Associate Architect

Amiseq Inc.; Chennai; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Amiseq Inc. seeks an Associate Architect in Chennai to bridge hands-on coding and high-level system design.

You will collaborate with Principal Architects, Tech Leads, and Engineering Managers to shape distributed systems on modern cloud platforms. The role demands deep cloud experience, strong software engineering fundamentals, and the ability to lead, model data, and drive architecture decisions across teams.

Qualifications

• 7+ years of hands-on software engineering using Python or similar languages.
• Experience designing distributed systems and cloud architectures.
• Strong knowledge of APIs (REST/GRPC/GraphQL) and SDLC practices.

Responsibilities

• Draft architectural blueprints and evaluate tech stacks.
• Balance performance, security, scalability, and cost across cloud services.
• Define and enforce coding standards and API design.
• Write production-grade code in Python or similar.
• Build PoCs to test new technologies and benchmark performance.
• Design cloud applications on AWS or Azure using microservices and containers.
• Establish IaC, CI/CD pipelines, and deployment strategies.
• Model data with relational and NoSQL schemas.
• Mentor engineers on clean architecture and system resilience.

Skills

Python

Distributed computing

Cloud platforms

Data modeling

DevOps

SDLC mastery

Communication

Tools

Docker

Kubernetes

Terraform

CloudFormation

GitHub Actions

Azure DevOps

Apache Kafka

REST/GRPC/GraphQL

Job description

Job Description: Associate Architect

Role Title: Associate Architect

Department: Intelligent Automation

Location: Chennai, India

Employment Type: Full-Time

Experience Level: Mid-to-Senior Level (7 to 12 years)

About the Role

We are seeking a high-performing Software Engineer transitioning into Architecture (Aspirant Architect). In this pivotal role, you will bridge the gap between hands-on code execution and high-level architectural design.

You will work directly alongside Principal Architects, Technical Leads, and Engineering Managers to architect, evaluate, and scale distributed systems on modern cloud platforms. This role is built for a senior-level developer with strong software engineering fundamentals, deep cloud and distributed systems experience, and a passion for system design, data modeling, and technical leadership.

Key Responsibilities

1. Architectural Design & Technical Leadership

• Assist in drafting architectural blueprints, tech stack evaluation documents, and Architecture Decision
• Perform trade-off analyses balancing performance, maintainability, security, scalability, and operational costs across cloud services and codebases.
• Help define and enforce coding standards, API specifications (REST/gRPC/GraphQL), and design patterns across delivery teams.

2. Hands-on Engineering & Prototyping

• Write production-ready, highly maintainable code (primarily using Python or equivalent modern languages).
• Build Proofs-of-Concept (PoCs) to test emerging technologies, validate architectural hypotheses, and bench-test performance bottlenecks.
• Troubleshoot complex, non-deterministic bugs and failure modes in distributed production environments.

3. Cloud Infrastructure & DevOps Integration

• Architect resilient, highly available cloud applications on AWS or Azure using microservices, serverless, and containerized topologies.
• Collaborate with DevOps engineers to establish Infrastructure as Code (IaC), continuous integration/continuous delivery (CI/CD) pipelines, and deployment strategies (Canary, Blue/Green).
• Integrate full-stack observability (logging, metrics, distributed tracing) into software architecture from inception.

4. Data Modeling & System Design

• Design efficient relational (SQL) and non-relational (NoSQL) schemas optimized for read/write access patterns, storage efficiency, and data integrity.
• Implement event-driven and streaming architectures using message brokers (e.g., Apache Kafka, RabbitMQ, AWS SQS/SNS, Azure Event Grid).

5. SDLC Execution & Engineering Mentorship

• Champion the end-to-end Software Development Life Cycle (SDLC)from threat modeling and capacity planning to post-launch monitoring.
• Conduct high-impact code and design reviews, mentoring mid-level and junior engineers on clean architecture, principles, and system resilience.

Required Qualifications & Skills

Technical Competencies

• Software Development: 7+ years of hands-on software engineering experience using Python or similar languages (Go, Java, C#).
• Distributed Computing: Proven experience designing and operating distributed systems. Strong understanding algorithms, caching strategies (Redis/Memcached), load balancing, and fault-tolerance patterns (Circuit Breakers, Bulkheads).
• Cloud Platforms: 3+ years of building and deploying production workloads on AWS (e.g., EKS/ECS, Lambda, DynamoDB, RDS, S3) or Azure (e.g., AKS, Azure Functions, Cosmos DB, Azure SQL).
• Data Modeling: Proficiency in designing data schemas) and database migrations, and query optimization.
• DevOps & IaC: Hands-on experience with containerization (Docker, Kubernetes), IaC tools (Terraform, CloudFormation, or Bicep), and automated pipeline tools (GitHub Actions, GitLab CI, Azure DevOps).
• Full SDLC Mastery: Practical exposure to complete software life cycles, agile methodologies, secure coding practices (OWASP top 10), and automated testing frameworks (Unit, Integration, E2E).

Behavioral & Aspirant Attributes

• Architecture Mindset: Strong grasp of software design philosophies (Domain-Driven Design, SOLID principles, 12-Factor App methodology, Clean Architecture).
• Communication: Ability to explain complex technical trade-offs clearly to non-technical stakeholders and write concise technical documentation.
• Continuous Learner: Eagerness to evolve from feature implementation to enterprise-wide system strategy.

Preferred / Nice-to-Have

• AWS Certified Solutions Architect (Associate/Professional) or Microsoft Certified: Azure Solutions Architect Expert.
• Experience with data engineering pipelines (Airflow, Spark, or similar).