Rapidly Growing Company Jobs

1,207,159 open positions · Updated daily

Rapidly Growing Company roles are in high demand because these firms scale quickly, innovate in AI/ML, and deploy cloud‑native architectures. Hiring managers seek engineers who can ship at scale, so the competition is fierce but the learning curve is steep and rewarding.

Positions span from Cloud Infrastructure Engineers using Terraform and Kubernetes to Data Scientists building AutoML pipelines on Snowflake and Databricks. Backend developers work with Go and Rust in microservices, while Frontend engineers focus on React and TypeScript to deliver real‑time dashboards.

Salary transparency ensures you know exactly what a Senior Kubernetes Administrator earns, or how much a Lead Data Engineer can command. In a sector where compensation can vary by 30% based on tooling choices and certification, seeing the pay band upfront eliminates guesswork and aligns your career trajectory with market reality.

Sales & Partnership Development Associate

Company: Integrated Hire

Location: Anywhere in the world

Posted Nov 17, 2025

Integrated Hire is a company that helps US businesses grow by building high-performing remote teams. They are looking for referral partners to earn commission by introducing business owners to their services. The role is commission-only, flexible, and offers unlimited earning potential.

Internet Measurement and Geolocation Software Engineer (L5)

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Open Connect group builds and manages a content delivery network that delivers streaming video and leverages physical infrastructure. The GNI team focuses on mapping devices to real-world locations and leveraging network insights to improve the business while protecting member privacy.

Software Engineer L5 - GenAI Platform

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company provides a data platform for various business functions, enabling data-driven decisions. The GenAI Platform team aims to boost productivity by providing tools for building GenAI applications. Netflix offers comprehensive benefits and promotes diversity and inclusion.

Data Scientist (L5) - Customer Service

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company values data science and customer service to deliver top-notch experiences aligned with its business strategy. The role involves leading the evolution of customer service metrics, partnering with various teams, and expanding the use of metrics across Netflix.

Network Security Engineer L5

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading global entertainment service with a diverse network infrastructure. They are seeking a skilled Network Security Engineer to design, implement, and maintain secure network infrastructure across various environments. The role involves collaborating with technical teams, driving continuous improvement in network and content security, and fostering a culture of security awareness.

Staff Product Designer - Design Systems (TV)

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company is seeking a tenured System Designer to take ownership of their expanding TV Design System within Hawkins, a centralized design system that supports Netflix's Consumer business. The role involves owning the long-term vision and strategy for the TV design system, partnering with cross-functional leadership, developing scalable adoption strategies, and establishing design system standards and processes.

Software Engineer L5 - Build and Release Tools, Machine Learning Platform

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Model Observability & Lifecycle Management teams provide a centralized MLOps platform to multiply productivity for ML researchers. The Build and Release group is building a monorepo environment for ML engineers and researchers, seeking strong build engineers with experience in B&R best practices at scale.

Data Scientist - Ads

Company: Reddit

Location: Remote

Posted Nov 17, 2025

Reddit is a remote-friendly company with a flexible workforce. The company's primary revenue driver is advertising, and they aim to build a massive business. The Ads Data Science team leverages data to maximize advertiser value and improve the advertising platform. The role involves analyzing large datasets, developing ML models, and collaborating with stakeholders to drive impact.

Senior Search Lead - Technology

Company: Canonical

Location: Remote

Posted Nov 17, 2025

Canonical is a leading provider of open source software and operating systems. They have a global distributed team and a unique hiring process. The company is founder-led, profitable, and growing. They are looking for an experienced Tech-focused in-house search consultant to teach senior executives how to source talent for senior leadership roles.

Junior Software Developer - Observability

Company: Canonical

Location: Remote

Posted Nov 17, 2025

Canonical is a leading provider of open source software and operating systems. They offer a cloud-native monitoring stack for applications running on various cloud technologies. The company values collaboration, innovation, and diversity.

QA Test Lead

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. They are seeking an experienced QA Test Lead to join their Netflix Games Studio and oversee the quality assurance of their video game releases. The role requires strong testing expertise, project management skills, and a deep understanding of Android and iOS devices. The ideal candidate will lead a team of QA testers, develop test plans, and ensure games meet Netflix's quality standards.

Research Scientist/Engineer L5/L6 - AI for Member Systems

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company invests in understanding members and building personalized experiences to help them find their next favorite story. Applied machine learning research at Netflix drives various aspects of the business, including personalization, recommendations, search, content understanding, messaging, targeting, new member acquisition, and more. The company seeks exceptional individuals to join their team as full-time research scientists to drive applied research and develop production-ready systems.

Frequently Asked Questions

What are the typical salary ranges by seniority for Rapidly Growing Company roles?
Entry‑level Software Engineer: $90k–$110k. Mid‑level Engineer: $120k–$150k. Senior Engineer: $160k–$200k. Lead Engineer: $210k–$260k. Cloud Engineer ranges $100k–$140k, Data Scientist $110k–$170k, and Product Manager $130k–$190k.
What skills and certifications are required?
Core skills: Terraform, Kubernetes, AWS, GCP, Azure, Go, Rust, Python, SQL, Snowflake, dbt, React, TypeScript. Certifications: AWS Certified Solutions Architect, GCP Professional Cloud Architect, Certified Kubernetes Administrator, Google Professional Data Engineer, Microsoft Certified: Azure Solutions Architect.
Is remote work available?
Yes. Most Rapidly Growing Company roles support fully remote or hybrid arrangements with a 3‑day office policy for collaboration. Remote work is standard for Cloud, Backend, and Data positions.
What are the career progression paths?
Typical ladder: Associate Engineer → Engineer → Senior Engineer → Staff Engineer → Principal Engineer. Engineers can transition to Technical Lead, Platform Lead, or VP of Engineering. Data roles follow a similar path: Associate Scientist → Scientist → Senior Scientist → Lead Scientist → Principal Scientist.
What industry trends affect Rapidly Growing Company roles?
Key trends: edge AI deployment, serverless and multi‑cloud architectures, low‑code/no‑code data pipelines, quantum‑inspired algorithms, and continuous delivery with GitOps. Companies prioritize talent that can integrate ML with infra at scale.

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