Software Engineer, Machine Lifecycle

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.

Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization.

Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance.

At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best.

At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.

This role owns the journey of every machine in our fleet: from the moment a server is racked, cabled, and powered on, to the moment it is fully configured, validated, and available for users. Your mission is to make that journey zero-touch.

You will design and build the automation pipeline that takes a machine through discovery, firmware and BIOS configuration, OS installation, configuration management, health validation and burn-in, and finally handoff into production, treating each stage as code that lives in Git, runs through CI/CD, and can be reviewed, tested, and rolled back like any other software.

The guiding principle is GitOps for physical infrastructure: the desired state of the fleet is declared in a repository, and automation continuously reconciles reality against it. A new machine shows up as a commit; a decommission is a deletion; drift is detected and corrected by the pipeline, not by a person with a checklist.

• Design and build the end-to-end machine lifecycle pipeline: from power-on and network boot through OS install, configuration, validation, and production handoff.

• Automate hardware bring-up via out-of-band management (BMC, Redfish, IPMI): firmware updates, BIOS settings, boot order, and inventory discovery.

• Automate OS provisioning with network boot (PXE / UEFI HTTP boot) and unattended installation, so no one ever installs a machine by hand.

• Write and maintain the Ansible and Python that configure machines into their final roles, replacing manual runbooks with reviewed, versioned code.

• Apply GitOps and CI/CD principles to the fleet: desired state in Git, changes through merge requests, pipelines that test and apply them, and reconciliation that catches drift.

• Build automated validation and burn-in: health checks, stress tests, and acceptance criteria a machine must pass before users ever see it.

• Model the lifecycle as a state machine (new, provisioning, validating, in-service, needs-repair, decommissioned) with clear, automated transitions and an auditable history.

• Instrument the pipeline with metrics and logging so we always know where a machine is in its lifecycle, and where the process is slow or failing.

• Work with the HPC and datacenter teams to fold their hard-won operational knowledge into the automation, one stage at a