunities multiply as fast as our business. Global Ambition: Help establish Parloa as Europe’s most admired engineering organization, competing head-to-head with FAANG and beyond.   OUR RECRUITING PROCESS: Recruiter Interview → Peer Interview → 360° Technical Interview Loop → Bar Raiser Interview   ---------------------------------------------------------------------------------------------------------------------------------- Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. Parloa is an e-verify employer in the USA. Please click here to learn more. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.