Principal Software Engineer – Data Backend

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• Own the architecture and delivery of major data-intensive backend products or platform initiatives • Design and build scalable systems for batch and stream processing, data ingestion, orchestration, semantic systems, ontology layers, analytics, query processing, and data products • Drive system design decisions focused on scalability, reliability, maintainability, observability, performance, and data quality • Remain hands-on with critical code, technical designs, architecture reviews, and production systems • Establish engineering standards for code quality, testing, operability, reliability, and system design • Identify and implement performance and cost optimizations across distributed compute, storage, querying, and data-serving layers • Provide technical direction across multiple engineering teams while remaining involved in implementation and delivery • Lead organization-wide or cross-functional technical initiatives from strategy and design through execution • Mentor senior and staff-level engineers and strengthen engineering practices, technical judgment, and system-design capabilities • Drive cross-team technical alignment and resolve complex architectural and engineering challenges • Evaluate technology choices and architectural trade-offs for high-scale data and backend systems • Improve system observability, reliability, operational maturity, and production readiness • Identify opportunities to improve engineering efficiency, system performance, and long-term maintainability

🎯 Requirements

• 12–17 years of software engineering experience, with sustained Staff+ or Principal-level technical scope • Proven experience building high-scale, data-intensive software products or distributed systems from the ground up and operating them in production • Exceptional coding ability with strong standards for code quality, testing, reliability, operability, and maintainability • Deep expertise in distributed systems, backend architecture, data systems, and performance engineering • Strong understanding of scalability, fault tolerance, distributed computation, storage, querying, and system performance trade-offs • Demonstrated ability to lead large technical initiatives spanning multiple teams without relying on formal management authority • Ability to influence technical strategy and architecture while remaining deeply involved in implementation • Strong mentoring capabilities with a track record of raising the technical bar for senior engineers • Experience working with open-source technologies and building systems around open-source components is strongly preferred • Strong understanding of software engineering principles beyond simply assembling managed cloud services • Relevant experience with distributed query or analytics engines, large-scale batch or stream processing systems, data-intensive backend platforms, data products and serving systems, high-performance ingestion infrastructure, semantic or ontology platforms, distributed storage and compute systems, performance-oriented data processing systems, or open-source distributed systems and infrastructure • Must-have skills: Distributed Systems, Software Architecture, Backend Engineering • Good-to-have skills: Apache Kafka, Query Optimization, Open Source