ScaleOps
Technology, Information and Media
Real-Time Automated Cloud Resource Management. Cut your Kubernetes costs by up to 80%, boost performance and reliability using real-time, context-aware automation.
Is ScaleOps hiring?
Yes. As of November 12, 2026, ScaleOps has 108 open roles on Metaintro. 6 were posted in the last 30 days.
Open roles
Newest first. Pay shown when the posting lists it.
- Full Stack EngineerDeveloperTel Aviv, IsraelTel Aviv, Israel——yesterday
- Data EngineerDeveloperTel Aviv, IsraelTel Aviv, Israel——11d ago
- AI Platform Team LeadDeveloperTel Aviv, IsraelTel Aviv, Israel——17d ago
- AI Platform EngineerDeveloperTel Aviv, IsraelTel Aviv, Israel——17d ago
- Director of Product - ILProduct/Project ManagementTel Aviv, IsraelTel Aviv, Israel——22d ago
- Infra Engineer Team Lead - ILDevOpsTel Aviv, IsraelTel Aviv, Israel——29d ago
- Infra Engineer Team Lead - USDevOpsRemote (Oregon) · RemoteRemote (Oregon)Remote—Oct 7, 2026
- AI Engineer - USArtificial Intelligence/Machine LearningRemote (Oregon) · RemoteRemote (Oregon)Remote—Oct 7, 2026
Hiring pattern
How fast ScaleOps is adding roles, and how they're set up.
New roles each monthRoles first posted in the month
How roles are set upShare of open roles
Customers
All 11 companies ScaleOps names as customers.
What their customers say
Quotes from people at ScaleOps's customers.
“ScaleOps automatically optimizes Wiz’s containers in production according to our real-time needs, improving performance even during demand spikes. While dramatically reducing our K8s costs, the hands-free automation freed our teams from dealing with ongoing configurations, which is critical in our rapidly ever-growing environment”
“ScaleOps automation has improved reliability, helping us maintain consistent application performance even during periods of high demand.”
“ScaleOps eliminates the manual effort of constantly tuning resource requests and limits in our Kubernetes clusters. It automatically adjusts workloads to the right size, helping us reduce over-provisioning and keep our cloud costs low.”
“I appreciate how easy it was to install ScaleOps and how it instantly reduced the cognitive load on our application teams, making it much simpler for them to deploy their workloads effectively. The troubleshooting features are excellent and have proven invaluable when assisting assisting our app teams.”
“Before ScaleOps, managing workload scaling required constant tweaking and monitoring. Now, it’s completely automated. We spend less time managing infrastructure and more time building products. It’s made our Kubernetes environment far more efficient and predictable.”
Show 16 more quotesShow fewer
“ScaleOps helps reduce cloud costs significantly without affecting performance”
“ScaleOps allows us to dramatically reduce costs and keep our cloud bill in check.”
“Very easy to get started and implement. Great customer support, we have a dedicated Slack channel where we get responses very quickly. ScaleOps keeps adding more and more useful features.”
“ScaleOps makes Kubernetes resource management effortless. Its recommendations are accurate, automation is reliable, and the UI provides instant clarity on where optimization is needed. We’ve significantly reduced wasted resources and improved performance stability since adopting it.”
“ScaleOps’ automation optimizes our production apps in real time, cutting cloud costs and eliminating repetitive manual work so our teams can focus on core projects. The quick setup delivered immediate value.”
“We came in looking to save costs, but not at the expense of performance. With ScaleOps’ automated resource optimization, we got both, and saw dramatically high cost savings without compromising on reliability.”
“ScaleOps drove major cloud cost savings for us. The platform is reliable, easy to deploy, and the support team is exceptional.”
“Manually tuning CPU and memory requests or limits across workloads was eating up our engineers’ time. With ScaleOps automating resource optimization at the pod level, we’ve eliminated constant config changes and cut cloud costs significantly.”
“Apart from what ScaleOps had already reduced, bin packing brought the cluster cost down by about 20 percent. But we had to have ScaleOps in place to do bin packing.”
“We saw a positive return on the initial contract commitment without having to dedicate substantial engineering effort building a solution.”
““Manually tuning has essentially disappeared from our workflow. Developers can now focus on what matters most: building the product. Now it’s all handled autonomously.””
“ScaleOps revolutionized our Kubernetes management at AccessFintech. By automating resource optimization, we've seen a dramatic reduction in CPU requests, ensuring optimal performance without over-provisioning. This shift has not only saved costs but also freed up our teams to focus on innovation and strategic initiatives.”
“We significantly reduced our cloud spend without touching a single workload manually. In production environments as complex as ours, that kind of impact is rare. Using the ScaleOps Platform is like having a whole department of full-time engineers whose only job is to make sure every workload has the exact amount of resources it needs, 24/7 .”
“ScaleOps eliminated the friction between platform and app teams. It’s automated, it’s trusted, and it works in production, without the usual overhead.”
“Before ScaleOps, we had almost no control over what developers were deploying into our production clusters. They were just overprovisioning everything, requesting four CPUs for workloads that barely used half a core. We tried building dashboards so teams could track actual usage, but we’d still have to chase them down constantly to tune things. And even then, nothing changed.”
““ScaleOps delivered for us in ways that we proudly deliver for our customers. Becoming more efficient, simplifying the infrastructure, flawless performance, and ultimately something so smooth it’s never in the way.””
AI launches and partners
What ScaleOps has launched and who it works with on AI.
- LaunchReplica Optimization for AI InferenceScaleOps autonomously manages minimum replica counts, scaling thresholds, and scaling triggers based on how AI workloads behave.
- LaunchAutomated Fractional GPUsScaleOps detects AI workloads’ GPU usage behavior, assigns fractional GPU policies, and manages fractional GPU allocation in real time.
- LaunchAI SRE Agent in SlackUsers can tag the ScaleOps AI SRE Agent in a Slack channel to ask questions, investigate cluster issues, and troubleshoot with their team.
- LaunchAI SRE AgentThe ScaleOps AI SRE agent analyzes live cluster state, surfaces opportunities, and enables controlled execution of approved optimizations.
Skills they ask for
Most frequent across open postings.
Most requested skills
- Kubernetes
- Go
- Cloud-native technologies
- Salesforce
- Helm
- Container technologies
- Technical presales
- Sales technology
- Networking
- Python
- Data-driven sales
- Direct prospecting
Tech stack
- CMS
- WordPress
- HubSpot CMS
- Analytics
- Google Tag Manager
- Mixpanel
- Amplitude
- Marketing
- HubSpot
- Libraries
- Tailwind CSS
- Alpine.js
- Swiper
- Security
- Cookiebot
Company facts
- Headquarters
- Tel Aviv, Israel
- Founded
- 2022
- Industry
- Technology, Information and Media
- Sector (NAICS)
- Information
- Peer
- FAR Inspections
- Website
- scaleops.com
- Careers
- scaleops.com/careers
Sources: Headquarters from Wikidata
Roles by location
Where ScaleOps is hiring. Pick a city to see its roles.
Similar companies
Companies in the same industry as ScaleOps that are hiring now.
Questions about ScaleOps
- Is ScaleOps hiring?
- Yes. As of November 12, 2026, ScaleOps has 108 open roles on Metaintro. 6 were posted in the last 30 days. The most are in Sales (32), Developer (16), and DevOps (9).
- Where is ScaleOps hiring?
- ScaleOps is hiring in Tel Aviv, Israel, Remote, United States, United Kingdom, and Boston, with the most open roles in Tel Aviv.
- Does ScaleOps offer remote or hybrid work?
- 1% of open roles are hybrid and 39% are remote.
- Who are ScaleOps's customers?
- ScaleOps names 11 customers, including Adobe, Roku, Booksy, Island, and Rokt.
- What skills does ScaleOps look for?
- Its open roles most often ask for Kubernetes, Go, Cloud-native technologies, Salesforce, and Helm.
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