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Infrastructure Engineer Three Jobs in New York (NOW HIRING)

Palona AI

AI Infrastructure Engineer

New York, NY · On-site

$117K - $154K/yr

We are looking for an Infrastructure Engineer who combines cloud and reliability depth with strong ... Requirements * 3+ years industrial experience in relevant technical domain. * Strong software ...

Palona AI

AI Infrastructure Engineer

New York, NY · On-site

$117K - $154K/yr

We are looking for an Infrastructure Engineer who combines cloud and reliability depth with strong ... Requirements * 3+ years industrial experience in relevant technical domain. * Strong software ...

Redolent, Inc.

US_West | Infrastructure Engineer_L3

NJ · On-site

$110K - $144K/yr

Possible 3 Month CTH | No Fees | Do Not Re-Post| Confidential TMR ID: # OBT4ST Role: Software Infrastructure Engineer Work location: San Jose, CA. Background, Drug Screen and Meet and Greet:

New

Applecart

Senior Infrastructure Engineer

New York, NY · On-site +1

$160K - $200K/yr

We are hiring a Senior Engineer, Infrastructure in our New York office. About the Role: As a Senior ... Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus ...

Applecart

Senior Infrastructure Engineer

New York, NY · On-site

$160K - $200K/yr

We are hiring a Senior Engineer, Infrastructure in our New York office. About the Role: As a Senior ... Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus ...

Applecart

Senior Infrastructure Engineer

New York, NY · On-site +1

$160K - $200K/yr

We are hiring a Senior Engineer, Infrastructure in our New York office. About the Role: As a Senior ... Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus ...

Rebar

Senior ML Infrastructure Engineer

New York, NY · On-site

$118K - $161K/yr

Senior ML Infrastructure Engineer Background Rebar is building the next-generation operating system ... * 3+ years of experience building production backend systems, with significant time on internal ...

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Infrastructure Engineer Three information

What does an infrastructure engineer do?

An infrastructure engineer designs, implements, and maintains the hardware, software, and network systems that support an organization’s IT environment. They work with servers, cloud services, networking equipment, and automation tools to ensure system reliability, security, and performance. Strong problem-solving skills and knowledge of scripting, virtualization, and security protocols are essential in this role.

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Infographic showing various Infrastructure Engineer Three job openings in New York as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

AI Infrastructure Engineer

Palona AI

New York, NY • On-site

$117K - $154K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

Job description

Palona's AI agents operate continuously in production, handle real-time guest interactions, integrate with restaurant systems, and face sharp traffic peaks. Infrastructure is therefore part of the product: latency, reliability, deployment safety, observability, security, and cost directly shape the guest and operator experience.
We are looking for an Infrastructure Engineer who combines cloud and reliability depth with strong software engineering judgment. You will build and operate the platform beneath Palona's AI products, improve how engineers ship, and turn production signals into durable system improvements. This is not a ticket-driven IT or operations role. You will write production code, design systems, automate repetitive work, and own outcomes across the full service lifecycle.
Our current environment includes Python services, Docker, AWS and selected Azure services, ECS and Lambda workloads, API Gateway, load balancers, relational data systems, OpenTofu/Terraform, Datadog, and CI/CD automation. We value the ability to learn and make sound tradeoffs more than exact tool-for-tool matching.
What you will own:
  • Design, build, and evolve secure, scalable cloud infrastructure for real-time AI services and customer-facing applications.
  • Improve service reliability through clear SLOs, actionable observability, capacity planning, failure testing, and pragmatic incident prevention.
  • Build deployment and release systems that make production changes fast, repeatable, auditable, and safe.
  • Own infrastructure as code, environment consistency, and reusable platform patterns across development, staging, and production.
  • Partner with product and AI engineers on architecture, performance, data flows, and operational readiness for new capabilities.
  • Diagnose complex distributed-system failures across application, network, database, model-provider, and third-party integration boundaries.
  • Reduce infrastructure and model-serving cost without compromising customer experience or engineering velocity.
  • Strengthen secrets management, access controls, backup and recovery, vulnerability management, and other practical security foundations.
  • Build internal tooling and paved paths that let engineers ship and operate services with less manual work.
  • Participate in incident response and turn incidents into better systems, automation, documentation, and engineering judgment.

Requirements
  • 3+ years industrial experience in relevant technical domain.
  • Strong software engineering fundamentals and experience building or operating production distributed systems.
  • Hands-on experience with a major cloud platform; AWS experience is especially relevant.
  • Experience with containers, infrastructure as code, CI/CD, monitoring, alerting, and production debugging.
  • Ability to write reliable automation and services in Python or another modern programming language.
  • Sound judgment around availability, latency, scalability, security, and cost tradeoffs.
  • A track record of taking ambiguous operational problems from diagnosis through durable resolution.
  • Clear communication during architecture reviews, launches, and incidents.
  • AI-native working habits and curiosity about the operational behavior of LLM- and agent-powered systems.

Benefits
  • Competitive Salary and Stock Option Plan.
  • Medical, dental, vision, retirement, leave, and disability benefits as applicable.
  • Family Leave
  • Short Term & Long Term Disability
  • Paid time off and company holidays.
  • Learning and development support.

Apply