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Platform Engineering Manager

Job in New York, New York County, New York, 10261, USA
Listing for: Galaxydigitalservices
Full Time position
Listed on 2026-07-07
Job specializations:
  • Software Development
    Cloud Engineer - Software, DevOps, Software Architect, Backend Developer
Salary/Wage Range or Industry Benchmark: 200000 - 260000 USD Yearly USD 200000.00 260000.00 YEAR
Job Description & How to Apply Below
Location: New York

Who We Are

Galaxy is a global leader in digital assets and data center infrastructure, delivering solutions that accelerate progress in finance and artificial intelligence. We believe that blockchain and digital asset innovation will transform how value moves through the world – and we’re building the products and services to make that future a reality. Our institutional digital assets platform spans trading, investment banking, asset management, staking, self‑custody, and tokenization technology.

We also invest in and operate cutting‑edge data center infrastructure to power AI and high‑performance computing, addressing the growing demand for scalable energy and compute in the U.S. We work at the intersection of finance and technology, helping institutions, startups, and developers navigate a digitally native economy. Led by CEO and Founder Michael Novogratz, our team blends deep crypto expertise with institutional experience and a shared commitment to shaping the future of Web3 and AI.

Galaxy is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. To learn more about our businesses and products, visit

What We Value

We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission‑first approach. Our culture shapes our way of working and gets us where we want to be.

  • Seek Excellence.
  • Be Selective To Be Effective.
  • Be Highly Aligned, Loosely Coupled.
  • Disagree Transparently.
  • Encourage Independent Decision‑Making.
  • Build Dream Teams.
Who You Are

You’ll lead Platform Engineering — the team that owns the shared infrastructure services underneath every Digital Infrastructure engagement, and the forward‑deployed engineers who embed with tier‑1 clients. You’ll set the technical direction for both tracks, develop the engineers on the team, and run the operational machinery that keeps the team and its engagements moving. This is a player‑coach role at the leadership end of the spectrum.

You’ll spend most of your time on people, strategy, operations, and execution — but you should be the kind of engineering leader who still reads the architecture diagrams carefully, pushes back on the right design decisions, and can hold a technical conversation with senior engineers at tier‑1 clients. You’ll report directly to the Head of Engineering, Platform and Edge, who directs which engagements the team takes on and shapes the partnerships at the top.

Your job is to make those engagements land.

The Stack

AWS (EKS, VPC, MSK, Aurora, S3)
· Git Ops with FluxCD
· Terraform
· Datadog, Grafana, Wiz
· Kafka
· KMS/HSM, MPC, AWS Nitro Enclaves
· Postgres
· Cloudflare for ingress and zero‑trust.

What You’ll Do
  • Lead the team:
    Develop the engineers on the team. Both tracks should build expertise that compounds — no dead‑end paths. Set the bar for technical excellence, operational rigor, and customer‑facing craft. Bring on new engineers as the team evolves — measured, deliberate hiring rather than scale‑up.
  • Own the platform:
    Hold the technical strategy for the shared platform: compute, networking, observability, CI/CD, validator clusters, the data plane, secrets and key management. Major direction is set with the Head of Engineering, Platform and Edge; you own the call within that. Make the build/buy/reuse calls. Decide what gets generalized into shared platform capability versus what stays bespoke to a single engagement. Own production reliability for institutional‑grade systems running in production.
  • Run the operational machinery:
    Operate the rotation model end‑to‑end: deploy engineers into client engagements, rotate them back to harden the platform, sequence the moves so both tracks feed each other rather than drift apart. Run team logistics — staffing across engagements, capacity planning, on‑call rotation, cadence of planning and reviews, incident response process. Coordinate across DIS, client‑facing teams, and engagement leads so the right engineers are on the right work at the…
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