Role Overview :

We are looking for a seasoned Technical Architect to lead engineering excellence across our web application stack. This is a hands-on architectural leadership role, you will own end-to-end technical quality, drive scalable SaaS product design, champion AI-native development practices, and enable developer productivity through intelligent tooling and automation. You will work closely with engineering leadership, product teams, and cross-functional stakeholders to deliver high-impact solutions in a fast-paced, customer-obsessed environment.

Roles & Responsibilities :

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 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 modelling, 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, drive adoption 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.

Skills & Experience Required :

Core Experience :

- 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 & Productivity Engineering (Mandatory) :

- Hands-on, production-grade experience with AI-assisted development tools 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, 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, 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.

What We Value :

- Inclusive, roll-up-your-sleeves work ethic willing to participate in daily workloads when it matters.

- Eagerness to learn, experiment, and adopt new technologies especially at the intersection of AI and software engineering.

- Clear, structured communicator, able to translate complex technical decisions for both engineering and business stakeholders.

- A builder's mindset : you think in systems, care about outcomes, and take pride in what ships.