Referso Jobs

Corporate Vice President - Head of Storage & Data Protection

New York Life Insurance Co · Posted Nov 13, 2026

Open

Remote, United States
Remote
Full-time · Executive
$160K–$229K per year

Corporate Vice President - Head of Storage & Data Protection

New York Life Insurance Co · Posted Nov 13, 2026

Open

Remote, United States
Remote
Full-time · Executive
$160K–$229K per year

Senior Staff Software Engineer – Compute Engineering

ServiceNow · Posted Nov 14, 2026

Open

Santa Clara, California, United States
Senior
$191K–$334K per year
12+ years

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Design and evolve the compute scheduler and resource-management systems, including placement, prioritization, preemption, and fairness across workloads.

Compensation

For positions in this location, we offer a base pay of $190,900 - $334,100, plus equity (when applicable), variable/incentive compensation and benefits.

Responsibilities

Design and evolve the compute scheduler and resource-management systems, including placement, prioritization, preemption, and fairness across workloads.
Build capacity models and forecasts across private and public cloud, and turn them into reservation and placement decisions.
Establish performance and scale testing: benchmarks, load tests, regression detection, and SLOs for scheduling latency and throughput.
Apply AI and ML to forecasting, anomaly detection, and placement optimization where they outperform simpler approaches.
Write and maintain declarative, software-defined infrastructure at scale, with build systems, web services, and automation that are specified, documented, and testable.

Requirements

Bachelor's degree
Master's degree
PhD
Nice to have: ML-driven scheduling
Nice to have: forecasting

Skills

Go Python

Principal Software Engineer – Compute Engineering

ServiceNow · Posted Nov 14, 2026

Open

Santa Clara, California, United States
Principal
$221K–$387K per year
15+ years

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Design and evolve the compute scheduler and resource‑management systems, including placement, prioritization, preemption, and fairness across workloads.

Compensation

For positions in this location, we offer a base pay of $221,200 - $387,100, plus equity (when applicable), variable/incentive compensation and benefits.

Responsibilities

Design and evolve the compute scheduler and resource‑management systems, including placement, prioritization, preemption, and fairness across workloads.
Build capacity models and forecasts across private and public cloud, and turn them into reservation and placement decisions.
Establish performance and scale testing: benchmarks, load tests, regression detection, and SLOs for scheduling latency and throughput.
Apply AI and ML to forecasting, anomaly detection, and placement optimization where they outperform simpler approaches.
Write and maintain declarative, software‑defined infrastructure at scale, with build systems, web services, and automation that are specified, documented, and testable.

Requirements

Bachelor's degree
Master's degree
PhD
Nice to have: ML‑driven scheduling
Nice to have: forecasting

Skills

Go Python

Staff Product Manager - Storage

Lambda · Posted Nov 13, 2026

Open

Bellevue, Washington, United States +1 more
Hybrid
Staff
7+ years

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Product manager on the Foundational Infrastructure team responsible for defining where customer data lives on Lambda and how it reaches the GPUs.

Locations (2)

Bellevue, Washington, United States
San Francisco, California, United States

Compensation

We offer generous cash & equity compensation

Responsibilities

Find the Real Problem
Decide What Matters
Write the Definition
Price and Package It
Deliver With Engineering

Requirements

Nice to have: object storage
Nice to have: S3-compatible interfaces
Nice to have: parallel or shared file systems
Nice to have: high throughput
Nice to have: quality of service controls

Skills

product management

Senior Software Engineer, Storage

Crusoe · Posted Nov 13, 2026

Open

San Francisco, California, United States
On-site
Full-time · Senior
$170K–$190K per year
5+ years

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As a Senior Software Engineer on our storage team, you'll be joining our core engineering team to design, build, and optimize our next-generation cloud storage products.

Compensation

Compensation will be paid in the range of up to $170,000-$190,000 + Bonus. Restricted Stock Units are included in all offers.

Responsibilities

Building multi-petabyte cloud storage platform
Building core components of foundational storage products for AI and ML workloads
Contributing to distributed file, block and object storage products with a focus on filesystem based solutions
Design and implement high-performance, scalable, and resilient storage architectures
Proposing and prototyping novel strategies to scale performance and system throughput

Requirements

Nice to have: AI/HPC storage solutions
Nice to have: Parallel Filesystems
Nice to have: Petabyte+ scale Object Storage
Nice to have: RDMA
Nice to have: Infiniband

Skills

Go Java C/C++Rust Distributed storage infrastructure software

Senior Storage Engineer

Lambda · Posted Nov 13, 2026

Open

San Jose, California, United States +2 more
Hybrid
Full-time · Senior
8+ years

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Focus on design, standards, and domain expertise for high-performance distributed storage solutions supporting AI training and inference at scale.

Locations (3)

San Jose, California, United States
San Francisco, California, United States
Bellevue, Washington, United States

Responsibilities

Author comprehensive performance and correctness validation plans for new storage tiers
Draft Standard Operating Procedures (SOPs) and alerting/monitoring frameworks to scale operations
Own the access-control lifecycle for storage solutions, managing both vendor and customer permissions
Lead technical communications with vendors and act as a subject matter expert (SME) for customer success and complex account assistance
Identify and act on signals for operational ownership; mentor junior engineers in specific storage sub-domains

DevOps Engineer - Foundations

1GLOBAL · Posted Nov 12, 2026

Open

São Paulo, São Paulo, Brazil
Contract · Mid
5+ years

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Administer self-managed databases and cloud-hosted Oracle database for BRM, run and patch Linux VMs and on-prem machines, build VM images with Packer and manage configuration with Ansible, operate site-to-site and client VPNs, and operate OpenStack.

Compensation

CLT contract — enjoy job stability and reliable benefits that value your work Quarterly performance bonuses to reward your hard work and achievements Meal allowance paid into Caju card — R$100 per working day Health insurance with SulAmérica — 50% covered by the company Extended parental leave — 180 days of maternity leave and 20 days of paternity leave. Daycare allowance provided to mothers with children under 3 years old — R$500 per month per child

Responsibilities

Tune and optimise the performance of MySQL databases
Upgrade systems to the latest supported version
Automated regular patching for VM’s & EC2 instances
Administer self-managed databases and the cloud-hosted Oracle database for BRM: backups, replication, upgrades and performance
Run and patch Linux VMs and on-prem machines

Requirements

Nice to have: Packer
Nice to have: Terraform
Nice to have: Self-hosted GitLab administration
Nice to have: Nexus
Nice to have: Ceph

Skills

Linux administration (RHEL or similar)MySQL PostgreSQL

Senior Backend Engineer (Golang and Kubernetes)

NetApp, Inc. · Posted Nov 11, 2026

Open

Bangalore, India
Full-time · Senior
10–12 years

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As a Senior Member of Technical Staff, you will be a hands-on technical leader responsible for architecting, designing, developing and delivering highly scalable, resilient, distributed services for NetApp Console.

Responsibilities

Design and develop scalable, highly available distributed systems and microservices
Build cloud-native solutions across AWS, Azure, and GCP
Develop and troubleshoot production-grade applications using Kubernetes, Docker, and Linux
Work with VMware vSphere or equivalent virtualization platforms
Lead technical design discussions, code reviews, and key architecture decisions

Requirements

Bachelor of Science Degree in Computer Science or Information Technology
Master Degree
PhD
Nice to have: GPU/AI cloud infrastructure exposure

Skills

Distributed systems Microservices System design Cloud-native architecture Go Java

Senior Systems Engineer (Linux)

Eagle Seven · Posted Nov 9, 2026

Open

Chicago, Illinois, United States
Senior
$180K–$180K per year
7+ years

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Eagle Seven is seeking a Senior Systems Engineer to lead the technical design, planning, and implementation of our hardware and operating system strategies for trading systems.

Compensation

The minimum base salary for this role starts at $180,000. This role is eligible for a discretionary performance bonus as part of the total compensation package, in addition to the benefits listed above.

Responsibilities

Driving the planning and execution of technical projects focused on optimizing Linux-based trading systems, including hardware, network, and OS improvements.
Managing and enhancing a global trading infrastructure to ensure high availability, performance, and scalability.
Developing solutions to automate and resolve a wide range of infrastructure tasks and issues to ensure seamless operations along with reducing manual intervention.
Diagnosing and troubleshooting complex hardware and software problems, providing rapid resolutions to minimize downtime.
Overseeing system installations, ensuring they are maintained to the latest firm standards.

Skills

Linux system administration kernel management file systems networking

Senior Software Engineer - Storage

Radiant · Posted Nov 9, 2026

Open

United Kingdom
Senior
5+ years

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Design, build, and operate storage services and data capabilities for demanding cloud and AI workloads on Radiant's platform.

Responsibilities

Design, build, and own components of Radiant's storage services
Build storage systems across object, block, and file, including control plane and data plane services
Turn product and customer requirements into well-designed APIs and implementations
Deliver against performance, durability, availability, and consistency targets of the storage platform
Profile, benchmark, and tune throughput, latency, and IOPS for AI training, inference, and other data-intensive workloads

Skills

distributed storage systems storage-heavy cloud infrastructure systems languages such as Go object storage block storage file storage snapshots replication

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