Schwarz Corporate Solutions

Engineering Manager

• Develop individual potential and strengths of employees
• Search and find the right candidates for STACKIT
• Responsible for design, development, provisioning, and operations of Observability Suite services
• Conduct code reviews for scalability, maintainability and correctness
• Understand customers' needs and responsible for the technical vision of the product

Engineering Manager – Observability Suite

Developer Relations

• Design, implement, and maintain backend services and tools using Go
• Develop and optimize our CI/CD system with highly scalable custom runners
• Build, optimize, and troubleshoot Docker/OCI images and containerized applications
• Work with Kubernetes to deploy, monitor, and manage applications
• Collaborate with engineers and product team to define technical requirements and deliver high-quality solutions
• Write clean, maintainable code and participate in code reviews

Software Engineer – STACKIT Developer Experience, Pipelines

Full-stack Engineer

• Build high-performance, scalable mobile applications using React Native and Native languages (Swift/Kotlin).
• Write custom native modules when specific platform performance or functionality is required.
• Provide value through conscientious analysis and Pull Request Reviews.
• Embrace the "You build it, you run it" philosophy.
• Collaborate closely with Backend Engineers, Designers, and Product Owners.
• Propose new ideas, improve existing mobile practices, and proactively contribute to the product evolution.

React Native, Full Stack Engineer

Engineer

• Creating new database services
• Working in an international scrum team
• Developing automation processes for cloud databases
• Staying updated with database products

Database Engineer, MongoDB

Software Engineer

• Take ownership of the development and delivery of new features for Content & Store domain
• Participate in creating the best communication program, focusing on maximizing the lifetime value of our users through personalization and meaningful engagement
• Collaborate closely with QAs, designers and Product Owners within a squad-based team structure
• Define, design, and ship features in an Agile environment
• Build high-quality software and promote a culture of code quality, testing, and team collaboration across your squad and the wider company.

Mobile Engineer

Backend Engineer

• creating new database services
• work in an international scrum team developing cloud service for NoSQL databases
• develop automation processes for cloud database operation
• stay up to date with latest features of database products
• serve as a reliable point of contact for internal projects

Cloud Database Engineer, MongoDB

• Design and develop components of the Observability Suite as cloud services
• Extend system architecture with relevant open-source projects
• Develop Kubernetes operators for cloud services
• Maintain REST APIs for monitoring and alerting
• Conduct complex root cause analyses and implement fixes

Software Engineer – Observability Suite

• Build high-quality software using SOLID principles
• Being responsible for the development of the product in all the lifecycle, from the very first steps, deciding the best architecture to ensure the best performance in a production environment.
• Work in a cross-functional agile team and get involved in the entire development process: imagine, create, deploy and maintain.
• Collaborate closely with QAs, designers, APP developers and product owners.
• Generate and spread a culture of quality throughout the company.
• Communicate effectively and respectfully to all members of the organization.
• Work on a core product, then collaboration with other teams will be a must, you will be our representative.

Full Stack Engineer

Frontend Engineer

• Collaborate with the E-commerce department and use the established requirements management methods and tools to identify, verify and document the technical requirements necessary for the development of technological solutions and / or business technology
• Develop software products using VueJS, GCP
• Develop high-quality code for technical solutions
• Identify new software technologies that fit the specific needs and architectures of the projects involved
• Lead the development and configuration of applications from conception to stabilisation
• Test, debug, and document the implementation of an application

VUE.JS Software Engineer

• Write clean, efficient and maintainable code following coding and security best practices
• Implement new features based on business requirements
• Conduct code reviews to ensure code quality and maintainability
• Work and collaborate closely with the engineering team, product owner and other team members
• Write and maintain comprehensive documentation for the architectural system design
• Not afraid to learn new technologies and programming languages

Java/Kotlin Engineer

Incident Response Analyst

• Coordinate and communicate IT security incidents across teams and countries, managing the incident response process
• Detect and analyze potential security incidents, ensuring effective containment
• Reconstruct cyber-attacks and malware, analyze sensitive data, and derive remediation actions
• Develop mechanisms to detect anomalies and attacks, initiating preventive measures to alert in time
• Monitor the general threat landscape on the Internet and provide actionable recommendations
• Advise internal projects on security-related issues
• Conduct IT forensic investigations
• Create meaningful reports on IT security incidents

Incident Response Analyst Expert – Morning Shift

Android Engineer

• develop one of the best rated European retail applications with millions active users
• create clean and testable code in Kotlin and Compose
• take part of the implementation of new features and support and extend existing ones
• contribute to the product lifecycle from idea to continuous product improvement
• continuously improve the technical competency of our team

Senior Android Developer

Machine Learning Engineer

• Build & Maintain ML Infrastructure: Design, implement, and maintain our cloud-based infrastructure for large-scale computer vision model training and data management.
• Automate ML Pipelines: Engineer and deploy automated, production-grade ML pipelines for seamless data processing, model training, validation, and deployment.
• Enable AI/ML Teams: Collaborate directly with Data Scientists and AI Engineers to streamline and accelerate the entire model development lifecycle.
• Ensure Scalability & Reliability: Architect and operate robust, secure, and efficient infrastructure for our large-scale AI solutions.