Introduction
SymphonyAI is looking for a Technical Architect who combines deep Python expertise, strong computer science fundamentals, and hands-on engineering rigor to design and build scalable, high-performance 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 strong 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
- 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.
- Strong grasp of API design (REST/gRPC).
- Experience with data systems : SQL (Postgres) and NoSQL (MongoDB, Elasticsearch), Messaging systems (Kafka, Event Hubs, queues).
- Hands-on experience with cloud and infrastructure : AWS / Azure / GCP, Docker, Kubernetes, CI/CD pipelines.
- Familiarity with observability tools : Prometheus, Grafana, Kibana.
- Experience with workflow orchestration tools (Airflow, NiFi or equivalent).
Benefits
- Competitive salary and benefits package.
- Flexible hybrid working model.
- Opportunities for professional growth and development.
- Access to the latest technologies and tools.
- Opportunity to make a tangible impact on cutting-edge Retail/CPG AI solutions.
(ref:hirist.tech)
