Вакансии

Location: San Francisco Launched in 2012, Koding, a fast-growing startup (with over a million users), is seeking a Head of Marketing to lead its growth, marketing, branding and PR efforts. We are looking for a solid leader to own our marketing efforts which include: * GTM strategy for upcoming products * Optimization of the product conversion funnels * Channel marketing efforts * Acquisition marketing efforts (including search, display and social media) The ideal candidate is someone who has worked closely with design and engineering teams and has a good understanding of the software product development process. If you have built strong relationships between products and users, then you are already a leg up. Koding is a developer-focused startup based in San Francisco’s SOMA district. Our core product is: “Development Environments as a Service”. We offer feature rich cloud-based development environments that are complete with free VMs, an attractive code editor & sudo level terminal… all in a browser. Koding provides all you need to move your software development completely to the cloud. You will be up and running in minutes on your own cloud-based Linux boxes where you can learn programming languages like Ruby, Go, Java, NodeJS, PHP, C, C++, Perl, Python…the list goes on! You can experiment with installing/configuring/hacking Wordpress, Laravel, Django, Bootstrap and a slew of others or fire up a MySQL, Mongo, Postgres server with the click of a button. Our collaboration features allow you to pair-program with your friends and colleagues using audio-video and real time sharing of the entire development workspace. Leave your localhost behind and step into the future! More info: * https://www.linkedin.com/company/koding * https://www.crunchbase.com/organization/kodingen

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: Warsaw, PL We are looking for a talented Quality Assurance Engineer to design and shape unique, user-centric software for customers across the globe. Requirements Strong understanding of QA principles, testing strategies, and manual testing methodologies (functional, regression, exploratory, smoke, UAT). Experience creating and maintaining test documentation (test cases, test plans, checklists). Experience testing Web APIs in service-oriented or microservices-based architectures. Solid understanding of REST APIs and HTTP protocol. Hands-on experience with API testing tools such as Postman or Swagger. Ability to work with JSON and XML data formats. Ability to write and execute SQL queries to validate backend data and system behavior. Understanding of CI/CD pipelines and experience working with build and deployment processes. Strong analytical skills, attention to detail, and ability to collaborate effectively with cross-functional teams. Ability to manage testing activities throughout the product lifecycle, from testing to release. English level: Upper-Intermediate or higher. Nice to have Experience validating ETL processes and data pipelines. Ability to analyze and validate data using BI tools (Power BI / Microsoft BI). Basic experience with load and performance testing tools (e.g., JMeter). What we offer Competitive compensation based on your experience and expertise Long-term contract-based collaboration A collaborative and open environment Flexible collaboration arrangements