• Diseñar y desarrollar APIs RESTful y/o GraphQL • Implementar lógica de negocio siguiendo principios de arquitectura limpia • Optimizar el rendimiento de aplicaciones y bases de datos • Escribir código limpio, testeable y bien documentado • Participar activamente en code reviews y pair programming • Colaborar con equipos de frontend, QA y producto • Implementar medidas de seguridad y buenas prácticas • Documentar soluciones técnicas y flujos de datos

Role Description Why you will enjoy Mondays again: - Opportunity to work alongside a talented, diverse team in a collaborative and creative environment - Ongoing investment in your growth through training, mentorship, and industry certifications - Hands-on exposure to cutting-edge technologies across multiple industries - Recognition programs and employee awards within an inclusive culture that celebrates great work, including our AI Innovators Program - Remote or hybrid work options A Day in the Life: - Design, build, and enhance scalable applications and services using Elixir and its ecosystem. - Apply advanced Elixir knowledge to solve complex technical challenges, improve application performance, and maintain high-quality code. - Use Claude throughout the development lifecycle to accelerate delivery, support troubleshooting, improve code quality, and streamline everyday engineering tasks. - Develop and support cloud-based solutions within AWS environments, following established security, reliability, and scalability practices. - Collaborate with product, engineering, and cross-functional teams to translate business needs into effective technical solutions. - Participate in architecture discussions, code reviews, testing, and technical planning while helping establish development best practices. - Monitor and troubleshoot application behavior across distributed systems, using tools such as Datadog when applicable. - Work with technologies such as Kafka and PostgreSQL to support event-driven workflows, data processing, and reliable application integrations. - Identify opportunities to improve system performance, observability, automation, and overall platform stability. - Actively use AI tools, including Claude through our Anthropic partnership, to streamline tasks, improve the quality of your work, and share best practices with teammates while continuously seeking new ways to integrate AI into your everyday workflows. Qualifications - Consultative approach and problem solving skills to successfully align digital solutions with long-term business goals of the client - Hands-on experience using AI tools to enhance daily work, or a strong desire to do so, including a willingness to experiment, learn, and champion AI adoption within your role - Commitment to understanding and exceeding client expectations - Ability to perform project oversight and execution of deliverables - Flexibility to adapt within a high-growth organization - Ability to lead, mentor and motivate those around them - Hunger for continuous learning and professional development - Intellectual curiosity to provide creative solutions - Full understanding of the software development life cycle - Ability to positively impact fellow colleagues through effective leadership, presentations, coaching, etc. - Desire to work in a team environment - Good interpersonal, written and verbal communication skills Equal Employment Opportunity Policy Sparq is proud to offer equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic. We are committed to providing equal employment opportunities and believe in an inclusive workplace. If you require reasonable accommodations to participate in the job application or interview process, please let us know by contacting recruiting@teamsparq.com . #LI-REMOTE

• Design and own backend systems that handle high-throughput, asynchronous workloads (generation queues, worker orchestration, media processing) • Architect for scale and reliability — you'll make the calls on data flow, service boundaries, and failure handling • Build and optimize async pipelines: job queuing, retries, backpressure, dead-letter handling, and everything that keeps millions of requests moving • Improve performance and cost at the infrastructure level — inference is expensive, and efficiency is a product feature here • Set technical direction and raise the engineering bar for the team through review and mentorship

• Design and own backend systems that handle high-throughput, asynchronous workloads (generation queues, worker orchestration, media processing) • Architect for scale and reliability — you'll make the calls on data flow, service boundaries, and failure handling • Build and optimize async pipelines: job queuing, retries, backpressure, dead-letter handling, and everything that keeps millions of requests moving • Improve performance and cost at the infrastructure level — inference is expensive, and efficiency is a product feature here • Set technical direction and raise the engineering bar for the team through review and mentorship