Introduction SymphonyAI is at the forefront of innovation leveraging cutting-edge artificial intelligence and machine learning technologies to transform industries and drive business growth As a global leader in AI-powered solutions we empower organizations to harness the full potential of data-driven insights SymphonyAI enterprise applications rapidly deliver transformative business value across retail CPG financial services manufacturing media Enterprise IT SymphonyAI Summit and the public sector SymphonyAI combines unrivalled AI technology vertical expertise and industry-specific data and insights into applications that drive the highest value for customers We are one of the largest and fastest growing AI portfolios We are on a mission to build a World Class Engineering Team with a high-performance culture Our Iris Smart Manufacturing platform combines deep industrial expertise with advanced data science and machine learning It aggregates data from IT and OT systems into a unified namespace builds knowledge graphs runs intelligent AI models and powers LLM-based copilots for intelligent insights Designed for hybrid deployment the platform runs both on-premises and across Azure AWS and GCP clouds We embrace DevOps culture and microservices architecture using technologies like Python Docker Kubernetes TimescaleDB Elasticsearch MinIO Delta Lake MLFlow Kubeflow NiFi Prometheus and Grafana We are looking for a Python backend engineer experienced in design and implementation of distributed architectures and cloud-native development with a performance-first mindset that guides every design and implementation decision You ll translate product requirements into efficient scalable and maintainable systems write high-quality code and uphold engineering excellence The ideal candidate combines deep technical expertise with delivery discipline thrives in ambiguity and mentors others in an agile collaborative environment Key Responsibilities Design and implement scalable backend services and APIs using Python and modern frameworks Translate complex requirements into technical designs and own delivery from design to production Contribute to making the platform cloud-agnostic across Azure AWS and GCP Build and optimize CI CD pipelines and monitoring systems Debug and resolve Production issues efficiently Collaborate across teams to ensure timely high-quality releases Required Skills and Qualifications 6 years of hands-on backend development primarily in Python Java a plus Proven experience designing implementing and documenting API-based services Flask FastAPI Swagger Strong background in system design asynchronous processing messaging systems Kafka RabbitMQ or similar and distributed systems Proficiency with databases such as PostgreSQL Elasticsearch and related data modelling Experience with Docker Kubernetes and CI CD pipelines Solid debugging and problem-solving skills in production environments Experience in Agile Scrum delivery and mentoring small teams Excellent communication ownership and critical thinking abilities Preferred Qualifications Familiarity with OAuth2 OpenID Connect and IAM systems Exposure to MLOps tools Model Registry Feature Store MLFlow Seldon Experience with at least one Cloud environment Azure AWS or GCP Understanding of LLM and OpenAI APIs Prior experience using GenAI productivity tools effectively in development About Us Why Join SymphonyAI Opportunity to work with cutting-edge AI technology in a dynamic and innovative environment Collaborative and inclusive company culture Competitive compensation and benefits package Professional growth and development opportunities