Staff Software Engineer
Bengaluru · Staff/Principal
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Job description
Staff Software Engineer
Weekday AI · Bengaluru, India (Hybrid) · Full-time · Posted 2026-09-23
Salary: INR 8,000,000–12,000,000
Workplace: hybrid
Department: Weekday's Client via platform
Description
This role is for one of Weekday’s clients
Salary range: Rs 8000000 - Rs 12000000 (ie INR 80 - 120 LPA)
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)
About the Company
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 Cloud Platform (GCP)
Work Schedule & Overlap Requirements
Setup: Hybrid arrangement based out of our Bangalore office.
Hours: Ability to work required global overlap hours from Monday through Thursday, 8:00 PM – 11:30 PM IST.
Must-have skills
Distributed Systems, System Architecture, Kubernetes
Good-to-have skills
AI, Generative AI, AI agents
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