Backend Software Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Backend Software Engineer based in Spain.
This role sits at the core of a modern cloud-native platform used by thousands of developers worldwide to build and deploy scalable applications. You will be responsible for designing and maintaining the backend systems that power critical infrastructure, ensuring high performance, reliability, and scalability at every level. The work spans distributed systems, APIs, microservices, and database optimization in a fast-moving engineering environment. You will collaborate closely with frontend engineers and DevOps teams to deliver seamless end-to-end functionality. The role offers significant ownership over system design decisions and the opportunity to directly influence platform architecture. This is a great opportunity for an engineer who enjoys solving complex backend challenges in a production-grade, high-scale environment.
Accountabilities:
Design, build, and maintain scalable backend services and APIs supporting a high-availability cloud platform
Develop and evolve microservices architecture to ensure performance, scalability, and fault tolerance
Optimize database structures and queries to improve system efficiency and reliability
Ensure system resilience, high availability, and robust error handling across distributed environments
Collaborate with frontend engineers, DevOps, and other stakeholders to deliver end-to-end features
Participate in technical discussions, architecture decisions, and code reviews to maintain engineering quality standards
Contribute to continuous improvement of backend systems, including performance tuning and system optimization
Support CI/CD practices and contribute to smooth deployment and release processes
Requirements
3+ years of experience in backend software development
Proficiency in Go, Python, Node.js, or similar backend programming languages
Strong understanding of relational and non-relational databases (SQL and NoSQL)
Solid knowledge of RESTful APIs and microservices architecture
Experience working with distributed systems or event-driven architectures is a plus
Familiarity with cloud platforms such as AWS, GCP, or Azure is preferred
Understanding of containerization and orchestration tools such as Docker and Kubernetes is a plus
Knowledge of CI/CD pipelines and modern software delivery practices
Strong problem-solving skills with attention to performance and scalability
Good communication skills and ability to work effectively in a collaborative engineering team
Benefits
Competitive salary ranging from £45k to £100k depending on experience and location
Equity participation in a fast-growing, venture-backed company
Fully remote work with timezone alignment (UTC ±2 hours)
Opportunity to work on a widely used cloud-native platform at scale
Collaborative engineering culture focused on performance and product excellence
Exposure to modern distributed systems, microservices, and infrastructure tooling
Supportive environment for professional growth and technical development
Inclusive workplace with equal opportunity hiring 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.