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.

1. 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 “designit,proveit,andhelpbuildit”mindset.

1. 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.

1. 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.

1. 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.

1. 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.

1. 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, solid 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.

📌 Solution Architect (Thane)
🏢 thyssenkrupp Materials IT Services India
📍 Thane