ScaleOps
scaleops.com
Actively hiring
Cloud Cost & Multi-Cloud Management
Virtualization & Containers
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Total raised
$209.5M
3 rounds on record
Latest round
$130M
Series C · Mar 2026 · 6 mo ago
Team
501-1000
employees, estimated range
Hiring now
56
+7 posted in 30 days
Backers
3
NFX, Insight Partners
The money's age
Fresh money
6 months since the last round · and hiring
Momentum
50/100
hiring for its size, a new city, in the news, fresh money
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Mar 30
Raised a round Series C $130M · TechCrunch
Nov 12, 2024
Raised a round Series B $58M · led by Lightspeed Venture Partners · PRNewswire
Dec 20, 2023
Raised a round Venture round $21.5M · led by Lightsp · Pulse 2.0
2022
Founded
Tractionpublic signals, read monthly
Web presence
top 0.46%
of 133.2M domains by links, Common Crawl
Hacker News stories
3
best: 7 points
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Series C | Mar 2026 | $130M | — | TechCrunch |
| Series B | Nov 2024 | $58M | Lightspeed Venture Partners lead | PRNewswire |
| Venture round | Dec 2023 | $21.5M | Lightsp lead | Pulse 2.0 |
Backed byfrom the funds' portfolios and accelerator catalogs
NFX 
Insight Partners 
Lightspeed Venture Partners Investors in similar startupsfunds that back the companies most like this one
Similar startupsby what they do, their industry and backers
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Headquartered in San Francisco, California, Pump (Pump.co) is an AI-driven cloud cost management and infrastructure optimization platform…
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Overview
ScaleOps is a cloud infrastructure automation company headquartered in Tel Aviv, Israel, and founded in 2022. The company provides an autonomous platform for Kubernetes resource management that continuously optimizes CPU, memory, and GPU allocations for containerized workloads in real-time. It serves global enterprises and AI-driven organizations by reducing cloud expenditures and improving application performance through automated pod rightsizing and node consolidation.
News
DRA Keeps Its Promises. Nothing Checks What You Actually Used.
Kubernetes DRA GPU enforcement is the set of controls that decide what a workload may hold and what it may consume on an accelerator. Dynamic Resource Allocation governs the first half at scheduling time and delegates the second half entirely to the vendo
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Report
Kubernetes 1.37 Resource Management: Primitives Get Reflexes
A hands-on look at Kubernetes 1.37 resource management. Every finding below was reproduced on kubeadm v1.37.0, on freshly built clusters, in August 2026. Grab a pan handle that has been sitting over a low flame and your hand is back at your side before yo
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Report
The Real Cost of Always-On AI Agents on Kubernetes (and How to Kill Idle GPU Burn)
Running AI agents on Kubernetes means hosting long-lived, stateful agent processes as workloads on a cluster. In most production deployments the agent process and the GPU are in different pods. The agent itself is orchestration logic, tool definitions, an
Read more
Report
GPUs in Kubernetes: How It Actually Works Under the Hood
GPUs in Kubernetes are the most expensive line item in almost every AI infrastructure budget, and the platform manages them worse than almost anything else it schedules. A CPU request can be fractional, throttled, and reclaimed the moment a pod goes idle.
Read more
Report
Kubernetes Dynamic Resource Allocation (DRA): What It Changes for GPU and Hardware Scheduling
Key Takeaways Kubernetes Dynamic Resource Allocation (DRA) allows workloads to request specialized hardware by attributes, not just by integer device counts. DRA shifts device scheduling from "give me one GPU" to "give me a device that matches these requi
Read more
Report
How to Deploy vLLM on Kubernetes: The Complete Guide to LLM Inference in Production
Running vLLM Kubernetes workloads in production is a different problem from running vllm serve on a workstation. The model is the easy part. The work is everything between a single process holding a GPU and a resilient inference service other teams can ca
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Report
GPU Cost Optimization in Kubernetes: From Waste to Efficient AI Infrastructure
Key takeaways Kubernetes GPU cost optimization is the practice of measuring real GPU compute and memory utilization, then matching workload allocation to actual demand rather than reserving entire devices. Without optimization, production inference worklo
Read more
Report
Kubernetes Requests and Limits: The Complete 2026 Guide to Getting Them Right
Kubernetes requests and limits at a glance Requests guide pod scheduling; limits control runtime enforcement. Inflated requests waste schedulable capacity and can trigger unnecessary node scale-out. CPU limits can throttle latency-sensitive services, even
Read more
Report
HPA vs VPA: Kubernetes Autoscaling Compared (2026 Guide)
The decision between scaling out and scaling up is not just technical, it is architectural. It defines your cost structure, your performance boundaries, and how your team will spend their time: optimizing systems, or fighting fires. In Kubernetes, Horizon
Read more
Report
Kubernetes Cost Optimization: A 2026 Guide to Reducing Cloud Spend at Scale
The two phases of Kubernetes cost optimization At first, everything in your Kubernetes cluster looks fine. Workloads are running, autoscaling is on, the dashboards are green. Then the cloud bill arrives, and it is 40% higher than last quarter for the same
Read more
Report
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Tech stack
Technologies named in job postings at ScaleOps over the last 12 months, by layer, with the share of postings for each.
Technologies in use
57
Postings analysed
63
Stack modernity
79/100AI adopter
Languages
Go13%
Python8%
Bash3%
TypeScript2%
Frameworks & libraries
LangChain3%
LangGraph3%
Pydantic AI3%
React.js2%
Cloud & platforms
Wiz100%
Kubernetes67%
AWS21%
Azure19%
AI & ML
LLM5%
Claude2%
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Full ScaleOps tech stack
57 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
69/100
Growing
Open positions
56
5 opened / 4 closed in 30 days
Median time-to-fill
49 days
faster than 28% of the market
ATS activity
Every ~4 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Leadership
15% ▼
Sales
15% ▼
DevOps
13% ▲
Marketing
13% ▼
Solutions
13% ▼
Backend
6% ▲
Activity Timeline
New location: United States
Oct 2026
New location: United Kingdom
Sep 2026
Added VPN to stack
Sep 2026
Added TCP/IP to stack
Sep 2026
Added Okta to stack
Sep 2026
Added DNS to stack
Sep 2026
Added DLP to stack
Sep 2026
Added DHCP to stack
Sep 2026
Added Model Context Protocol to stack
Sep 2026
Added Microsoft Excel to stack
Sep 2026
Added Claude Code to stack
Sep 2026
Added Machine Learning to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
2
Countries
2
Busiest office
Tel Aviv
Loading the map
Headquarters
Builds here
Office with open vacancies
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Tel Aviv
Israel
HQ
IL
30 open roles 31 posted in 90 days 33% engineering 500-1000 est. staff
hires for Leadership, DevOps, Backend
Boston
United States
USA
1 open roles 2 posted in 90 days 100% engineering 100% remote 10-50 est. staff
hires for DevOps
Jobs
≈ $89k – $231k per year (Estimated) • In office • 5+ years exp • Tel Aviv
Go
GCP
Helm
Azure
AWS
Kubernetes
Platform Engineering
IAM
Cybersecurity
Wiz
Apply
≈ $134k – $244k per year (Estimated) • Remote (United States) • 5+ years exp • United States
Go
GCP
Helm
Azure
AWS
Kubernetes
Platform Engineering
IAM
Cybersecurity
Wiz
Apply
≈ $170k – $287k per year (Estimated) • Remote (United States) • 4+ years exp • Bachelor's Degree • United States
Go
Helm
Istio
Prometheus
Kubernetes
Cybersecurity
Wiz
Apply
≈ $133k – $241k per year (Estimated) • Remote (United States) • 2+ years exp • United States
Python
Cursor
LangGraph
Windsurf
LangChain
AI Agents
Pydantic AI
LLM
RAG
Multi-Agent Systems
Tool Use
Machine Learning
DevOps
FinOps
Cybersecurity
Wiz
Management
Slack
Jira
Apply
≈ $113k – $207k per year (Estimated) • Remote (United States) • 5+ years exp • United States
Go
GCP
Helm
Azure
AWS
Kubernetes
Platform Engineering
IAM
Cybersecurity
Wiz
Apply
≈ $109k – $210k per year (Estimated) • Remote (United States) • 4+ years exp • Bachelor's Degree • United States
Helm
Istio
Prometheus
Kubernetes
Cybersecurity
Wiz
Apply
≈ $79k – $196k per year (Estimated) • In office • Tel Aviv
Kubernetes
Cybersecurity
Wiz
Design
Figma
Apply
≈ $111k – $268k per year (Estimated) • In office • 7+ years exp • Bachelor's Degree • Tel Aviv
Kubernetes
Cybersecurity
Wiz
Apply
≈ $169k – $335k per year (Estimated) • Remote (United States) • United States
Kubernetes
Cybersecurity
Wiz
Apply
≈ $68k – $181k per year (Estimated) • In office • 3+ years exp • Tel Aviv
Wiz
Management
Agile
Apply
In office • Tel Aviv
GCP
Azure
AWS
Kubernetes
Cybersecurity
Wiz
Design
Figma
Sketch
Apply
In office • 5+ years exp • Tel Aviv
JavaScript
TypeScript
React.js
DevOps
GCP
Azure
AWS
Kubernetes
Cybersecurity
Wiz
Design
Figma
Apply