Senior Software Engineer (Hybrid, San Francisco)
apolloio · Hybrid, San Francisco
Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately
50 million to date and valued at
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Public study materials
- Express.js — Web APIs & middleware (expressjs)
- Application setup · basic
- Routing deep dive · basic
- 1. MVC / Layered Architecture · medium
- Validation · medium
- File uploads · medium
- Sessions & auth (stateful) · medium
- Passport & strategies · medium
- Templating & SSR · medium
- WebSockets & SSE · medium
- Security middleware · advance
- Reverse proxies & trust · advance
- Performance · advance
- API design & versioning · advance
- Testing with Supertest · advance
- GraphQL & tRPC (overview) · advance
- Deployment checklist · advance
- Middlewares · basic
- Request & Response · basic
- AWS Crash Course (AWS)
- What is Cloud ? · basic
- What is AWS ? · basic
- If not cloud ? · basic
- Cloud Computing · basic
- AWS Pricing · basic
- AWS Shared Responsibility Model · basic
- AWS Management Console · basic
- AWS SDKs · basic
- AWS IAM · medium
- Users, Groups, Roles · medium
- Policies · medium
- AWS Organizations · medium
- AWS Cognito · medium
- AWS Directory Service · medium
- AWS KMS (Key Management Service) · medium
- AWS Secrets Manager · medium
- AWS Shield · medium
- AWS WAF · medium
- AWS Inspector · medium
- AWS GuardDuty · medium
- EC2 · advance
- Launching EC2 Instances · advance
- EBS Volumes · advance
- Security Groups · advance
- Key Pairs · advance
- Elastic IP · advance
- User Data Scripts · advance
- Auto Scaling · advance
- Load Balancers · advance
- ALB · advance
- NLB · advance
- Serverless Compute ,AWS Lambda, Lambda Layers · advance
- Event-Driven Architecture · advance
- ECS · advance
- EKS · advance
- Django (Django)
- What is Django · basic
- Installing Django · basic
- Features of Django · basic
- MVT Architecture · basic
- Django vs Flask · basic
- Creating Project & Creating App · basic
- Django Project Structure · basic
- URL Routing · basic
- Views · basic
- Templates · basic
- Static & Media Files · medium
- Models · medium
- ORM (Object Relational Mapping) · medium
- Model Relationships · medium
- Migrations · medium
- Django Admin · medium
- Forms · medium
- Authentication · medium
- Authorization · medium
- Middleware · medium
- Signals · medium
- Class Based Views Deep Dive · advance
- Generic Views · advance
- File Handling · advance
- Django REST Framework (DRF) · advance
- Advanced ORM · advance
- Caching · advance
- Asynchronous Django · advance
- Background Tasks · advance
- Interview Questions · interview-questions
- System Designing (System Designing)
- Day-1 : What is system Designing ? · basic
- Day-2 : Vertical vs. Horizontal Scaling · basic
- Day-3:How to do vertical scaling ? · basic
- Day4:How to do horizaontal scaling ? · basic
- Day:5TCP vs UDP · basic
- Day6:IP & DNS · basic
- Day7:Client-Server Model · basic
- Day8:HTTP & HTTPS · basic
- Databases (SQL vs NoSQL) · medium
- Caching · medium
- Day9:Latency & Throughput · basic
- Load Balancing · medium
- Indexes & Query Optimization · medium
- CDN · medium
- Proxies · medium
- Message Queues · medium
- Horizontal vs Vertical Scaling · medium
- Database Replication · advance
- Database Sharding · advance
- Consistent Hashing · advance
- CAP Theorem · advance
- Rate Limiting · advance
- Service Discovery · advance
- Event-Driven Architecture · advance
- API Gateway · advance
- Distributed Consensus · expert
- Microservices · expert
- Observability · expert
- Idempotency · expert
- PACELC Theorem · expert
- Two-Phase Commit · expert
- Back-of-Envelope Estimation · expert
- Designing for Failure · expert
- Node.js — Server-side JavaScript (nodejs)
- Getting started · basic
- JavaScript on the server · basic
- CommonJS modules · basic
- ES modules (ESM) · basic
- npm & package management · basic
- Asynchronous JavaScript in Node · basic
- The event loop · basic
- Essential core utilities · basic
- process & configuration · basic
- File system basics · basic
- HTTP & HTTPS servers · medium
- Streams · medium
- Events & EventEmitter · medium
- Advanced filesystem · medium
- crypto · medium
- Compression & encoding · medium
- Child processes · medium
- net, dgram & DNS · medium
- readline, timers & scheduling · medium
- Testing & diagnostics (intro) · medium
- Worker threads · advance
- cluster & multi-process scaling · advance
- Performance & tuning · advance
- Debugging & observability · advance
- Security hardening · advance
- Native addons & N-API · advance
- Architecture patterns · advance
- Graceful shutdown · advance
- 100 Questions · interview questions
- Python (Python)
- Python Fundamentals · basic
- Control Flow · basic
- Strings · basic
- Collections / Data Structures · basic
- Functions · basic
- Modules and Packages · basic
- File Handling · basic
- Exception Handling · basic
- Object-Oriented Programming (OOP · medium
- Advanced Python Concepts · advance
- Functional Programming · advance
- Multithreading & Multiprocessing · advance
- Async Programming · advance
- JavaScript (JavaScript)
- JS Introduction · basic
- Variables & Data Types · basic
- Operators · basic
- Control Flow · basic
- Functions · basic
- Scope & Execution · basic
- Closures · basic
- Objects · basic
- Arrays · basic
- Strings · basic
- DOM Manipulation · basic
- Browser APIs · medium
- Asynchronous JavaScript · medium
- Fetch & APIs · medium
- ES6+ Features · medium
- OOP in JavaScript · medium
- Prototype & Inheritance · advance
- Advanced Functions · advance
- Memory Management · advance
- Error Handling · advance
- Modules · advance
- Advanced Async Concepts · advance
- Functional Programming · advance
- JavaScript Internals · advance
- Performance Optimization · advance
- MongoDB — Documents & data modeling (MongoDB)
- Introduction · basic
- Shell, Compass & tools · basic
- Databases & collections · basic
- CRUD operations · basic
- Indexes deep dive · medium
- Explain plans & performance · medium
- Aggregation framework · medium
- Schema design patterns · medium
- Mongoose basics · medium
- Mongoose advanced · medium
- Drivers & connection · medium
- Operators for updates & arrays · medium
- Replication & read preferences · advance
- Write concern & read concern · advance
- Multi-document transactions · advance
- Change streams · advance
- Sharding (overview) · advance
- Atlas Search & full-text · advance
- GridFS & large files · advance
- Backup, restore & ops · advance
- SQL (SQL)
- SQL Fundamentals · basic
- Database Operations · basic
- Table Operations · basic
- CRUD Operations · basic
- Filtering & Operators · basic
- SQL Functions · basic
- GROUPING Data · basic
- Joins · medium
- Constraints · basic
- Subqueries · medium
- Set Operators · medium
- Views · medium
- Indexes · medium
- Normalization · advance
- Transactions · advance
- Stored Procedures & Functions · advance
- Triggers · advance
- Advanced SQL · advance
- Query Optimization · advance
- Database Design · advance
- SQL Security · advance
- Backup & Recovery · advance
- Questions · interview questions
- System Architecture (System Architecture)
- Fundamentals of System Architecture · basic
- Distributed System Basics · basic
- System Reliability Concepts · basic
- Scaling Concepts · basic
- Networking Basics · basic
- Web Communication · basic
- API Communication · basic
- Proxy & Delivery Systems · basic
- Web Architecture Basics · basic
- Rendering Architectures · basic
- Frontend Advanced Concepts · basic
- Message Queue Basics · medium
- What is Load Balancer · medium
- Load Balancing Algorithms · medium
- API Design Basics · medium
- API Protection · medium
- Authentication Basics · medium
- Security Tokens · medium
- Security Threats · medium
- Encryption & Security · medium
- SQL Database Basics · medium
- SQL Scaling Concepts · medium
- NoSQL Databases · medium
- Database Optimization · medium
- Replication Strategies · medium
- Caching Basics · medium
- Cache Storage Systems · medium
- Cache Strategies · medium
- Event-Driven Systems · advance
- Queue Reliability · advance
- Microservices Basics · advance
- Microservice Communication · advance
- Distributed Transactions · advance
- DevOps Basics · advance
- Automation Tools · advance
- Deployment Strategies · advance
- Monitoring Basics · advance
- Monitoring Tools · advance
- Distributed System Concepts · advance
- Distributed Algorithms · advance
- Angular (Angular)
- Angular Fundamentals · basic
- Project Structure · basic
- Components & Templates · basic
- Data Binding · basic
- Directives · basic
- Pipes · basic
- Component Communication · basic
- Lifecycle Hooks · basic
- Routing Basics · basic
- Routing · basic
- API Calls · basic
- Forms · medium
- Routing · medium
- Services & Dependency Injection · medium
- RxJS & Observables · medium
- Authentication & Security · medium
- Component Interaction · medium
- State Management Basics · medium
- Error Handiling · medium
- Perfomance Basic · medium
- Real World Features · medium
- Advanced Angular Architecture · advance
- Change Detection · advance
- Advanced RxJS · advance
- State Management · advance
- Dynamic Rendering · advance
- Perfomance Optimization · advance
- Modern Angular · advance
- STAR (Situation, Task, Action, and Result) (Situation Based Questions)
.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.
About Apollo
Apollo is the AI-powered go-to-market platform that helps revenue teams find, engage, and convert their best customers. We combine a database of more than 210 million contacts and 35 million companies with an agentic end-to-end GTM platform, and more than 500,000 companies rely on us to run their go-to-market motion. We are profitable, growing fast, and rebuilding the product around AI and agents.
Your role and mission
You will design, build, and scale significant systems and features, owning them end-to-end. You will take on ambiguous, higher-scope problems, make the key technical tradeoffs, and be accountable for the correctness, performance, and reliability of what you own.
What you will do
• Own significant systems and features end-to-end, from design through production and operation
• Break down hard, ambiguous problems and drive them to shipped outcomes
• Own the reliability, performance, and cost of the systems you are responsible for
• Partner across product, design, and engineering to solve problems that span teams
• Raise the quality bar and set patterns that make the people around you more effective
How we work: AI-native by default
You treat AI-assisted development as a core part of how you work. You use agents to move faster on design, investigation, and implementation, with clear judgment about where to review closely, and you look for ways AI raises the leverage of the whole team.
What we are looking for
• A strong track record of owning and shipping systems at scale
• Command of system design, data modeling, and the reliability and cost tradeoffs that come with scale
• The ability to lead ambiguous work to a clear outcome
• Genuine, current fluency with AI-assisted development
• A high bar for quality and a strong sense of ownership
Our tech stack
React on the front end; Ruby, Ruby on Rails, Python, MongoDB, and Elasticsearch on the backend; Kubernetes, Docker, and Terraform in infrastructure; GCP for cloud.
What you will love about Apollo
You will own real scope on systems that hundreds of thousands of companies depend on, work with a high-bar team, and have the AI tooling and budget to work at the top of your leverage.
The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process.
Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits.
San Francisco Pay Range
## We are AI Native
Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here.
## Why You’ll Love Working at Apollo
At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency , and learn voraciously to stay ahead.
We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact . Collaboration is at our core—we’re all for one , meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action , giving you the freedom to experiment, take smart risks, and drive big wins.
If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you.
Learn more here!
About Apollo
Apollo is the AI-powered go-to-market platform that helps revenue teams find, engage, and convert their best customers. We combine a database of more than 210 million contacts and 35 million companies with an agentic end-to-end GTM platform, and more than 500,000 companies rely on us to run their go-to-market motion. We are profitable, growing fast, and rebuilding the product around AI and agents.
Your role and mission
You will design, build, and scale significant systems and features, owning them end-to-end. You will take on ambiguous, higher-scope problems, make the key technical tradeoffs, and be accountable for the correctness, performance, and reliability of what you own.
What you will do
• Own significant systems and features end-to-end, from design through production and operation
• Break down hard, ambiguous problems and drive them to shipped outcomes
• Own the reliability, performance, and cost of the systems you are responsible for
• Partner across product, design, and engineering to solve problems that span teams
• Raise the quality bar and set patterns that make the people around you more effective
How we work: AI-native by default
You treat AI-assisted development as a core part of how you work. You use agents to move faster on design, investigation, and implementation, with clear judgment about where to review closely, and you look for ways AI raises the leverage of the whole team.
What we are looking for
• A strong track record of owning and shipping systems at scale
• Command of system design, data modeling, and the reliability and cost tradeoffs that come with scale
• The ability to lead ambiguous work to a clear outcome
• Genuine, current fluency with AI-assisted development
• A high bar for quality and a strong sense of ownership
Our tech stack
React on the front end; Ruby, Ruby on Rails, Python, MongoDB, and Elasticsearch on the backend; Kubernetes, Docker, and Terraform in infrastructure; GCP for cloud.
What you will love about Apollo
You will own real scope on systems that hundreds of thousands of companies depend on, work with a high-bar team, and have the AI tooling and budget to work at the top of your leverage.
The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process.
Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits.
San Francisco Pay Range
95,400 —
58,300 USD## We are AI Native
Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here.
## Why You’ll Love Working at Apollo
At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency , and learn voraciously to stay ahead.
We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact . Collaboration is at our core—we’re all for one , meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action , giving you the freedom to experiment, take smart risks, and drive big wins.
If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you.
Learn more here!