Backend Engineer - Extensions

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Backend Engineer - Extensions based in Spain.As a Backend Engineer - Extensions, you will play a key role in building and scaling backend systems that power advanced AI-driven capabilities for enterprise applications. Working at the intersection of engineering and data science, you will design reliable, high-performance workflows that support complex prediction use cases across multiple industries. This position offers the opportunity to tackle challenging distributed systems problems while contributing directly to production-grade solutions used by large organizations. You will collaborate closely with data scientists and research teams to transform innovative ideas into scalable backend services. The role combines deep technical ownership, architectural influence, and hands-on development in a fast-paced, impact-driven environment. If you enjoy solving complex engineering challenges and building systems that operate at scale, this is an exciting opportunity to make a meaningful contribution.Accountabilities:Own the end-to-end reliability, scalability, and performance of backend extension capabilities, ensuring they meet the demands of enterprise-level deployments.Design, develop, and maintain distributed workflows that are efficient, observable, reproducible, and resilient in production environments.Partner closely with data scientists and cross-functional stakeholders to understand technical and business requirements and translate them into robust engineering solutions.Monitor, identify, and resolve system bottlenecks while continuously improving latency, throughput, and operational efficiency.Contribute to architectural decisions and backend infrastructure evolution, ensuring seamless integration with broader platform services.Develop clean, maintainable, and thoroughly tested Python code while promoting high engineering standards and best practices.Create and maintain technical documentation, helping establish scalable development processes and knowledge-sharing practices across the team.Requirements5+ years of professional backend engineering experience, with strong expertise in Python development.Deep understanding of distributed systems design, production-scale services, and backend architecture principles.Strong knowledge of concurrency models, task execution frameworks, and workflow orchestration patterns.Experience building systems that prioritize observability, reproducibility, reliability, and ease of troubleshooting.Proven ability to collaborate effectively with technical and non-technical stakeholders to deliver practical, scalable solutions.Strong ownership mentality with the ability to independently drive projects from concept through deployment.Excellent problem-solving skills and attention to software quality, performance, and maintainability.Experience with workflow orchestration tools such as Temporal, Dramatiq, Celery, or similar platforms is a plus.Familiarity with machine learning infrastructure, data science workflows, or high-throughput data processing systems is advantageous.Exposure to Kubernetes, containerized environments, and Python performance optimization techniques is beneficial.BenefitsCompetitive compensation package including salary and equity opportunities.Comprehensive healthcare coverage for employees and eligible dependents.Inclusive paid parental leave supporting all paths to parenthood.Relocation assistance for employees joining from other locations when applicable.Flexible and collaborative work environment focused on ownership, innovation, and continuous learning.Opportunity to work on cutting-edge AI technologies and contribute to impactful enterprise-scale solutions.Diverse, mission-driven culture that values initiative, teamwork, and long-term professional growth.How Jobgether works:We use anAI-powered matching processto 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-CL1We 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.

5+ years of professional backend engineering experience, with strong expertise in Python development. Deep understanding of distributed systems design, production-scale services, and backend architecture principles. Strong knowledge of concurrency models, task execution frameworks, and workflow orchestration patterns. Experience building systems that prioritize observability, reproducibility, reliability, and ease of troubleshooting. Proven ability to collaborate effectively with technical and non-technical stakeholders to deliver practical, scalable solutions. Strong ownership mentality with the ability to independently drive projects from concept through deployment. Excellent problem-solving skills and attention to software quality, performance, and maintainability. Experience with workflow orchestration tools such as Temporal, Dramatiq, Celery, or similar platforms is a plus. Familiarity with machine learning infrastructure, data science workflows, or high-throughput data processing systems is advantageous. Exposure to Kubernetes, containerized environments, and Python performance optimization techniques is beneficial.

Competitive compensation package including salary and equity opportunities. Comprehensive healthcare coverage for employees and eligible dependents. Inclusive paid parental leave supporting all paths to parenthood. Relocation assistance for employees joining from other locations when applicable. Flexible and collaborative work environment focused on ownership, innovation, and continuous learning. Opportunity to work on cutting-edge AI technologies and contribute to impactful enterprise-scale solutions. Diverse, mission-driven culture that values initiative, teamwork, and long-term professional growth. 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.