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Salary
≈ $126k – $243k per year (Estimated)
Location
In office (New York)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Sep 27, 2026. First seen by Alion on Feb 24, 2026. Millennium Management scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Millennium Management is a global, diversified alternative investment firm and one of the largest multi-strategy hedge fund managers. It allocates capital to hundreds of independent portfolio management teams trading fundamental equity, fixed income, commodities and quantitative strategies under centralized risk management. The firm was founded in 1989 by Israel Englander and is headquartered in New York.
Senior ‘Developer Infrastructure’ Engineer

The Systematic Platform Execution & Exchange Data (SPEED) Team is at the core of Millennium’s Equities, Quant Strategies, and Shared Services Technology organization, powering the firm’s lowest-latency solutions for systematic and high-frequency trading. SPEED delivers the live trading and market-data platforms used by portfolio managers and risk systems, including Latency Critical Trading (LCT), DMA OMS (Client Direct), DMA market data feeds, packet capture (PCAPs), enterprise market data, and intraday data services across latency tiers from sub-100 nanoseconds to millisecond-sensitive workflows. By building andoperatingthis execution and data infrastructure, SPEED enables portfolio managers and researchers to compete effectively in the most time-critical markets.

As a Senior Developer Infrastructure Engineer on SPEED, you will own and evolve the build and CI/CD infrastructure that underpins these mission-critical systems. By designing scalable build pipelines, shared tooling, and reliable release workflows, you will directly enhance developer productivity and enable fast, safe iteration on some of the firm’s most performance-sensitive code. This role offers the opportunity to shape core engineering practices while contributing to platforms that are central to Millennium’s trading edge

Principal Responsibilities

  • Design, build, andmaintaina highly scalable, parallel, and cached build system for a large, performance-sensitive codebase.

  • Own and continuallyoptimizeCI/CD pipelines to minimize build/test times, reduce flakiness, and improve developer productivity.

  • Operate with an AI-first mindset across the SDLC, using automation by default to streamline build, test, and release workflows.

  • Integrate and operationalize AI tools (e.g., copilots, workflow automation, AI-driven analytics) toeliminatemanual toil, accelerate development, and codify reusable AI-enabled patterns for the broader engineering organization.

  • Design andoperatecontainerized environments (e.g., Docker, Kubernetes) to maximizeutilization, reliability, and scalability across environments.

  • Implement and manage artifact storage, dependency management, and versioning strategies for large, distributed systems.

  • Develop andmaintainshared libraries, CLIs, scripts, and internal platforms that reduce friction and enable self-service for engineers.

  • Build and enhance test suites and environment provisioning,leveragingAI and automation whereappropriate forsmarter checks, triage, and observability.

  • Monitor, instrument, and improve the reliability, observability, and performance of build and CI/CD systems using metrics, dashboards, and alerting.

  • Partner with trading and engineering teams to understand requirements, remove friction, and champion best practices for building, testing, and releasing software.

Qualifications/Skills Required

  • 5+ years of software engineering orDevInfra/Platform/DevOps experience, with significant focus onbuildingsystems and CI/CD.

  • Strong programming skills in one or more languages (e.g., Python,Rust,Go,C++) for automation and tooling.

  • Hands-on experience with at least one modern build system (e.g., Bazel, Buck2)

  • Solid understanding of source control (Git), branching strategies, and release management.

  • Experience withmonoreposis a plus.

  • Experience scaling build and test infrastructure for growing codebases and teams (parallelization, test sharding, remote execution, caching).

  • Experience designing orparticipatingin processes, systems, or playbooks thatleverageAI to streamline work rather thanneeding toaddmoreheadcountto the team.

  • Familiarity with containers and cloud infrastructure (Docker, Kubernetes, andmajorcloudproviderssuch as AWS/GCP/Azure).

  • Strong communicationand collaboration skills; comfortable partnering with multiple teams and driving cross-cutting initiatives.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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