Solution Architect

Your Responsibility: - 1. Solution & Technical Architecture- Own end-to-end solution architecture from business problem to production implementation.

• Translate business/product requirements into scalable technical solutions.
• Design application, integration, data, cloud and deployment architectures.
• Make pragmatic architecture decisions considering scalability, security, cost, performance and speed-to-market.
• Define APIs, intedaces, integration patterns and service boundaries.
• Evaluate build-vs-buy decisions and recommend appropriate technologies.
• Create architecture diagrams, technical specifications and Architecture Decision Records (ADRs).
• Identify technical risks early and develop practical mitigation approaches.

2. Hands-on Engineering- Remain sufficiently hands-on to prototype, code and troubleshoot solutions when required.

• Build proof-of-concepts for new technologies and product ideas.
• Review code and guide developers on engineering practices.
• Support teams in resolving complex technical and production issues.
• Establish coding standards, reusable components and engineering guardrails.
• Work closely with developers rather than operating as an architecture layer outside the engineering team.

The successful candidate should have a **“design*it,proveit,andhelp*build****it”**mindset.

3. Data Architecture & Data Modelling- Create conceptual, logical and physical data models.

• Define database structures, entities, relationships and data flows.
• Work with relational, NoSQL, time-series and/or event-driven data architectures as appropriate.
• Design solutions for ingestion, storage, processing and consumption of data.
• Consider data quality, governance, security, retention and scalability while designing solutions.
• Understand data architectures required for IoT, analytics and AI-enabled applications.

4. Mobile & Digital Application Architecture- Understand architecture patterns for modern mobile applications across iOS/Android and cross-platform environments.

• Design backend-for-frontend, API and authentication/authorization architectures supporting mobile applications.
• Understand push notifications, omine capabilities, device security, synchronization and mobile performance considerations.
• Design integration between mobile applications, cloud platforms, enterprise systems and connected devices.

5. IoT Architecture- Contribute to solutions involving connected devices, sensors, gateways and industrial IoT.

• Understand the flow from device/sensor gateway/edge connectivity cloud/IoT platform data application/analytics.

• Understand common IoT communication and messaging approaches such as MQTT, HTTP/REST and event streaming.

• Design secure device-to-cloud integration and device/data management approaches.

• Experience with industrial, manufacturing, energy, logistics, sustainability or asset-monitoring use cases would be advantageous.

6. AI & Agentic SDLC- Understand how AI and autonomous/agentic capabilities can be incorporated into modern software architecture.

• Have practical exposure to AI-assisted and Agentic Software Development Life Cycle (SDLC) approaches.
• Use AI coding assistants and software engineering agents appropriately across requirements, architecture, coding, testing, documentation and operations.
• Understand LLM/agent architecture concepts including APIs, orchestration, tool calling, context management, RAG and observability.
• Help establish appropriate governance and human oversight for AI-generated software.
• Identify opportunities where agentic workflows can improve developer productivity and accelerate product delivery.

7. Startup / Zero-to-One Product Development

The candidate should have meaningful experience working in environments where the technology organization was still being built.

Expected experience includes:

• Taking products from ideaprototypeMVPproductionscale.
• Working with incomplete or rapidly evolving requirements.
• Making technology choices without excessive dependency on established enterprise standards.
• Balancing technical debt against speed-to-market.
• Operating with small multidisciplinary teams.
• Working directly with founders, product leaders, customers and business stakeholders.
• Taking ownership beyond formal job boundaries when necessary.
• Building technology foundations that can mature as the business grows.

What We Are Looking For: -

Core capabilities- Solution Architecture

• Technical Architecture
• Software Engineering / Coding
• Data Modelling & Database Design
• API & Integration Architecture
• Cloud-native architecture
• Mobile Application Architecture
• IoT / Connected Device Architecture
• AI-enabled architecture
• Agentic SDLC
• DevOps / CI/CD understanding
• Security-by-design
• Architecture documentation and technical decision-making
• Startup / scale-up product development Technology Exposure

We are technology-agnostic and value architectural thinking over knowledge of a particular stack. However, strong exposure to several of the following would be beneficial:

Application: Java/Spring Boot, Python, JavaScript/TypeScript, Node.js, .NET or equivalent modern stacks.

Mobile: Native iOS/Android, Fluer, React Native or similar frameworks.

Data: SQL, PostgreSQL/MySQL, NoSQL, data modelling, event/data pipelines and time-series databases.

**Cloud:**Azure, AWS and/or GCP; containers, Kubernetes and serverless architectures.

Integration: REST APIs, GraphQL, event-driven architecture, message brokers and microservices.

**IoT:**MQTT, IoT gateways, edge computing, device management, telemetry and cloud IoT platforms.

AI/Agentic: LLM APIs, AI coding tools, agent frameworks, RAG, vector databases, observability and AI-assisted development workflows.