Senior Software Engineer

Tesoro Ai — Colombia · Posted ~1 day ago

Senior Full-time Hybrid

Skills

Python JavaScript TypeScript Backend development Microservices Cloud infrastructure System design Java AWS Salesforce

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Summary ✨ AI‑Generated

A senior engineering role focused on designing and scaling backend systems and infrastructure. The position combines software architecture, cloud technologies, and advanced automation to deliver reliable platforms.

Highlights

Work on high-performance platforms with modern cloud technologies, scalable architectures, and strong focus on reliability and quality.

Description

About the Role We are looking for a full-time Senior Software Engineer to help design, develop, deploy, and scale microservices and infrastructure powering our high-performance platforms. This is a hybrid position based in Medellín, Colombia. While the ultimate goal of this role is to bridge into real-time Voice AI applications and advanced workflows, prior production experience in Voice AI or Salesforce Health Cloud is NOT a strict requirement. We are looking for a strong full-stack / backend engineer with a deep understanding of high-performance system design, low-latency architectures, and a strong commitment to software quality. Key Information & Core Stack Location: Medellín, Colombia (Hybrid environment: on-site / remote split).Codebase / Language Split: ~60% Python, ~30% JavaScript / TypeScript, ~10% Other (Java).Infrastructure: Cloud-based (AWS) and Enterprise Platforms (Salesforce ecosystems).Role Orientation: Highly QA-leaning (strong focus on testing, reliability, and robust engineering practices) and Architect-leaning (low-latency systems design).Domain Focus: Real-time infrastructure (Voice Infra) and workflow management within regulated environments. Primary Job Duties System Architecture: Leverage cloud-based service providers (AWS) and enterprise platforms (Salesforce) to design and implement production-caliber applications for real-time data processing and administrative self-service workflows.Performance Optimization: Ensure real-time performance of infrastructure, implementing specific optimizations for low-latency data processing and reliable conversational interactions.Quality & Reliability (QA-Leaning): Advance software engineering practices by developing automated tests, establishing end-to-end testing guidelines, and contributing to the ongoing improvement of telemetry and system reliability monitoring.Compliance: Ensure compliance with strict data security regulations while deploying scalable solutions that mitigate bias and improve platform accessibility.Cross-Functional Collaboration: Coordinate product improvements impacting day-to-day operations by working alongside implementation, operations, and technology partners to anticipate and mitigate live issues. Required Qualifications Education: Bachelor’s Degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent relevant work experience).Core Technical Skills: Strong experience building and maintaining modular, scalable applications using Python and JavaScript / TypeScript, leveraging AWS cloud-based services and modern DevOps tools (CI/CD, data pipelines).Systems Design: Proven track record in performant systems design; ability to translate deep knowledge of high-availability, high-throughput, or low-latency architectures into real-time environments.Regulated Environments: Prior production exposure to highly regulated or compliant environments is strongly preferred (e.g., Fintech, HealthTech, Banking, Government, or similar sectors with strict data compliance).Teamwork: A strong track record of contributing meaningfully to team-based development in a hybrid work environment, aligned with values of ownership, feedback, and open collaboration. Preferred (Nice-to-Have) Qualifications Experience or familiarity with Voice AI technologies, including ASR (e.g., Whisper, DeepSpeech), TTS (e.g., Amazon Polly, Google WaveNet), or Conversational AI (e.g., Rasa, Dialogflow, Amazon Lex).Familiarity with complex enterprise data models, such as Salesforce or Salesforce Health Cloud.Prior experience dealing with U.S. healthcare administrative processes, data data models, or standards (HIPAA, EHRs, Payers/Providers).