Job category

- IT&S;
- Experience level
- Senior
- Relocation available
- This role is eligible for relocation within country
- Job type
- Professionals
- Travel required
- No travel is expected with this role
- Job code
- RQ111008

Role Overview

We are looking for a hands-on System Architect with 10 to 12+ years of experience who can actively design, build, and deliver scalable enterprise solutions. This role goes beyond architecture governance - you will be deeply involved in implementation, integration, and problem-solving across SaaS, non-SaaS, AI, and web service ecosystems.

You will work closely with engineering teams to turn architecture into working systems, ensuring high-quality, performant, and secure solutions.

Key Responsibilities

1. Hands-On Architecture & Development

- Design and implement end-to-end architecture solutions (not just diagrams)
- Contribute to code, POCs, and critical modules (APIs, integrations, services)
- Build reusable frameworks, accelerators, and integration patterns
- Fix complex production issues and provide root-cause solutions

- Integration Engineering (Core Focus)

- Design and develop integrations across:

- SaaS platforms (e.g. Workday, Salesforce, etc.) On-prem legacy systems. AI/ML services and data platforms. Build and manage:. REST/SOAP APIs. Microservices. Event-driven systems (Kafka, queues). Work with middleware tools (MuleSoft, Boomi, or similar) or build custom integration layers.

1. Cloud-Native Development

- Architect and deploy solutions on AWS / Azure / GCP
- Develop cloud-native services (serverless, containers, microservices)
- Work on CI/CD pipelines, infrastructure-as-code, and deployment automation
- Optimize performance, scalability, and cost.

- AI & Up-to-date Tech Enablement

- Awareness of emerging AI architecture models




- Build data flows for real-time and batch processing
- Evaluate and implement emerging technologies pragmatically (not hype-driven)
- Implement responsible AI practices:

- Data privacy and security
- Bias mitigation and explainability
- Experience exposing AI capabilities via APIs/microservices for enterprise consumption
- Familiarity with MLOps concepts (model lifecycle, monitoring, versioning)
- Ability to identify where AI adds real value vs where it’s unnecessary (this is a big differentiator)

1. Code Quality & Engineering Excellence

- Enforce coding standards, design principles, and best practices
- Perform code reviews and guide teams on implementation approaches
- Ensure observability (logging, monitoring, tracing) is built into systems

- Collaboration & Delivery

- Work closely with product owners and stakeholders to translate requirements into working solutions
- Partner with developers, DevOps, and QA teams to ensure smooth delivery
- Act as the go-to technical expert during critical releases

Required Skills & Experience

- 10 to 12+ years in software engineering with strong hands-on development background

- Proven experience building and integrating:

- SaaS and non-SaaS systems

- APIs and microservices architectures

- Robust coding experience in at least one major language: Java / Python / Node.js (or similar)

- Experience with:

- Integration platforms (MuleSoft, Boomi,



or custom-built)

- Messaging systems (Kafka, RabbitMQ, etc.)

- Solid cloud experience (AWS / Azure / GCP)

- Deep understanding of:

- REST/SOAP, authentication (OAuth2, JWT)

- Data formats (JSON, XML)

- System design and scalability

Preferred Certifications

- TOGAF (nice-to-have, not mandatory for hands-on roles)
- AWS / Azure / GCP Solution Architect
- Integration certifications (MuleSoft, Boomi)

What We’re Really Looking For

- Someone who still enjoys coding and solving real engineering problems
- Not afraid to jump into debugging or build a quick POC
- Balances clean architecture with practical delivery
- Can challenge poor design decisions with solid reasoning

Software Engineer with strong experience in cloud native and serverless architectures . The role involves building scalable, secure, and high-performance backend systems using AWS , Node.js , and Python , while collaborating closely with multi-functional teams.

Key Responsibilities

- Design, develop, and maintain serverless and containerized backend services on AWS. Build and manage AWS Lambda, Fargate/ECS , and related cloud components.
- Develop RESTful and event driven APIs using Node.js and Python. Design scalable, fault tolerant, secure architectures
- Collaborate with Product, Frontend, and DevOps teams. Write clean, maintainable, and well tested code. Participate in system design, architecture, and code reviews
- Optimize performance, reliability, and cost on AWS. Implement security best practices, monitoring, and logging. Support CI/CD pipelines and deployment automation

Required Technical Skills

Cloud & Backend

- AWS services**:Lambda, Fargate/ECS, API Gateway, IAM, CloudWatch, S3, DynamoDB/RD

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