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Location: Limassol; Nicosia; Athens; Thessaloniki; Fully Remote - in other eligible locations Workplace: hybrid The Role:  As our Senior Platform Engineer, you will join a team who strive to push cloud services to the maximum limit every day using cutting-edge technologies. If you are a highly self-motivated professional who embraces DevOps culture, has experience with AWS services and technologies and is passionate about learning, automating, innovating and working in a highly collaborative environment, we'd like to hear from you! The main responsibilities of the position include: Initiate and actively drive the adoption of good patterns, structures and use of technologies for development and operations Investigate and identify practices and work that can benefit from automation Monitor and suggest improvements to the existing CI/CD process to increase speed, safety and reliability Implement and coordinate implementation with the parties involved Develop and maintain existing /GitLab CI pipeline libraries Assist developers with setting up CI/CD for their projects and provide support for any issues that may arise Stay up to date with the latest tools and trends in the industry Provide senior-level, best practice recommendations and implementations to our Windows, Linux and Kubernetes hosting environments Function as a mentor to junior team members, providing technical guidance and recommending continued learning opportunities to help them develop Educate fellow team members as well as Application Development Teams about the platforms used-for and hosted-by our team. Key tools and concepts in this space are: Gitlab, Docker, AWS, Terraform, Istio Service Mesh,  Kubernetes , Kafka, ELK Work with our Security team to remediate high-risk vulnerabilities and ensure the security of our environments are being scrutinised as appropriate for their use case Offer services related to the above tasks and projects to any of the Companies of the Group as instructed by the Line Manager Main requirements: University degree in Computer Science, Engineering, or a similar discipline 7+ years’ experience within the following areas: Cloud ( AWS), Release Pipeline Management, Windows Server Administration, Linux Administration, Certificate Management, PowerShell scripting, Bash/python scripting, Configuration Management and IAC (Ansible/Terraform), DNS, Networking Enterprise-level Kubernetes experience Solid Linux administration skills Commitment to continuous improvement, with a focus on observability, modern application architecture styles, blue-green / canary deployments, CI/CD pipeline management Ability to self-motivate, study, and stay on-top of emerging technologies and trends, while meeting business deadlines Experience with tools including: Istio, Prometheus, Grafana, ELK, MSK, New Relic The following will be considered an advantage: Familiarity with database concepts Working experience with at least one cloud provider (preferably AWS) Experience with Apache Kafka configuration and troubleshooting Experience with ELK configuration and troubleshooting Scripting skills (Bash, PowerShell, Python, Go, etc.) The Hiring Experience: What Awaits You Show Your Skills – Online Technical Challenge Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Limassol; Athens; Nicosia; Thessaloniki; Fully Remote - in other eligible locations Workplace: hybrid The Role: This is a great opportunity for you to work in a technology driven environment in close collaboration with skilled and passionate professionals, who utilize the best practices and cutting-edge technologies. You will be working on challenging projects that involve multithreading and high performance, security and scalable microservices. You will get every chance to share your opinions and grow professionally. Our technical stack includes, but is not limited to; AWS Cloud Services, Terraform, REST API and gRPC The main responsibilities of the position include: Write clean, simple, maintainable and testable code Design, implement and maintain cloud-based services and APIs Monitor, troubleshoot and debug applications Participate and run code reviews Follow emerging technologies and frameworks Main requirements: BSc/MSc in Computer Science, Engineering, or any other relevant degree In-depth experience with Go. Experience in other programming languages is considered a plus In-depth experience with REST service designs Experience with monitoring, logging and tracing systems Experience with GenAi will be considered as a plus Proven experience using SQL and NoSQL databases Very good knowledge of programming best practices and design patterns Experience using systems and tools for automating deployment, scaling, and management of containerized applications for production service deployments Good understanding of algorithmic complexity, data structures and multi-threading concepts Knowledge of AWS Cloud Services is considered a plus A keen interest in benchmarking and optimization Contributions in open source projects are considered a plus Strong teamwork skills with a problem-solving attitude and interest in personal development Benefit from: Attractive remuneration package Intellectually stimulating work environment Continuous personal development and international training opportunities Attractive relocation package and support for a smooth relocation for you and your family The Hiring Experience: What Awaits You Show Your Skills – Online Technical Challenge Let’s Connect – Intro Chat with Talent Acquisition Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Athens; Limassol; Nicosia; Thessaloniki; Fully Remote - in other eligible locations Workplace: hybrid The Role:  You will join a team working with Observability, Escalations, Post-mortems, Correction of Errors, and other practices that will contribute to the company's goal of cloud resiliency. You will be responsible for driving processes around reliability, best practices, cultural change, and enforcement of these practices. The main responsibilities of the position include: Honor and practice the Resiliency pillar of the Well Architected Framework in all tasks and responsibilities Conduct Chaos Engineering experiments and relevant exercises to improve resiliency and fault-tolerance Research workloads for migrating to the cloud with minimal disruption and impact Monitor cloud migration projects to ensure seamless transitions Design, consult, re-platform, and re-factor the observability of current cloud infrastructure Coordinate with other IT departments and teams regarding observability for both individual and organizational needs Regularly assess cloud deployments for compliance with the company’s standards and best practices Investigate and correct areas where observability is lagging Stay up to date and provide training on new and current technologies, services, tools, methodologies, and practices Occasionally participate in service capacity planning, software performance analysis, and system tuning Mentor colleagues in technical skills and knowledge Analyze, oversee, and remediate the company’s resiliency Participate in on-call support 24/7 based on a rotation schedule Main requirements: BSc/MSc degree in Computer Science or related field 5+ years of cloud services experience, with at least 3 years on AWS cloud 3+ years of experience in SRE or a similar role Experience with monitoring, APM, logging, and notification tools Familiarity with incident, problem and change management procedures and practices Advanced knowledge of SRE practices and methods Understanding and practice of Service Levels Strong troubleshooting skills and the ability to mentor others Extensive experience with Kubernetes and related technologies, services, and ecosystem Advanced knowledge of CI/CD, Infrastructure as Code (IaC) concepts and tools, especially HCL Terraform and AWS CloudFormation Experience with versioning tools like Git Strong organizational and documentation skills Exceptional time management and research abilities Advanced Linux, networking, and scripting skills The following will be considered an advantage: Experience with platforms like Kafka (MSK) Experience with RDBMSs, particularly Postgres and MySQL Knowledge of scripting languages such as Python or Go Benefit from: Attractive remuneration package and perks Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Show Your Skills – Online Technical Challenge Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Warsaw, PL Workplace: remote Location: Remote / Hybrid, EMEA time zone Team: Cloud Infrastructure & Data Engineering Level: Senior You are a great fit if you have… 3+ years of experience in GCP Worked with logging tools such as Cloud Monitoring, Prometheus, and Grafana Terraform in your blood and use it by default in every scenario Some experience with programming (TypeScript, Go, or Python) What will you do: Implement and refine monitoring, logging, and alerting Maintain CI/CD pipelines Ensure the security of the infrastructure Maintain documentation for developers and troubleshooting guides 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: Warsaw, PL Workplace: remote We’re looking for a Senior SRE specialized in BI ecosystems to join our mission-critical Infrastructure team. You won’t just maintain systems: you’ll connect our advanced Data Analytics tools with a solid, automated GCP/AWS backbone. You’ll bridge the gap between traditional Business Intelligence and modern Cloud Engineering, making sure data flows are fast, visualizations are seamless, and the infrastructure stays invisible. Location: Remote / Hybrid, EMEA time zone Team: Cloud Infrastructure & Data Engineering Level: Senior What you’ll do Manage and maintain environments in GCP and AWS Contribute to the Data Architecture and work with BigQuery Extend existing Terraform setup to ensure 100% immutability Work side-by-side with Data Engineers to build maintainable pipelines using Cloud Dataflow and BigQuery. You are a great fit if you have… 4+ years of experience in GCP Proven project experience with Data Lakehouse architecture Extensive knowledge of Kubernetes, both general and GKE specific Terraform in your blood and use it by default in every scenario Worked with AWS in the past 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: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE We're looking for an API engineer to join our core API team and help scale Runway's platform serving millions of users and handling thousands of requests per second. You'll work on the critical infrastructure that powers both our public API (used by external developers) and internal tools, managing user data, task orchestration, billing, permissions, and asset management. This is a high-impact role on a mature, production system. You'll build enterprise features, optimize database performance, design async workflows, and ensure reliability at scale. If you're passionate about API development, love TypeScript, and want to own systems end-to-end, this is the role for you. A PEEK AT OUR TECHNICAL STACK Our API endpoints for real-time collaboration and media asset management is written in TypeScript, and runs in ECS containers on AWS Fargate. We leverage multiple AWS-native components, such as S3, CloudFront, Lambda, Kinesis, and SQS, as building blocks of our infrastructure. Our inference backend is written in Python (PyTorch, TorchScript), and is deployed across multiple clusters / cloud providers. We use Kubernetes for container orchestration, and k8s-native components such as Flyte, Kueue, and Kyverno efficient job orchestration. We invest in prometheus and grafana for monitoring, and Terraform to manage our infrastructure. WHAT YOU’LL DO - Own the full API lifecycle from design and implementation to monitoring, optimization, and documentation for both public and internal APIs - Design and implement async workflows for task orchestration, content moderation, prompt enhancement, and post-processing pipelines - Optimize database queries and improve performance for a high-traffic Postgres database - Build rate limiting, fraud detection, and credit management systems - Implement comprehensive API security, rate limiting, authentication, and monitoring systems to ensure reliability at scale - Improve the public API developer experience with better documentation, SDKs, and tooling - Improve the performance, reliability, and code quality of our codebases WHAT YOU’LL NEED - 3+ years of industry experience building production APIs - Strong TypeScript experience, so you can jump in and be productive immediately - Experience owning systems end-to-end: infrastructure, monitoring, logging, metrics, incident response - Understanding of API design patterns, REST principles, and async workflows - Experience with relational databases (Postgres preferred) and query optimization - Experience architecting production-ready systems at scale using cloud primitives from AWS, GCP, or Azure - Ability to rapidly prototype solutions and iterate on them with tight product deadlines - Humility and open mindedness; at Runway we love to learn from one another Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Warsaw, PL Workplace: remote We are seeking an experienced DevOps Engineer to make the path of code, from a developer’s mind to our customers, as fast, secure, and efficient as possible. You will be the architect of the “software delivery highway” for a project that deploys FE & BE code to Kubernetes, using Postgres and S3 resources hosted in AWS. The code repository is hosted in Bitbucket, where the existing (inadequate) CI/CD pipelines run. The application is currently hosted on Vercel, and we intend to migrate the runtime to Kubernetes. Responsibilities Understand how NextJS applications are typically configured and deployed to Kubernetes. You can define a build process for dynamic environments such as for QA which partitions resources per Jira epic, including set up and tear down of Postgres DB, S3 bucket and sensible configuration management, deploying code from a specific git branch. You will define a release process that promotes and rolls back code and manages database migrations while minimizing disruption. This includes promoting code from QA to staging, and from staging to production. Manage and optimize Postgres and Object Storage infrastructure connected to NextJS deployments. Ensure compliance with AWS security best practices and governance policies. Experience defining and debugging Bitbucket CI/CD and scripting with Bash, Python, etc. Participate in architectural decisions, providing the infrastructure’s point of view. Help on writing and diagnosing issues with CI/CD pipelines, preferably with Argo CD. Work closely with development teams to ensure smooth integration of tools. Communicate technical information effectively to both technical and non-technical stakeholder Must-have requirements for this position At least 5 years of experience in SRE/DevOPS role or a related field. Strong understanding of AWS or GCP services and infrastructure management. Strong understanding of Bitbucket CI/CD build pipelines. Understanding of NextJS deployed to Kubernetes (Vercel understanding desirable), defining QA, staging & production environments and configuration management. Proven track record of managing complex environments and troubleshooting technical issues. Excellent problem-solving and analytical skills. Strong knowledge of IaC tools (Terraform, Ansible, etc) and git. Experience with shell scripting, python and/or automation tools. Knowledge of cloud security best practices and compliance frameworks. Strong communication and collaboration skills Ability to work effectively in a fast-paced environment Bachelor’s degree in Computer Science or equivalent experience. 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: Home Based - Americas; Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring a Software Engineer for Distributed Systems Testing with a passion for building and validating resilient distributed systems. You drive the success of those leveraging Canonical’s Ubuntu and Juju to build multi-cloud deployable applications. We see quality engineering as a first class engineering practice and are looking for people who can bring deep engineering insights and a data driven approach to testing, test automation, reporting and data analytics. The Distributed Systems testing team at Canonical is responsible for the high quality of Canonical’s Cloud solutions based on for example Juju, Terraform, OpenStack, or Kubernetes. Systems are tested and deployed under highly diverse conditions, from bare metal in customer data centers to public clouds such as AWS, GCE, Azure. As a software engineer you will have the opportunity to develop CI pipelines which power Canonical’s cloud integration testing and reporting. You will help test our products on new clouds and advance our AI/ML pipelines for automatic analysis of test results. A successful candidate is interested in tackling these problems, as well as imagining and leading new initiatives within the team and across Canonical. The role entails Creating automated testing approaches and infrastructure for validating reliability, performance, and resilience of cloud orchestration tools and applications Enabling engineering teams across Canonical to develop software with confidence by making distributed system testing tooling available across the company Enhancing continuous integration pipelines for deploying and testing Canonical’s cloud native products such as Kubeflow Deploying, managing, and debugging highly distributed systems on clouds and bare metal Monitoring and reporting on automated testing efforts Collaborating daily with a globally distributed team What we are looking for in you Solid background in modern test processes and strategies Experience with Python or Go development Strong object oriented development skills Working knowledge of continuous integration tools such as Jenkins, CircleCI, GitHub Actions Knowledge of networking technologies and fundamentals Solid understanding of the Linux system architecture Complex abstract thinking 2-4 weeks of international travel travel per year Nice-to-have skills Ability to develop and ship modern production grade web applications Ability to operate data platforms: key-value stores, relational or document databases, event buses Data collection and analytics skills for large multidimensional datasets Experience with AI/ML pipelines Experience with cloud technologies such as OpenStack, Kubernetes, Terraform and AWS What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Anywhere Senior Build Systems Engineer Remote - Anywhere (American timezones preferred) About Brave Brave is on a mission to protect the human right to privacy online. We’ve built a free web browser that blocks creepy ads and trackers by default, a private search engine with a truly independent index, a browser-native crypto wallet, and a private ad network (opt-in!) that directly rewards you for your attention. And we’re just getting started. Already over 128 million people have switched to Brave for a faster, more private web. Millions more switch every month. The internet is a sea of ads, hackers, and echo chambers. Big Tech makes huge profits off our data, and tells us what’s true and what’s not. Brave is fighting back. Join us! Summary As a colleague (in a team of 8 seniors, each with 15-25+ years of experience) your work will be around reducing toil and building and supporting the automation and processes that enable us to reach 200 million users. We have hundreds of builds running every day for over 1000 GitHub repositories (many open source) with languages like C++, Rust, Go, Python, JavaScript/TypeScript, Ruby, Kotlin, Bash/Shell, HCL and many more. We ship fast and on multiple desktop and mobile platforms, architectures and distribution channels. Multiple CI systems and acceleration/optimization techniques are used to build the right thing and the thing right. Our processes are light and we have no mandatory weekly meetings, 0 on-call, no need to be in an office (unless you really want to) and no strict core hours. Work is autonomous (collaborative at times), asynchronous, flexible. Requirements 10+ years of experience with automation and CI, build and release engineering, testing and reporting tools, code signing, app stores and distribution, packaging (for mobile or desktop apps) extensive and diverse operating system + architecture experience (Android, iOS, Linux, macOS, Windows + x86/x64/arm64) AWS + Terraform any combination of Bash/Shell, Python, Kotlin, Groovy AI-positive but able to code and review generated code privacy and security product mindset, interface with multiple teams, see things end to end, lead on best practices Nice to haves TeamCity (Kotlin DSL), Jenkins (Jenkins Job Builder) browser or Chromium knowledge gn, ninja, siso, reclient, Remote Execution API, EngFlow, ccache/sccache, custom builds systems Gerrit automated testing at scale performance testing and tuning security and quality scanning, SAST/DAST Working at Brave Industry-leader in privacy, with a research and engineering team that’s innovating everyday to keep people safer online and beat Big Tech Highly competitive salaries & benefits, and generous home-office stipends Fully remote team, though we have offices and gatherings in a few locations around the world Welcoming, humble, ridiculously smart teammates, and a truly flat org structure Opportunity to get in early at a hyper-growth company, and revolutionize the web Oh, and did we mention Brendan, our CEO & co-founder, invented JavaScript? Fully remote or hybrid position. No visa sponsorship provided. Check us out brave.com

Location: Global Remote Workplace: remote Metabase is the easiest way for people to get insights from their data, from tiny startups who get up and running quickly to major corporations with tens of thousands of users. That's why people love us.   We bring data tools with the elegance and simplicity of consumer products to the crufty world of enterprise business intelligence. We provide an opinionated open source starting point for how companies should measure, analyze and share their data, which is used by tens of thousands of companies. Tens of thousands of companies use Metabase every day to answer questions about their data. While we seek to become the de-facto self-managed open source analytics software for organizations everywhere, many customers want an ability to use Metabase without worrying about the operational details of self-hosting. That’s why we recently launched our Metabase Cloud product. We’re looking for operations engineers to help build out and run our new and quickly growing ‘Metabase Cloud’ hosted product. You will: Own and operate our application stack and AWS infrastructure to orchestrate and manage our hosted customer instances of Metabase Debug runtime issues across the different levels of our application stack and hosting stack. Develop and build our internal tooling and automation to manage the lifecycle of a hosted Metabase installation, from purchase to deployment, zero-downtime upgrades, and general operational health Continuously improve our automated deployments and testing We're looking for someone who: Is thoughtful and careful Compulsively automates everything and documents it Is able to make solid technical judgements and back them up articulately Has at least 5 years of experience building and operating production infrastructure, ideally on public cloud Strong Kubernetes and AWS experience Strong experience with IaC and Terraform Can write high quality and readable code in a modern language (e.g. Python, Go, etc.) Experience with modern monitoring stacks (e.g Prometheus/Grafana/Datadog) Projects you could work on: Multi-region hosting Automate EKS cluster provisioning Extend our CRDs and Operators Improve the RDS sharding strategy for our multi-tenant platform Unify and improve our CI/CD platforms Collaborate with core application developers on changes to improve our application metrics, deployment speeds and CI integration. Maintain our SOC2 compliance and security posture Compensation The US base salary range for this role is $97K–$200K annually, plus equity and benefits. Compensation is determined by role, level, location, and individual qualifications, including skills, experience, and scope of responsibility. Pay may vary by geographic location and other job-related factors. Benefits We offer meaningful equity and a comprehensive US benefits package, including fully employer-covered medical, dental, and vision insurance (with 75% coverage for dependents), a 401(k) with employer match available to enroll after the first 30 days, flexible and unlimited paid time off including sick time, and an asynchronous, remote-first environment. We're a global team (50% outside the US), fully distributed (from Thailand to California), who get things done asynchronously, with plenty of uninterrupted time, supporting each other to do the best work of our careers. We offer flexibility (define your own schedule and work from wherever you want), autonomy, and an environment that fosters growth, learning, and development. We're relentlessly user-focused and believe in building long-term value, not short-term hacks. And we raised a $30M Series B to take our approach to the next level for years to come.   For U.S. applicants: Metabase participates in the federal E-Verify program, which confirms employment authorization of newly hired U.S. based employees. E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire.   E-Verify Participation Notice (English/Spanish) Right to Work Notice (English/Spanish)

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