Technical Architect (Backend)

SymphonyAI; Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Flexible hybrid working model

Access to latest technologies

Professional growth opportunities

Collaborative and inclusive work env

Job summary

SymphonyAI is building the leading enterprise AI SaaS platform across retail and manufacturing industries. We seek a senior technical leader to drive architecture, system design, and hands-on development in a hybrid work environment.

You will architect scalable distributed systems, contribute high-quality Python code, mentor engineers, and collaborate with cross-functional teams to deliver production-grade platforms with strong observability and performance.

Qualifications

• Strong hands-on experience with 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 API design skills (REST/gRPC).
• Experience with SQL and NoSQL databases, messaging systems, and data pipelines.
• Cloud and infrastructure experience (AWS/Azure/GCP), Docker, Kubernetes, CI/CD Pipelines.
• Familiarity with observability tools (Prometheus, Grafana, Kibana).
• Exposure to Data/AI platforms is a plus.
• Strong focus on code quality, testing, and automation.

Responsibilities

• Architect scalable, fault-tolerant distributed systems using microservices.
• Ensure observability, resiliency, and extensibility by design.
• Actively contribute Python code and lead by example in coding standards and performance.
• Build reusable frameworks, libraries, and internal platforms.
• Identify and resolve system bottlenecks and drive performance improvements.
• Lead RCA and implement long-term fixes; design guardrails for failures.
• Lead and mentor a team of engineers across levels; raise engineering bar across teams.
• Collaborate with frontend, data, and platform teams to deliver end-to-end features.

Skills

Python

Microservices

Concurrency

API design

Cloud computing

Docker

Kubernetes

Observability

Data/AI platforms

Team leadership

Tools

Docker

Kubernetes

CI/CD

Prometheus

Grafana

Airflow

Job description

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.

Introduction

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.

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

Job Description

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 serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries.