Senior Software Engineer - Cloud Native Compute Infrastructure Core

Bloomberg•New York, NY

1h•$160,000 - $240,000•Onsite

About The Position

The CNCI Core & Lifecycle team, part of Bloomberg’s Cloud Native Compute Services group, provides the compute foundations for cloud-native services at Bloomberg scale. They build the software, automation, and infrastructure capabilities required to operate and evolve Bloomberg’s large-scale physical compute fleet. Working below the application and orchestration layers, they provide the physical infrastructure and lifecycle systems that underpin Bloomberg’s most critical stateful platforms, including Bloomberg Search infrastructure, Hadoop analytics and compute platforms, NoSQL database platforms, Relational database platforms, and On-premises GPU infrastructure supporting AI training and inference. Their mission is to ensure the fleet operates reliably and stays ready for critical workloads by automating provisioning, configuration, upgrades, and remediation across the entire hardware lifecycle. This demands senior engineering judgment in distributed systems: orchestrating high-stakes changes across large-scale fleets while keeping critical stateful services available, resilient, and performant. The role involves navigating data placement, replication, capacity, and application-specific constraints to deliver infrastructure improvements safely at scale.

Requirements

4+ years of software engineering experience, with proficiency in Go, Python, or a comparable language.
BA/BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field.
Experience building and maintaining production observability using technologies such as Prometheus, Grafana, and OpenTelemetry.
Strong hands-on Linux systems expertise, including command-line troubleshooting of processes, storage, networking, system logs, kernel messages, and systemd services on Ubuntu or similar distributions.
Experience building infrastructure automation with tools such as Ansible and Terraform.
Strong communication and collaboration skills within large-scale production environments.

Nice To Haves

Experience managing large-scale fleets of physical servers using modern infrastructure practices, including immutable and image-based OS frameworks such as Kairos, automated OS management, desired-state configuration, and configuration drift detection.
Experience with GPU and HPC infrastructure, including hardware provisioning and lifecycle management, firmware, fleet observability, and high-speed networking such as InfiniBand.
Experience building or operating infrastructure that supports large-scale stateful distributed systems such as Hadoop, HBase, NoSQL and relational databases, search platforms, or Kubernetes-based services.
Advanced Linux networking expertise (e.g., BGP, eBPF) in security-focused or highly regulated environments.
Experience with workload identity, node and workload attestation, and zero-trust infrastructure using SPIFFE/SPIRE or similar technologies.

Responsibilities

Design and build systems that make Bloomberg's physical infrastructure easier, safer, and more automated to operate at scale.
Improve the reliability of foundational infrastructure by safely managing OS, firmware, network policy, and configuration changes across production fleets, while designing lifecycle workflows that enable graceful recovery, failover, and restoration for stateful workloads.
Accelerate self-service management by delivering reusable tooling and APIs for platform teams running Hadoop, databases, search, and AI services.
Automate compute lifecycles end-to-end, from firmware and OS provisioning to full application-level stack deployment.
Build and operate automation for rapid-response CVE patching and proactive security hardening across the fleet.
Enhance system observability through robust monitoring, alerting, and cross-team architectural collaboration.
Manage incident response and root-cause analysis with the team and end users to drive long-term system stability improvements.