Senior Developer

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August 20

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Redial BPO

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B2B • Telecommunications • SaaS

Redial BPO is a full-service nearshore and offshore business processing outsourcing (BPO) company founded in 2017. With over 1000 seats across its locations in Mexico and South Africa, Redial BPO offers services that include tech support, customer service, debt collection, lead generation, and live chat services. The company aims to reduce operational costs for its clients by up to 50%, offering culturally aligned, accent-neutral workforce solutions. Redial BPO serves a wide array of industries, including financial services, healthcare, IT, retail, telecommunications, hospitality, travel, logistics, automotive, and utilities. Known for its use of advanced technology, including AI-based call simulation and speech analytics, Redial BPO aims to provide high-quality service while supporting community initiatives to make a positive impact.

501 - 1000 employees

🤝 B2B

📡 Telecommunications

☁️ SaaS

📋 Description

• We are seeking a Senior Developer to architect, build, and scale mission-critical automation systems and data pipelines for both internal operations and external client projects. • You'll be the technical leader driving our automation infrastructure, designing scalable services that process high-volume data flows and integrate cutting-edge ML/AI capabilities. • You'll work with modern cloud-native architecture (AWS preferred) and can integrate AI/ML agents into production workflows. • System Architecture & Development: Design and implement scalable automation services that handle both internal operations and external client integrations • Build and maintain sophisticated data pipelines for ingestion, transformation, and analysis at scale • Architect event-driven systems using webhooks, message queues, and real-time processing • Develop custom API connectors and integration layers for diverse third-party systems • Automation & Workflow Management: Design and deploy complex n8n workflows and custom automation solutions • Implement intelligent data routing and transformation logic across multiple systems • Build self-healing automation pipelines with comprehensive error handling and retry mechanisms • Create monitoring and alerting systems for proactive pipeline management • ML/AI Integration: Integrate machine learning models and AI assistants into production workflows • Build ML data pipelines for model training, validation, and deployment • Implement AI-driven decision making within automation workflows • Design feedback loops to continuously improve AI system performance • Infrastructure & Operations: Deploy and manage services in AWS cloud environments using infrastructure-as-code • Implement CI/CD pipelines for automated testing and deployment • Ensure data security, privacy compliance, and system reliability • Optimize system performance and cost efficiency at scale

🎯 Requirements

• 6+ years of software development experience with proven track record of building and scaling backend services in production • Expert-level proficiency in Python and/or JavaScript/TypeScript for automation, data processing, and API development • Deep experience with API design and integration (REST, GraphQL, OAuth 2.0, rate limiting, error handling) • Hands-on experience with workflow automation platforms (n8n, Zapier, Airflow, or similar) • Production AWS experience with services like Lambda, API Gateway, S3, RDS, CloudWatch, SQS, and Step Functions • Data & Architecture Skills • Strong background in designing event-driven architecture • Extensive experience with data pipeline development including ETL/ELT processes • Proficiency with data formats, transformation logic, and data quality management • Database expertise with both SQL and NoSQL systems • Container orchestration experience with Docker and preferably Kubernetes • Professional Skills • Proven ability to work independently and lead technical initiatives • Strong system design and architectural decision-making skills • Experience with agile development practices and collaborative workflows • Excellent problem-solving abilities with complex, distributed systems • Preferred Qualifications: Advanced Technical Skills • Machine Learning experience including model deployment, MLOps, and production ML pipelines • AI/LLM integration experience with OpenAI, Anthropic, or similar platforms • Advanced data analytics and visualization tools (Pandas, NumPy, visualization libraries) • Stream processing experience with Apache Kafka, AWS Kinesis, or similar technologies • Infrastructure-as-Code experience with Terraform, CloudFormation, or CDK • Specialized Knowledge • Data governance and compliance expertise (GDPR, SOC 2, HIPAA) • Performance optimization experience with high-throughput systems • Security best practices for API development and data handling • Monitoring and observability tools (DataDog, custom dashboards)