SymphonyAI - Technical Architect - Backend Development

SymphonyAI; Bengaluru; Hybrid; INR 4,000,000 - 6,000,000; Full time

Benefits offered by this job

Competitive salary and benefits

Flexible hybrid working model

Professional growth & development

Access to latest technologies

Impact on AI solutions

Job summary

SymphonyAI is seeking a Technical Architect to craft scalable, high‑performance systems with a Python‑first approach. You will design distributed architectures, drive performance improvements, and lead a team of engineers across multiple levels.

You will influence cross‑team collaboration, establish observability standards, and ensure end‑to‑end delivery of features for cutting‑edge AI solutions in Retail/CPG contexts.

Qualifications

• Strong hands-on Python programming, architecture, and debugging skills.
• Experience designing and scaling microservices-based distributed systems.

Responsibilities

• Design scalable, fault-tolerant distributed systems using microservices.
• Contribute hands-on Python development to core codebase and optimize performance.
• Lead performance tuning, RCA, and observability improvements across platforms.
• Mentor and lead a team of engineers across multiple levels.
• Collaborate with frontend, data, and platform teams to deliver end-to-end features.

Skills

Python

Microservices

Concurrency

API design

SQL/Postgres

NoSQL

Messaging systems

Cloud (AWS/GCP/Azure)

Docker/Kubernetes

CI/CD

Observability

Workflow orchestration

Job description

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.

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)