Revic Logo

Revic

Software Engineer (Platform)

Posted 12 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in New York, NY, USA
Senior level
In-Office or Remote
Hiring Remotely in New York, NY, USA
Senior level
As a Platform Engineer at Revic, you'll design and maintain scalable cloud infrastructure for AI systems, manage CI/CD pipelines, improve developer experience, and reduce operational friction while ensuring reliability and performance.
The summary above was generated by AI

We're looking for a Platform Engineer to build and scale the infrastructure behind Revic's AI-native revenue engine. You'll own the systems that keep our AI agents fast, reliable, and running at scale. If you love making complex systems feel effortless, this one's for you.


About Revic

Great sellers are the lifeblood of every business. They build relationships, understand needs, and close deals that drive growth. But too often, they're buried under administrative work, disconnected tools, and processes that pull them away from what they do best: selling.

We believe salespeople deserve better. They deserve technology that works for them, not against them.

Revic is an AI-native sales acceleration engine built to uplift sales professionals. We handle the complexity: analyzing data, identifying opportunities, triggering the right workflows, so reps can focus on the human side of sales. The conversations. The relationships. The moments that matter.

Our platform learns what's working, defines who to sell to, and gives reps the context they need to move with confidence and precision. It removes the friction that slows them down and amplifies their natural strengths.

Sales will always be human. Revic exists to make sure it stays that way, by letting AI handle everything else.


Why This Role Exists

Revic's AI agents process terabytes of data, orchestrate dozens of integrations, and make real-time decisions that impact enterprise revenue pipelines. As we scale, we need someone to make sure the foundation underneath all of that is rock solid.

We need a Platform Engineer who can build infrastructure that scales gracefully, stays observable, and lets our product engineers move fast without worrying about what's underneath.


The Technical Challenge

The Core Problem: How do you build infrastructure that supports thousands of concurrent AI agent runs, each pulling from dozens of data sources, while keeping latency low, costs reasonable, and reliability high?

Your Mission:

  • Design, build, and maintain the cloud infrastructure and developer platform that powers Revic's AI systems

  • Own CI/CD pipelines, deployment automation, and environment management so engineers ship with confidence

  • Build and operate observability, monitoring, and alerting systems that catch problems before customers do

  • Manage the infrastructure layer that fuels our AI agents

  • Improve developer experience by reducing friction in local development, testing, and production debugging

  • Collaborate with product engineering to design systems that are secure, scalable, and cost-efficient

  • Champion infrastructure-as-code, automated testing, and operational best practices across the team

You Belong Here If...

You Think in Systems

  • 5+ years of experience building and operating cloud infrastructure (AWS, GCP, or Azure)

  • You've designed systems that handled real production traffic, not just weekend projects

  • You understand distributed systems deeply enough to know where they break

You Ship Relentlessly

  • You measure success by uptime, deployment velocity, and how happy your fellow engineers are

  • You automate everything you can and document what you can't

  • You've built CI/CD pipelines that teams actually trust

You're Technically Strong

  • Solid experience with containerization and orchestration (Docker, Kubernetes)

  • Comfortable with infrastructure-as-code tools (Terraform, Pulumi, or similar)

  • Strong scripting and automation skills (Python, Bash, Go, or similar)

  • Familiarity with data infrastructure (Spark, Databricks, Airflow, or similar) is a strong plus

You're Intellectually Honest

  • You question everything, including your own assumptions

  • You know when to build vs. buy vs. wait

  • You're energized by debugging hard problems under pressure

Technical Indicators We Love

✓ You've managed infrastructure that supported data-heavy workloads at scale

✓ You've reduced deployment times from hours to minutes

✓ You've built observability that actually helped teams find and fix issues fast

✓ You understand why "it works on my machine" is never the answer

✓ You've wrangled cloud costs without sacrificing performance


Thriving at Revic

This is not for you if:

  • You need perfect requirements before starting

  • You're looking for work-life balance (we offer work-life integration)

  • You want to work on one narrow piece of the stack

  • You prefer meetings over shipping

This is for you if:

  • You want to look back in 5 years and say "Damn! I built the platform that powered all of that"

  • You're ready to work harder than you've ever worked and be challenged well beyond your comfort zone

  • You believe great infrastructure is invisible to the people who depend on it

  • You want equity that could actually change your life

Logistics & Offer

💰 Competitive base + meaningful equity (we're not another 0.001% shop)

🏥 Premium health, dental, vision - we take care of our people

🏝️ Offsite - We trade slack for sunshine, every quarter we meet in-person

🚀 The intangibles:

  • Own the platform that powers an AI-native product from the ground up

  • Ship daily, learn instantly

  • Work directly with engineering leadership to shape technical direction

  • Uncapped growth, the kind that comes from building, not waiting

Top Skills

Airflow
AWS
Azure
Bash
Databricks
Docker
GCP
Go
Kubernetes
Pulumi
Python
Spark
Terraform

Similar Jobs

2 Days Ago
Remote
USA
Senior level
Senior level
Artificial Intelligence • Machine Learning • Software • Defense
The Senior Backend Engineer will develop data collection applications, design architecture, create APIs, manage databases, and collaborate with teams to enhance software solutions.
Top Skills: AWSDockerElasticsearchPythonRedis
5 Days Ago
Easy Apply
Remote
USA
Easy Apply
218K-257K Annually
Senior level
218K-257K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
As a Staff Software Engineer, you will lead technical strategy and architecture for the Finhub Tooling platform, driving AI initiatives and mentoring engineers to enhance operational efficiency across multiple teams.
Top Skills: Ai ToolsBlockchain Technology
8 Days Ago
Easy Apply
Remote
USA
Easy Apply
218K-257K Annually
Senior level
218K-257K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
The Staff Software Engineer will lead the technical direction of the Policies Platform, managing architecture, roadmaps, and cross-team collaboration to improve compliance and policy systems within Coinbase.
Top Skills: GoGrpcKubernetesService Mesh Architectures

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account