---
title: 'Senior Site Reliability Engineer (Copy) at arxtalent.com'
canonical: 'https://feeny.ai/job/senior-site-reliability-engineer-copy-arxtalent-com-new-york-ntgn3b13yenq'
type: 'job'
last_seen: '2026-09-05'
---

# Senior Site Reliability Engineer (Copy) at arxtalent.com

- **Company:** arxtalent.com
- **Location:** New York, NY
- **Compensation:** $205k–$225k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-03-26
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.gem.com/arxtalent/am9icG9zdDpPqYgwI39uN9eHsS4l4zUV

## Job description

Based in NY/SF or willing to relocate (in-person collaboration is critical). In-person component is important (if in NYC/SF, 3 days a week; if within 30 miles outside the city - 1 day a week)

The Company:

We are a decentralized, public blockchain that gives developers the tools to create experiences that are more like cash than crypto. The network is faster, cheaper, and far more energy-efficient than most blockchain-based systems. It’s designed so Stellar’s ecosystem can make a real-world, lasting impact.

The Role:

As one of the first engineers, you will help build and operate the foundation that powers our engineering teams. You’ll ensure the reliability and scalability of our systems, design and improve the infrastructure behind our production environments, and automate operational work so developers can focus on building great products.

Key Responsibilities: Matching & Scoring Systems

- Maintain, improve, scale and secure our AWS/GCP infrastructure and Linux systems.
- Assist our development teams in running, packaging, deploying and troubleshooting applications
- Work with developers on streamlining deployment processes with Jenkins and other CI/CD tooling.
- Build, maintain, monitor and improve our Kubernetes clusters.
- Work with development teams on migrating applications to Kubernetes.
- Be responsible for maintenance and improvements to multiple internal services, for example Kubernetes, Prometheus, ELK.
- Monitor, triage and respond to alerts in our high availability environments.
- Participate in design and code reviews, and ensure that the foundation for our services is best in class.
- Evaluate new technologies, design and implement as appropriate.
- Identify automation opportunities and implement by creating custom or by using off the shelf solutions.

Qualifications: Required Experience

- 5+ years of experience of working in cloud-based systems operations, as a SRE or DevOps engineer.
- First-hand experience with configuration management and infrastructure as code (Ansible, Puppet, Terraform).
- Proficient in utilizing SRE methodologies like capacity planning and disaster recovery testing to ensure the scalability, resilience, and availability of critical services.
- Production experience building and maintaining Kubernetes clusters.
- Will need to know how to code

Preferred Attributes:

- Ability to understand Go, Rust, C++ and TypeScript source code
- Experience experimenting with AI-driven approaches to operations
- Comfortable with participating in on-call rotations and conducting thorough root cause analyses to keep systems running smoothly.
- Experienced in managing production workloads and skilled in using monitoring tools to detect issues early.
- A strong understanding of computer networking, TCP/UDP, load balancing, distributed computing, web services, and the fundamental protocols used by the internet (HTTP, HTTPS, DNS, etc.).
- No blockchain needed
- Experience using AI is a plus

## About arxtalent.com

## Company Overview
- **One-liner**: Arx is a venture-backed recruiting and staffing firm that provides AI-powered, asynchronous hiring services, including fixed-scope 'hiring sprints' and expert-labeled candidate datasets, for growth-stage companies.
- **Entity Type**: Private (Venture-Backed; recently secured a seed round)
- **Headquarters**: New York, New York, United States
- **Founded**: Not publicly available (recently active on LinkedIn since at least 2023-2025)
- **Founders**: Not publicly available

## Core Business
- **Primary industry**: Staffing and Recruiting / Human Resources Technology (HR Tech) / Professional Services
- **Target customers**: B2B; specifically growth-stage startups and technology companies needing senior-level hires (e.g., Founding Engineer, Site Reliability Engineer) and high-volume, speed-oriented recruitment.
- **Mission or purpose statement**: "Whether you’re building something new, refining what’s in motion, or gearing up for what’s next, Arx helps you find the right trajectory." Their approach emphasizes data-driven, asynchronous, and AI-native recruitment to replace traditional, slow processes.

## Products & Services
- **AI-Powered 'Hiring Sprints'**: Fixed-scope, fixed-price engagements that deliver five pre-vetted candidates in a live pipeline within seven days. Replaces traditional recruiter calls with a portal-based system for candidate review and scheduling.
- **Expert-Labeled Candidate Datasets**: Deployment of data built by operators to provide real, verifiable skills data on candidates, moving beyond traditional resume screening.
- **Marketplace for Senior Roles**: An AI-native marketplace that matches senior talent (e.g., founding engineers, SREs) with growth-stage companies. Uses candidate-job matching algorithms and AI scoring logic.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total Funding – Recently secured a "significant seed round" from top-tier investors. Exact amount not disclosed.
- **Notable Investors/Partners**: "Top-tier investors" (exact names not publicly listed); partners include growth-stage companies hiring for senior engineering roles. Their LinkedIn shows they actively post founding-engineer roles for an "early-stage partner" that is SF-based and well-funded.
- **Growth Signals**: 
  - LinkedIn follower count grew +200% year-over-year (though from a very small base of ~78 followers).
  - Claims strong product-market fit and rapid scaling to meet "massive market demand."
  - Cross-sided network effects from their AI-native marketplace.
  - High-demand services (e.g., 7-day hiring sprints for senior roles) suggest strong niche traction.

## Competitive Advantages
- **Speed & Efficiency**: 7-day delivery of a live pipeline of 5 vetted candidates is a key differentiator vs. traditional 4-8 week timelines.
- **AI-Native Core**: Uses applied AI/LLM features (matching algorithms, calibration tools, rejection analysis, AI-powered flagging, RAG assistants) to automate and scale the recruitment process, reducing manual effort.
- **Asynchronous / Portal-Based**: Replaces endless recruiter calls with an asynchronous, portal-based system for candidate review, appealing to busy hiring managers.
- **Operator-Built Data**: Focus on "expert-labeled datasets" built by operators, not just resume data, to improve candidate quality and authenticity.

## Strategic Focus
- **Product Expansion**: Continue building out their AI-native marketplace, including candidate-job matching, AI scoring, automated candidate summaries, and retrieval-based assistants.
- **Scaling the Platform**: With a lean, high-horsepower engineering team, they are focused on shipping fast and scaling the marketplace to capture demand.
- **Hiring Sprints Growth**: Likely expanding the "hiring sprint" model for more roles and companies, positioning it as a standardized, reliable service.

## Why Work Here
- **High-Impact Role**: As one of the first engineers (Applied AI Engineer / Founding Engineer for partner companies), you will own roadmap pieces from 0→1, talk directly with customers, and set engineering standards.
- **Growth Trajectory**: A venture-backed startup at an early stage, with strong product-market fit and rapid market demand. Offers significant equity (0.3–1%) and competitive salary ($120–200k).
- **Technology Stack**: Focus on production-grade AI (LLMs, embeddings, vector databases, fine-tuning), full-stack implementation (TypeScript, React, Node, Go, Python, AWS/GCP, Kubernetes, Terraform). Opportunity to stay at the cutting edge of AI in HR tech.
- **Work Environment**: Lean, high-output team; "low ego, high ownership" culture. In-person collaboration required (Hybrid – mostly in San Francisco office; on-site for the early-stage partner role; relocation and perks covered). The company also has a New York headquarters.
- **Candidates from Top-Tier Technical Backgrounds Welcome**: The Applied AI Engineer job explicitly mentions academic background from top-tier technical institutions (e.g., Stanford, MIT, CMU, Berkeley) as a plus, but other roles emphasize experience and ownership over prestige.

## Sources
1. [LinkedIn Company Page](https://linkedin.com/company/arx-ts)
2. [Built In Company Profile](https://builtin.com/company/arx-talent)
3. [Built In Jobs – Senior Site Reliability Engineer](https://builtin.com/company/arx-talent/jobs)
4. [Teal HQ – Applied AI Engineer Job Posting](https://www.tealhq.com/job/applied-ai-engineer_7ea1a45ff51a3c59a0881bb028c84f2663f58)
5. [LinkedIn Post – Hiring a Founding Engineer for an Early-Stage Partner](https://www.linkedin.com/posts/arx-ts_were-hiring-a-founding-engineer-for-one-activity-7377109411439222784-zIjo)
6. [Company Website](https://arxtalent.com)

## Other roles at arxtalent.com

- [Senior Site Reliability Engineer](https://feeny.ai/job/senior-site-reliability-engineer-arxtalent-com-new-york-zhzmzc5z6g89) — New York, NY
- [Product Engineer](https://feeny.ai/job/product-engineer-arxtalent-com-new-york-ymbcgkhjreck) — New York, NY
- [Applied AI Engineer](https://feeny.ai/job/applied-ai-engineer-arxtalent-com-new-york-b7rf0paadd7t) — New York, NY