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Technical Architect

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  • Posted 9 hours ago
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Job Description

Role: Technical Architect

Experience: 8.5 years

Location: Bangalore (Bannegata road)

Work mode- Hybrid (3 days work from office)

Apply Here - https://forms.gle/zNLCNwsfoPNyuXBf9

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.

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About Company

Job ID: 149070643

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