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Location: San Francisco In this role, you will work on our foundational building blocks, implementing the vision of self-service SOA infrastructure within a company experiencing exponential growth and rapid-fire product rollouts. You will develop a suite of scalable, resilient and very secure services underlying all of our products. You will be implementing available, resilient and highly performant services used by thousands of people every day. You will make key technical decisions and design choices, as well as writing amazing code, and you’ll provide advice and support to other engineers. We expect and encourage you to learn, grow and take on ever more ambitious challenges as the company and team scales. This role is as technically demanding as it gets; if you’re interested in tackling a real challenge, this is the job. Ok, sounds good? Please send us your, - Github repos - Link to your blog if you have one. - CV

Location: Warsaw, PL We are looking for a Data Engineer to design, develop, and optimize our data infrastructure on Databricks. You will architect scalable pipelines using BigQuery, Google Cloud Storage, Apache Airflow, dbt, Dataflow, and Pub/Sub, ensuring high availability and performance across our ETL/ELT processes. You will leverage Great Expectations to enforce data quality standards. The role also involves building our Data Mart (Data Mach) environment and implementing CI/CD best practices. A successful candidate has extensive knowledge of cloud-native data solutions, strong proficiency with ETL/ELT frameworks (including dbt), and a passion for building robust, cost-effective pipelines. Responsibilities Data Architecture & Strategy – Define and implement the overall data architecture on GCP, including data warehousing in BigQuery/Databricks, data lake patterns in Google Cloud Storage, and Data Mart (Data Mach) solutions. Integrate Terraform for Infrastructure as Code to provision and manage cloud resources efficiently. Establish both batch and real-time data processing frameworks to ensure reliability, scalability, and cost efficiency. Pipeline Development & Orchestration – Design, build, and optimize ETL/ELT pipelines using Apache Airflow for workflow orchestration. Implement dbt (Data Build Tool) transformations to maintain version-controlled data models in BigQuery, ensuring consistency and reliability across the data pipeline. Use Google Dataflow (based on Apache Beam) and Pub/Sub for large-scale streaming/batch data processing and ingestion. Automate job scheduling and data transformations to deliver timely insights for analytics, machine learning, and reporting. Event-Driven & Microservices Architecture – Implement event-driven or asynchronous data workflows between microservices. Employ Docker and Kubernetes (K8s) for containerization and orchestration, enabling flexible and efficient microservices-based data workflows. Implement CI/CD pipelines for streamlined development, testing, and deployment of data engineering components. Data Quality, Governance & Security – Enforce data quality standards using Great Expectations or similar frameworks, defining and validating expectations for critical datasets. Define and uphold metadata management, data lineage, and auditing standards to ensure trustworthy datasets. Implement security best practices, including encryption at rest and in transit, Identity and Access Management (IAM), and compliance with GDPR or CCPA where applicable. Scientists & Analytics Enablement – Collaborate with Data Science, Analytics, and Product teams to ensure the data infrastructure supports advanced analytics, including machine learning initiatives. Maintain Data Mart (Data Mach) environments that cater to specific business domains, optimizing access and performance for key stakeholders. Requirements 1. Experience – 3+ years of professional experience in data engineering, with at least 1 year in mobile data 2. Technical Expertise with GCP Stack – Proven track record building and maintaining BigQuery environments and Google Cloud Storage based data lakes. – Deep knowledge of Apache Airflow for scheduling/orchestration and ETL/ELT design. – Experience implementing dbt for data transformations, RabbitMQ for event-driven workflows, and Pub/Sub + Dataflow for streaming/batch data pipelines. – Familiarity with designing and implementing Data Mart (Data Mach) solutions, as well as using Terraform for IaC. 3. Programming & Containerization – Strong coding capabilities in Python, Java, or Scala, plus scripting for automation. – Experience with Docker and Kubernetes (K8s) for containerizing data-related services. – Hands-on with CI/CD pipelines and DevOps tools (e.g., Terraform, Ansible, Jenkins, GitLab CI) to manage infrastructure and deployments. 4. Data Quality & Governance – Proficiency in Great Expectations (or similar) to define and enforce data quality standards. – Expertise in designing systems for data lineage, metadata management, and compliance (GDPR, CCPA). – Strong understanding of OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing) systems. 5. Communication – Excellent communication skills for both technical and non-technical audiences. – High level of organization, self-motivation, and problem-solving aptitude. What we offer Competitive compensation based on your experience and expertise Long-term contract-based collaboration A collaborative and open environment Flexible collaboration arrangements

Location: Auckland Workplace: hybrid We are looking for a Senior Backend Engineer who will oversee the creation and delivery of the 90 Seconds products. In this role, you'll be a part of a collaborative team of empowered and accountable people focused on the same vision and priorities, solving the right problems for 90 Seconds users.   90 Seconds provides an end-to-end solution to manage all aspects of high-quality video creation via a global video creation platform for Brands and Creators. Our sights are set a whole lot higher and we're looking for that determined someone who’s obsessive about building great products that change users' experience for the better. What You'll Love Doing Own the backend and infrastructure. Look after reliability, performance, monitoring and incident response for a platform that's live and growing. Own security. Cover identity and access, multi-tenant data isolation, secrets and audit, and make sure we stand up to enterprise security reviews. Grow the platform. Work with the team to design and ship new capabilities, and keep the architecture clean as it grows. Lead and mentor. Be the senior engineering voice on the team, review designs and code, and set standards. There's room to grow into an engineering manager role. Push our AI-first development further. Improve how we work with Claude Code and agents, so a small team can keep moving fast without breaking things. Communicate across the company. Explain technical trade-offs in plain English to founders, ops, finance, sales and customers, and write clear plans and incident reports. Who You Are An excellent communicator, both written and spoken. This matters as much as your technical skills. You explain complex things simply, write clearly and briefly, and are comfortable working with anyone in the company. Excellent English. Based in New Zealand, with the right to work here. 10+ years of senior backend experience building and running production systems. Strong infrastructure experience, ideally on GCP: containers, managed Postgres, event-driven systems, Terraform, CI/CD and observability. Security built in from the start, not bolted on afterwards. Real, hands-on experience developing with AI. You already work with Claude Code or similar, and you know how to keep quality high when agents write most of the code. Strong TypeScript and Node.js, with GraphQL and relational data modelling. Nice to Have - Experience leading engineers. - Marketplace or B2B SaaS background. - Payments experience. - Building LLM-powered features and agents in production. Our Values Be the Customer. Know, listen and live the experience of the customer. Think, talk, see, and ask like the customer. Then create value and build trust with the customer. We are live. Our team is nimble, focused, and ready to act together now to create value for the customer, that is live in over 100 countries. Own it. We are all owners. We focus on the core problems and opportunities that drive sustained success. We agree on a path, own the outcome, and do whatever it takes together. Focus on what matters. Know the goals, know the numbers, know what matters, and prioritize. Visualize it for everyone so that you can align the team and make it happen. Be Courageous. Have the courage to drive change for the business and don’t be afraid to take a risk and feel the burn.