Introduction : Our solutions, hosted on our Iris Smart Manufacturing platform, combine equipment and process domain expertise in Mining & Metals, Oil & Gas, Chemicals & Petrochemicals with the state-of-the-art in data sciences, machine learning, and process optimization.The IRIS platform can work in hybrid mode and is built using a microservices architecture.The applications are containerised and run on Azure Kubernetes Service and use Azure blob storage, Data Lake, IoT Hub, Event Hub, Event Grid, and Queues.We are looking for a Technical Architect who combines deep Python expertise, robust computer science fundamentals, and hands-on engineering rigor to design and build scalable, high-performance systems.This is a high-ownership, high-impact role where the individual is expected to operate using first-principles thinking, be deeply hands-on with code, solve ambiguous, complex technical problems, and drive end-to-end architecture and execution.The architect will work closely with Engineering Managers, Directors, Product Managers, and cross-functional teams to translate high-level product goals into robust, scalable, and production-ready systems.What Success Looks Like : - Ability to take ambiguous problem statements and convert them into clear, executable technical plans.- Consistent delivery of high-quality, production-grade systems with solid reliability and performance.- Demonstrated impact in eliminating bottlenecks, improving system efficiency, and scaling platforms.- Strong influence across teams through clear technical communication and leadership.Responsibilities : Architecture & System Design : - Design scalable,



fault-tolerant distributed systems using microservices architecture.- Ensure systems are built with observability, resiliency, and extensibility by design.Hands-on Development (Python-first) : - Actively contribute to core codebases with high-quality, maintainable Python code.- Lead by example in coding standards, debugging, and performance optimization.- Build reusable frameworks, libraries, and internal platforms.Problem Solving & Performance Engineering : - Identify and resolve system bottlenecks (CPU, memory, I/O, network, DB).- Drive performance tuning, load testing, and scalability improvements.- Establish benchmarks and SLO-driven engineering practices.- Lead root cause analysis (RCA) and implement long-term fixes.- Design guardrails to prevent 99% of known failure modes.- Improve observability (metrics, logs, traces) across systems.Technical Leadership & Mentorship : - Lead a team of senior, mid-level, and junior engineers.- Mentor engineers in system design, coding best practices.- Raise the overall engineering bar across teams.Cross-Team Collaboration : - Work effectively with frontend, backend, data,



and platform teams.- Ensure features are implemented end-to-end in a cohesive and scalable manner.- Communicate technical concepts clearly to both engineers and leadership.Required Skills & Qualifications : - 4 to 7 years of strong hands-on experience in Python (design, debugging, performance tuning).- Experience building and scaling microservices-based distributed systems.- Deep understanding of concurrency, parallelism, async processing, and event-driven architectures.- Solid grasp of API design (REST/gRPC).- Experience with data systems : SQL (Postgres) and NoSQL (MongoDB, Elasticsearch), Messaging systems (Kafka, Event Hubs, queues), data-intensive systems and pipelines.- Hands-on experience with cloud and infrastructure : AWS / Azure / GCP, Docker, Kubernetes, CI/CD pipelines.- Familiarity with observability tools : Prometheus, Grafana, Kibana (or similar).- Experience with workflow orchestration tools (Airflow, NiFi or equivalent).- Exposure to Data / AI platforms (preferred).- Strong focus on code quality, testing, and automation.- Comfortable using GenAI development tools (e.g., Cursor, Copilot) to improve productivity.- Experience in working with Ontology/Knowledge Graph in any complex data ecosystem is a huge plus.Compensation & Benefits : - Competitive salary and benefits package.- Flexible hybrid working model.- Opportunities for professional growth and development.- Collaborative and inclusive work environment.- Access to the latest technologies and tools.- Chance to make a tangible impact on cutting-edge Retail/CPG AI solutions.Diversity & Inclusion Statement : - We are committed to building a diverse and inclusive team and encourage candidates from all backgrounds to apply. (ref:hirist.tech)

📌 SymphonyAI - Technical Architect - Backend Technologies (Bengaluru)
🏢 SymphonyAI
📍 Bengaluru