Solution Architect We are looking for an experienced Solution Architect to lead the design and implementation of scalable, high-performance Python and cloud-native backend systems. This role balances hands-on technical execution with high-level architectural design, leading engineering teams to build resilient, event-driven microservices that translate complex business needs into production-ready software solutions.

Define High-Level Design (HLD) and Low-Level Design (LLD) specifications, data models, and service boundaries.

Evaluate and manage system trade-offs between speed, cost, performance, availability, and security.

Lead a team of engineers and drive the end-to-end software development lifecycle (SDLC) from discovery to production deployment.

Collaborate closely with product, QA, and DevOps teams for seamless execution and timely delivery.

Take complete ownership of engineering deliverables and unblock team members to ensure alignment with project milestones.

Backend Development & Cloud Engineering

Design and develop robust RESTful and GraphQL APIs using Python frameworks (FastAPI, Django, Flask).

Work extensively with relational databases (PostgreSQL) and NoSQL systems (MongoDB, Redis).

Develop and deploy cloud-native applications on AWS or Azure using serverless compute (AWS Lambda) and container orchestration (Docker, Kubernetes / EKS).

Quality, Observability & Governance

Conduct thorough code reviews, enforce strict coding standards, and actively reduce technical debt.

Implement end-to-end observability, including logging, monitoring, metrics, and alerting frameworks (Datadog, Prometheus).

Ensure non-functional requirements—performance, security, fault tolerance, and low latency—are built into every solution.

Mentor and guide junior and mid-level engineers to foster continuous technical growth.

Create and maintain comprehensive technical documentation,



architecture decision records (ADRs), and developer guides.

Experience: 8–12 years in software engineering with a strong background in backend delivery and system design.

Python Mastery: Deep knowledge of core Python (decorators, generators, async programming, AsyncIO, and concurrency).

API & Backend Frameworks: Proven hands-on track record building enterprise APIs using FastAPI, Django, or Flask.

Microservices & System Design: Strong experience with microservices architecture, event-driven systems, and messaging queues (Kafka, SQS, RabbitMQ).

Cloud & Containers: Hands-on experience with AWS and/or Azure services (Lambda, EKS, ECS), containerization (Docker), and CI/CD automation pipelines.

Databases: Practical experience with PostgreSQL and NoSQL database query optimization.

Excellent communication and collaboration skills with a proven ability to own and drive projects independently.

Experience designing and consuming GraphQL APIs.

Exposure to observability and monitoring suites (Datadog, Prometheus, Grafana).

Practical exposure to AI/ML integrations, Generative AI workflows, or LLM-based microservices.

Knowledge of multi-cloud architectures and hybrid enterprise setups.

Languages & Frameworks

Core Python, FastAPI, Django, Flask, Node.js (Optional)

Cloud & Containers

AWS (Lambda, EKS, ECS, S3, RDS), Azure, Docker, Kubernetes, Helm

Apache Kafka, RabbitMQ, AWS SQS, EventBridge

Databases

PostgreSQL, MySQL, MongoDB, Redis

DevOps & CI/CD

Jenkins, GitHub Actions, Terraform, Azure DevOps

Datadog, Prometheus, Grafana, AWS CloudWatch

buy decisions for cloud services and developer tooling.

Engineering culture around clean code practices, automated testing, and cloud-native system design.

Technical mentorship and hiring standards for backend and platform engineering teams.

We celebrate diversity and are committed to creating an inclusive workplace for all employees

📌 Solution Architect - DevOps + AWS (Chennai)
🏢 Intellect Design Arena
📍 Chennai