Design and define software architecture for enterprise-level applications, ensuring scalability, security, and performance
Lead technical design reviews and architecture decision-making processes across multiple projects
Evaluate emerging technologies, frameworks, and platforms to recommend optimal solutions for organizational needs
Collaborate with cross-functional teams including product management, development, and operations to ensure architectural alignment
Establish and enforce architectural standards, best practices, and coding guidelines across development teams
Mentor and provide technical guidance to software engineers and development teams on architectural principles and design patterns
Document architectural decisions, system designs, and technical specifications for clarity and future reference
Analyze complex business requirements and translate them into comprehensive technical solutions
Oversee the implementation of architectural standards and conduct code reviews to ensure compliance
Identify and mitigate technical risks and performance bottlenecks in system design
Stay current with industry trends and emerging technologies relevant to software architecture
8+ years of professional experience in software development and engineering
5+ years of demonstrated experience in a software architecture or senior technical leadership role
Strong expertise in software design patterns, system architecture, and enterprise application development
In-depth knowledge of microservices architecture and distributed systems design
Experience with API design, RESTful services, and integration patterns
Solid understanding of database design, both relational (SQL) and non-relational (NoSQL) databases
Strong knowledge of security best practices and secure software design principles
Proficiency in one or more programming languages such as Java, Python, or C++
Experience with frameworks and tools such as Spring Boot, Docker, and Kubernetes
Demonstrated ability to mentor and lead technical teams
Excellent analytical and problem-solving skills with strong attention to detail
Strong organizational and communication skills with the ability to articulate complex technical concepts.
Experience with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines (preferred)
Knowledge of performance optimization and scalability patterns (preferred)
Proficiency with cloud platforms preferably Google Cloud Platform
Experience with Google SDKs and AI.
Drive several GenAI projects for different business units from technical point of view
Turn vague ideas into runnable POCs/MVPs quickly, iterate with stakeholders/users, and help scale what works.
Build agent-based solutions (tool-using agents/workflows). Current toolset includes ADK and LangGraph (experience is a plus; strong fundamentals + motivation to learn is enough).
Contribute fullstack pragmatically: work across the stack, with depth in one area and willingness to learn the rest.
Technical Skills (Required)
Strong general dev fundamentals: clean code, modular design, solid debugging
Fast POC/MVP delivery: build demos quickly, Agile (Scrum) Mindset
API integration: consume/build REST APIs, auth basics, integrate services
Git and code reviews; testing basics
Basic CI / CD Skills
Fullstack DevOps Mindset (Everyone is responsible for CI / CD, terraform etc.)
GCP Skills: deploy a simple service using templates/guidance, read logs/metrics, basic IAM awareness
Hard Skills (Nice to have)
Python (or strong willingness to pick it up quickly)
Lightweight UI prototyping (Streamlit / minimal web UI) for demo-ready MVPs
Terraform (basic): can read configs and do small changes with support
GitHub Actions familiarity
Containers (Docker)
Agents / orchestration: tool/function calling, workflow/state, retries/error handling, evaluation
MLOps: CI/CD, automated deployment
ADK and/or LangGraph (optional)
Soft Skills (Required) — Motivation first
High motivation / strong inner drive: wants to learn, try, iterate, and improve fast
Product/outcome mindset (hypothesis ? experiment ? learn ? iterate)
Comfortable with ambiguity and context switching (multiple POCs in parallel)
Feedback culture: open to feedback and able to give it directly and kindly (e.g., “Your estimate seems high—can you share assumptions, so we align faster?”)
Pragmatic about processes: respects required governance, but avoids process for process’ sake (understands must-do vs nice-to-do; looks for lightweight compliant solutions)
Self-learning: Keeping up to date with state of the art technologies, frameworks and release from our main Technological partners like Google, Microsoft etc.
Strong stakeholder communication (proactive updates, no surprises)
