.NET Engineer Middle

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a . NET Engineer Middle based in Germany.

Join a remote engineering team building scalable, high-traffic technology for a fast-moving fintech environment.

You will design, develop, and maintain reliable backend solutions using C# and modern .

NET technologies.

The role combines hands-on software development with distributed systems, data-intensive workloads, APIs, and cloud-native infrastructure.

Your work will directly contribute to products where technology, data, performance, and reliability are critical to the user experience.

You will collaborate with engineers and cross-functional stakeholders to turn complex business requirements into clean and maintainable solutions.

There is also significant scope to improve observability, engineering practices, and development efficiency through modern tools and AI-assisted workflows.

This opportunity is well suited to a mid-level engineer who enjoys solving challenging technical problems and working with modern backend technologies.

• Accountabilities
• Design, develop, and maintain scalable solutions for high-traffic systems using C# and modern . NET.
• Analyze business and technical requirements and translate them into clean, maintainable components aligned with established architectural principles.
• Collaborate with engineers and cross-functional stakeholders to design, implement, and deliver new product features.
• Write clean, testable, maintainable, and well-documented code supported by appropriate unit, integration, and load testing.
• Work with asynchronous programming, multithreading, distributed systems, and event-driven architectures to build reliable services.
• Investigate production incidents and improve system observability through effective use of logs, metrics, traces, and business data.
• Contribute to performance optimization, scalability improvements, and overall system reliability.
• Work with APIs, relational databases, caching systems, and messaging technologies as part of the broader technology ecosystem.
• Research and evaluate new technologies, tools, AI capabilities, and engineering practices that can improve product quality and development efficiency.
• Contribute to continuous integration and delivery processes and support reliable software deployment practices.
• Participate actively in an Agile development environment, collaborating with teammates to continuously improve products and engineering workflows.

Requirements

• 3+ years of commercial software development experience using C# and modern . NET.
• Strong understanding of object-oriented programming, design patterns, data structures, and algorithms.
• Hands-on experience with multithreading and asynchronous programming.
• Proven experience building and operating software in production environments.
• Familiarity with distributed systems and event-driven architectures, including message brokers such as Rabbit MQ or Apache Kafka.
• Understanding of scalability and reliability principles, with some practical exposure to performance tuning.
• Solid experience with relational databases, preferably Postgre SQL; familiarity with No SQL databases is an advantage.
• Experience developing and consuming APIs using technologies such as REST, Graph QL, or g RPC.
• Hands-on experience with Entity Framework.
• Practical experience with Docker and a basic understanding of Kubernetes concepts.
• Experience writing and maintaining unit and integration tests.
• Experience with continuous integration and delivery tools, preferably Git Lab and Argo CD.
• Comfortable working in a fast-paced Agile environment and collaborating effectively with distributed teams.
• Understanding of modern AI capabilities and limitations, with hands-on experience using AI-powered coding assistants or agents.
• English proficiency at B1 level or higher, sufficient for technical discussions and documentation.
• Experience with Click House or other analytical databases for large-scale data processing is a plus.
• Experience with AWS or another major cloud platform is a plus.
• Familiarity with Infrastructure as Code tools such as Terraform is advantageous.
• Experience in fintech, trading, or other high-load environments is a strong plus.

Benefits

• Fully remote working opportunity.
• Medical insurance.
• 20 paid vacation days per year.
• 10 paid sick leave days per year.
• Paid public holidays according to the applicable company holiday calendar.
• Professional education and development budget.
• Language learning budget.
• Wellness budget covering eligible expenses such as gym memberships and sports equipment.
• Tax expense coverage and expert support for eligible private entrepreneurs in Ukraine.
• Opportunity to work with modern technologies including . NET, Postgre SQL, Redis, Click House, Rabbit MQ, Kafka, Docker, Kubernetes, AWS, and cloud-native tooling.
• Exposure to high-traffic, data-intensive fintech systems and challenging engineering problems.
• Opportunity to use modern AI-powered development tools and contribute to continuous improvement of engineering practices.

How Jobgether works

We use an

AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.

Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice

By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer.

This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR).

You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.

These tools assist our recruitment team but do not replace human judgment.

Final hiring decisions are ultimately made by humans.

If you would like more information about how your data is processed, please contact us.