Tech Owner - Platform & AI Evolution

• Location: Bangalore (On-site, HSR Layout)
• Experience: 4–7 years (strong production experience required)
• Reports to: Founder
• Compensation: Competitive salary + meaningful equity

Context

• FrontPage is a financial markets community platform with ~1.5L DAU / 6L MAU, profitable with real subscription + ad revenue.
• It includes: Community systems, Real-time market data ingestion, Trading simulation, Mobile + web clients, Cloud infrastructure handling live user and market load. The system is stable, revenue-backed, and battle-tested under live market load.
• We are now entering an AI-first phase - using modern AI tooling to modernize, simplify, and expand the platform’s technical surface area.
• This role is about leading that transition. The best engineers in the next decade will not write the most code, they will shape systems using AI leverage.

Scope of Ownership

Stage 1: Platform Ownership

You fully own the technical health of FrontPage.

• Understand the architecture end-to-end
• Own reliability, performance, and correctness
• Handle incidents decisively (detect → fix → prevent recurrence)
• Maintain observability (metrics, logs, traces that actually help)
• Reduce hidden fragility and bus factor
• Authority to simplify, refactor, or redesign systems where necessary

Ownership here is about clarity and control - not maintenance.

Stage 2: AI-Driven Platform Expansion

We believe engineering leverage has changed. You will:

• Aggressively use modern AI development tools (Claude, GPT, Cursor, etc.) to refactor, simplify, and improve the platform.
• Improve cost–latency–correctness trade-offs across services
• Ship high-leverage experiments (retention, monetization, community quality)

Develop the instincts for building and evolving systems in the AI-first era on a real production system.

Stage 3: Building What Comes Next

Alongside FrontPage, we are incubating a new venture - an AI-first product in the personal finance domain. After demonstrating platform ownership and technical judgment, you will have the opportunity to:

• Contribute architecturally to this new product
• Design core systems from first principles
• Influence foundational technical decisions in a 0→1 environment
• Shape how AI-native systems are built from the ground up

Few engineers get to both operate a real system at scale and design a new one from scratch. This role offers both.

What You’ll Actually Work With

• Real-time data ingestion systems
• Backend services (Node / Python or equivalent)
• PostgreSQL (performance, correctness, schema design)
• Redis / caching / pub-sub patterns
• Cloud infrastructure (Azure / GCP / AWS)
• CI/CD and deployment pipelines
• Mobile and web API support

Stack matters less. More how you think about systems, failure modes, and leverage.

Who This Role Is For

• Owned production systems before. Care about clean architecture and long-term simplicity
• Think in systems: data flow, latency, failure modes
• Curious about how AI will reshape software engineering workflows over the next decade.

This role suits someone who wants to own an entire live platform, not contribute isolated features.

Who This Role Is NOT For

• Avoids production ownership
• Prefers tightly scoped tickets over system-level thinking
• Wants a pure greenfield build with no existing constraints

TL;DR

• Own a live platform with ~6L MAU and real revenue.
• Use modern AI dev tools to reshape a production system.
• Work directly with the founder on platform + 0→1 AI product.
• This role is for engineers who believe AI will change how serious systems are built and want to be early.

Happy to chat if this sounds interesting. On +91 990000 59697 / avijit[at]front[dot]page