Senior Backend Engineer
Apollo.io
| Company | Apollo.io |
| Category | Engineering |
| Location | Remote |
| Remote | Remote |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 16 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
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 $250 million to date and valued at $1.6 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. Your Role & Mission
As a Senior Backend Engineer at Apollo, you'll be a critical part of a fast-growing company, working on a cross-functional team to build highly scalable systems and set the bar for how we engineer. The way we build has changed: this is an AI-native role. We're not looking for someone who also uses AI, we're looking for someone who thinks with it, forms their own hypotheses, pressure-tests what AI produces, catches its errors, and design more robustly than they could alone.
You'll work in an open, collaborative environment, give and receive hands-on mentorship, and have real opportunities to grow. You'll interface daily with design, front-end, analytics, product, and teams beyond Engineering. You enjoy working cross-functionally to solve hard problems and make an impact. You strive for quality, are obsessed with improving it, automation, monitoring, squashing the bugs that sneak through and you're always investigating performance improvements and better ideas.
Daily Adventures & Responsibilities
Design and implement highly scalable, highly available backend services with proper monitoring and alerting in place
Ramp quickly into large, unfamiliar codebases, de-risk your changes, understand blast radius, and ship with confidence
Use AI as a core part of your workflow: generate and pressure-test approaches, verify and catch AI's mistakes, and stand behind the quality of the code you ship with it
Drive the full lifecycle of software development: product requirements, architecture, solution design, development, quality assurance, and maintenance, ownership doesn't end at deploy
Scope and reshape under-specified problems, and write clear design docs that satisfy real product needs
Partner closely with PMs: translate product intent into technical decisions, surface the technical realities they need to make good calls, and push back on the spec when reality changes the answer
Mentor others on best practices and effectively share knowledge to up-level the team
Communicate progress clearly to the product lead, engineering manager, and other stakeholders
Introduce new technologies and ideas when they earn their place
Give and receive technical and behavioral feedback; engage in scrum ceremonies, team culture, and collaborate with the team.
What We're Looking For
AI-native engineers. You use AI to raise your bar, not just move faster forming your own hypotheses, pressure-testing and verifying AI output, catching its errors, and taking full ownership of code quality regardless of how it was produced. You stay current with a fast-moving toolset.
Comfort in unfamiliar code. You ramp fast into systems you didn't write, reason about blast radius, and de-risk changes rather than hoping they work.
Architectural ownership & operational readiness. You design for scale and availability, anticipate failure modes, and build with monitoring and alerting from the start.
Ownership start to finish. J
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