Technical Architect (Backend) (Bangalore East)

SymphonyAI; Bengaluru; Hybrid; INR 3,500,000 - 6,500,000; Full time

Benefits offered by this job

Flexible hybrid working model

Professional growth opportunities

Access to latest technologies

Job summary

SymphonyAI in Bengaluru seeks a Technical Architect to translate product goals into scalable, production-ready systems. You will lead hands-on Python development, design distributed microservices, and push for observability and performance.

Collaborating with engineering managers, data teams, and platform squads, you will reduce bottlenecks, boost reliability, and mentor engineers in coding best practices. A strong cloud, CI/CD, and data systems background is essential.

Qualifications

• 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: PostgreSQL, MongoDB, Elasticsearch; messaging systems: Kafka.
• 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 or NiFi).
• Exposure to Data/AI platforms (preferred).
• Strong focus on code quality, testing, and automation; GenAI tools familiarity.

Responsibilities

• Design scalable, fault-tolerant distributed systems using microservices architecture.
• Build observable, resilient, extensible systems by design.
• Actively contribute to core Python code and libraries; lead by example in coding standards.
• Drive performance tuning, load testing, and scalability improvements.
• Lead root cause analysis and implement long-term fixes; set guardrails for failure modes.
• Mentor engineers and raise engineering bar across teams.
• Collaborate with frontend, data, and platform teams for end-to-end features.

Skills

Python

Microservices

Concurrency

API design

PostgreSQL

MongoDB

Elasticsearch

Kafka

Kubernetes

Cloud platforms

Tools

Docker

CI/CD

Prometheus

Grafana

Kibana

Airflow

NiFi

Job description

Introduction

Job Title: Technical Architect

Overview

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, strong 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 explicit, 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 &

Qualifications

• 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 eventdriven architectures
• Strong 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
• Opportunity to make a tangible impact on cutting-edge Retail/CPG AI solutions

Hybrid/On-site Requirements

• Flexible hybrid working model

Diversity & Inclusion Statement

We are committed to building a diverse and inclusive team and encourage candidates from all backgrounds to apply.

About Us

SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today .