Technical Architect

The core responsibilities for the job include the following:
Architectural Leadership:
Own architectural decisions for web applications, APIs, and microservices, in consultation with engineering leadership, ensuring scalability, reliability, and maintainability.
Drive end-to-end technical quality: code standards, design reviews, NFR (non-functional requirements) definition, and realization from architecture through deployment.
Lead architecture definition for SaaS products, including multi-tenancy, extensibility, and platform scalability, ensuring alignment with the long-term product roadmap.
Identify and mitigate technical risks early; escalate proactively to ensure sprint and delivery commitments are protected.
Lead the design and scaling of SaaS applications, driving best practices around API design, service decomposition, data modeling, and platform architecture.
Build and scale large-scale, data-driven products typical of analytics and competitive intelligence domains, with a focus on performance, reliability, and domain-specific use case delivery.
Ensure production readiness: capacity planning, performance tuning, observability, and incident response readiness for all solutions delivered.
AI-Native Development (Mandatory):
Embed and drive adoption of AI-native practices across the full engineering lifecycle, from technical design and solution architecture to code generation, review, quality assurance, and deployment.
Champion the use of AI-assisted development tools (e. g., Claude, Cursor, GitHub Copilot) as standard practice within the team, not optional augmentation.
Exposure to designing and building functional agents and developer productivity agents to automate repetitive engineering tasks, including health checks, auto-healing workflows, and support use cases for platform components.
Requirements:
10+ years of core software development experience, with significant tenure in product-based companies.
Proven track record leading engineering teams in dynamic, fast-paced, customer-focused environments with rapid release cycles.
5+ years of experience architecting server-side web applications, REST APIs, and microservices at scale.
Demonstrated experience building and scaling SaaS products, including multi-tenancy, subscription models, and platform extensibility.
Experience building large-scale, data-driven products in analytics or competitive intelligence domains, domain-specific data apps, insight platforms, or similar.
AI-Native and Productivity Engineering (Mandatory):
Hands-on, production-grade experience with AI-assisted development tools like Claude, Cursor, GitHub Copilot, or equivalent across design, development, and review workflows.
Proven experience building or operating developer productivity agents for recurring engineering tasks: health checks, auto-healing, and platform support automation.
Familiarity with agent frameworks, prompt engineering, LLM orchestration, and integrating AI tooling into CI/CD and developer workflows.
Technical Stack:
Languages: Strong proficiency in Python and related frameworks.
Databases: Strong SQL and NoSQL exposure, including index management, partitioning, system catalogs, and SQL query tuning.
DevOps: Docker, Kubernetes
Data: Experience with data pipelines, distributed message queues, and stream processing.
Cloud: Experience creating and managing cloud infrastructure for application deployment and scale.
Documentation: Proficient in producing architecture views, technology architecture blueprints, and design specifications.

Experience
10-14 yrs