Staff Software Engineer

This role is for one of our clients Industry: B2B SaaS platform

Seniority level: Mid-Senior level

Min Experience: 8+ years

Location: Bengaluru

JobType: full-time

Working Model: Hybrid (Bangalore office) with required global overlap hours (Monday–Thursday, 8:00 PM – 11:30 PM IST)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We are a high-growth, Series D B2B SaaS platform that empowers revenue and growth teams worldwide to find, engage, and convert their ideal customers. Backed by top-tier global venture capital firms with over $250M in funding and a valuation exceeding $1.5B, our platform handles massive global scale, serving over 500,000 businesses and millions of active users. We are profitable, rapidly expanding, and actively rebuilding our entire product ecosystem around generative AI and autonomous agents.

Requirements Role & Mission

As a Staff Software Engineer , you will set the technical direction for the entire engineering organization. You will own our most critical, high-stakes, and ambiguous technical bets—decisions that will shape our product architecture and engineering trajectory for years to come. Acting as a force multiplier across multiple teams, your technical judgment and architectural standards will create an impact felt org-wide.

Key Responsibilities

Technical Direction: Own the architectural strategy for complex, ambiguous problems across team and organizational boundaries.

Multi-Year Architectural Bets: Make foundational platform decisions that scale our product over multiple years, taking full accountability for their long-term execution and reliability.

AI Platform Strategy: Drive the technical strategy to rebuild our platform around AI capabilities and autonomous agents, translating high-level vision into actionable execution plans.

Raise the Engineering Bar: Establish org-wide engineering standards, design patterns, and best practices that elevate overall system quality.

Force Multiplier: Multiply the output of senior engineers across the organization through design guidance, rigorous code/architecture reviews, and active mentorship.

Strategic Partnership: Partner as a peer with Engineering and Product leadership to align technology strategy with long-term business goals.

How We Work: AI-Native by Default

We expect our Staff Engineers to set the benchmark for what AI-native engineering looks like at the highest level. You will utilize AI agents and automated workflows to accelerate complex design, investigation, and implementation work. Beyond personal productivity, you will define the AI engineering practices adopted across the company and identify step-change bets where AI fundamentally reshapes how we build software.

What We Are Looking For

Org-Wide Impact: A proven track record of setting technical direction that shaped a product or platform across an entire engineering organization.

Distributed Systems Mastery: Deep technical expertise in distributed systems architecture, with a firm command of reliability, scalability, performance, and cost tradeoffs behind company-defining decisions.

Leadership Under Ambiguity: Excellent judgment to make high-stakes technical calls under ambiguity, along with the influence needed to align cross-functional engineering teams behind them.

Talent Multiplier: A strong record of mentoring, coaching, and elevating the capabilities of senior engineers around you.

AI Fluency: Genuine, hands-on fluency with AI-assisted software development and a clear vision for the future of AI in modern engineering practices.

Technical Stack

Frontend: React

Backend Languages: Ruby, Ruby on Rails, Python

Databases & Data Stores: MongoDB, Elasticsearch

Containerization & Orchestration: Kubernetes, Docker

Infrastructure & IaC: Terraform

Cloud Platform: Google Clo…