Staff Software Engineer

Posted 16 Days Ago
Be an Early Applicant
Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
8M-12M Annually
Senior level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Set organization-wide technical direction, own multi-year architecture decisions, and lead the platform’s transition toward generative AI and autonomous agents. Establish engineering standards, guide architecture and code reviews, mentor senior engineers, and partner with Engineering and Product leadership. The role requires deep distributed-systems expertise, strong judgment under ambiguity, and the ability to drive scalable, reliable, high-performance systems across teams.
Summary Generated by Built In

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.


RequirementsRole & 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

Skills Required

  • 8+ years of software engineering experience
  • Proven organization-wide impact setting technical direction for products or platforms
  • Deep expertise in distributed systems architecture, reliability, scalability, performance, and cost tradeoffs
  • Strong system architecture skills
  • Excellent technical judgment and leadership under ambiguity
  • Experience influencing and aligning cross-functional engineering teams
  • Track record of mentoring, coaching, and elevating senior engineers
  • Hands-on fluency with AI-assisted software development
  • Kubernetes experience
  • Experience with React
  • Experience with Ruby or Ruby on Rails
  • Experience with Python
  • Experience with MongoDB and Elasticsearch
  • Experience with Docker, Terraform, and Google Cloud Platform
  • Generative AI and AI agent experience
  • Ability to work Monday through Thursday from 8:00 PM to 11:30 PM IST for global overlap
  • Ability to work hybrid from the Bengaluru office
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The Company
HQ: Stockholm
Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.

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