Senior embedded engineer developing safety - critical ECU firmware for Hexagon Mining’s digital mining and vehicle - control technologies. Designing, testing, and commissioning embedded systems.
About the role
- Mid-Level Software Engineer building and maintaining backend services for a new SaaS platform. Working with modern technologies like C#/.NET and contributing to AI-first engineering practices.
Responsibilities
- Build and maintain backend services for a new SaaS platform using C#/.NET
- Contribute to event-sourced and CQRS-based application features
- Apply Domain-Driven Design principles with guidance from senior engineers
- Implement clean, maintainable domain logic, APIs, message handlers, and integrations
- Work with PostgreSQL, RabbitMQ, Docker, and AWS-based services
- Write automated tests and use AI-assisted tools to help generate, review, and improve test coverage
- Use AI-first engineering practices, including code assistance, documentation support, workflow automation, and productivity tooling
- Participate in code reviews and provide thoughtful, constructive feedback
- Collaborate with product, design, QA, and engineering teammates to deliver reliable features
- Troubleshoot issues in development and production environments with support from the team
- Contribute to engineering standards, documentation, and team best practices
- Take ownership of assigned features from development through deployment
Requirements
- Professional experience building production software with C#/.NET
- Solid understanding of backend development, APIs, data persistence, and service design
- Working knowledge of Event Sourcing and CQRS, or strong interest with some hands-on exposure
- Familiarity with Domain-Driven Design concepts such as aggregates, entities, value objects, and bounded contexts
- Experience building modular applications using Vertical Slice architecture or similar patterns
- Experience working with PostgreSQL or another relational database
- Familiarity with asynchronous messaging or event-driven systems; RabbitMQ experience is a plus
- Experience using Docker for local development or service containerization
- Exposure to cloud-hosted applications, ideally AWS
- Practical experience using AI development tools to support coding, testing, documentation, debugging, or code review
- Interest in agentic AI concepts such as tool-using agents, automated workflows, orchestration, evaluation, and guardrails
- Ability to work independently on defined tasks while asking good questions when needed
- Strong communication skills and a collaborative engineering mindset
- Commitment to writing clean, tested, maintainable code.
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