Staff Back End Engineer

Job not on LinkedIn

November 26

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Logo of Qualifinds

Qualifinds

Recruitment • HR Tech

Qualifinds is a specialized recruitment company that focuses on optimizing the hiring process by integrating subject matter experts (SMEs) into the evaluation of candidates. The company aims to connect businesses with top talent efficiently, ensuring candidates are not only a great fit for the company culture but also possess the necessary technical knowledge for their roles. By providing comprehensive visibility into the hiring process, Qualifinds helps businesses organize and synchronize their recruitment efforts, allowing for intelligent decision-making and rapid growth.

11 - 50 employees

🎯 Recruiter

👥 HR Tech

📋 Description

• Own the entire backend architecture from day one—make the critical decisions on frameworks, databases, infrastructure, and patterns • Define technical standards and best practices for code quality, testing, documentation, and deployment • Lead system design for complex problems involving data ingestion, LLM orchestration, and real-time analytics • Mentor and guide future backend engineers as the team grows • Evaluate and adopt new technologies that improve velocity, reliability, or capabilities • Build and scale core backend systems to ingest, clean, and serve structured data at scale • Design clean, performant APIs to power our client portal, data tools, and internal services • Architect event-driven systems and asynchronous pipelines for reliability and scale • Own our infrastructure including CI/CD, observability, monitoring, and IaC (Terraform, AWS)

🎯 Requirements

• B.S in Computer Science or equivalent • 7+ years of backend engineering experience with at least 2+ years in a technical lead, staff, or principal role at a high-growth startup or product company. • Proven track record of mentoring engineers, leading technical initiatives, and making architectural decisions that scale. • Expert in Python with deep understanding of performance, concurrency, and design patterns. • Strong database expertise (PostgreSQL or similar) including query optimization, schema design, and data modeling • Deep knowledge of distributed systems including event-driven architectures, message queues, and async patterns (Celery, Kafka, SQS, etc.) • Production experience with AWS (or GCP/Azure) including compute, storage, networking, and managed services • Strong DevOps fundamentals: Docker, Kubernetes/ECS, Terraform, CI/CD, monitoring/observability • Data engineering fluency: ETL/ELT patterns, data lakes vs. warehouses, pipeline orchestration

🏖️ Benefits

• Meaningful equity • Competitive compensation • Remote-flexible culture with an HQ in NYC

Apply Now

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