דרושים » מחשבים ורשתות » Senior FinOps Engineer

we are looking for a Cloud FinOps Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Proactively identify and execute cost-saving opportunities through rightsizing, optimized scaling strategies, lifecycle management, and architectural improvements without impacting performance or velocity.
Collaborate with R&D and DevOps to evaluate the cost-impact of architectural decisions, ensuring "cost-by-design" is a core part of our infrastructure evolution.
Design and maintain granular visibility into cloud spend, transforming complex data into actionable insights that inform relevant teams and empower them to take ownership of their usage.
Take ownership of cost operations across AWS, Azure, GCP, and OCI, establishing consistent tagging policies, automated guardrails, and governance frameworks.
Manage and optimize our portfolio of RIs, Savings Plans, and Spot instances to maximize our cloud ROI.

we are looking for a FinOps Engineer.
In this role, you will build and own the techno-financial operations practice for cloud, infrastructure, AI, data, and third-party engineering services. You will work closely with Engineering, DevOps, AI Infrastructure, Product, and Finance to make infrastructure spend transparent, predictable, optimized, and aligned with business value.
The role is in the junction of engineering and finance, You will be responsible for creating visibility into cloud and infrastructure costs, driving optimization initiatives, improving forecasting accuracy, defining cost governance practices, and helping engineering teams make better cost-aware technical decisions without slowing down delivery.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Staff Software Engineer - C++ Endpoint Security, Collection Engineering (Data Protection Team), you will be tasked with designing and implementing low-level C++ or Rust agent modules as a foundational member of our newly formed Data Protection unit. You will research and develop high-fidelity sensors and robust, scalable code to monitor and prevent sensitive data leakage across multiple operating systems. By building these mission-critical collection engines, you will play a key role in defining the technical architecture for our companys next generation of data-centric security.
What will you do?
Primary responsibilities include:
Lead, design and implement low-level agent modules (using C++ or Rust), capable of monitoring data access and movement with minimal performance overhead.
Research and evaluate technologies for building high-fidelity sensors that track data access.
Develop robust, scalable, and performant code that operates reliably across multiple operating systems and environments.
Collaborate closely with Core Agent, Backend, and Frontend teams to deliver a unified, user-facing, next-generation data protection product.

we are seeking a Hands-on Architect to design, build, and evolve the core of next-generation AI cybersecurity platform.This is not an ivory-tower role; it is for a builder at heart. You will write code, build functional prototypes, and own critical services from inception to production. This role demands a unique blend of deep, code-level execution with a broad, system-wide architectural vision that spans our entire data, cloud, and AI stack.
Responsibilities:
Rapidly code and build functional proofs of concept (PoCs) and prototypes to explore and validate new architectures, data platforms, data processing frameworks, and GenAI capabilities.
Validate technical feasibility, scalability, and business impact through working software, not just diagrams or documents.
Partner closely with engineering, product and data science teams to translate emerging technologies into production-ready, scalable systems.
Lead architecture design reviews, proactively identify scalability and performance bottlenecks, and embed security principles into the design process from day one.
Serve as a technical leader and mentor, elevating the team's skills through pair programming, in-depth code reviews, and deep-dive sessions on system design and software craftsmanship.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-centric technology, representing the pinnacle of computer vision, machine learning, and generative AI within the automotive sector. With over $380M in funding and strategic partnerships with industry giants such as Toyota, Amazon, General Motors, Volvo, and Hertz, our technology is utilized in manufacturing plants, dealerships, wholesale auctions, delivery fleets, seaports, and more. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity, encourages teamwork, and strives for excellence.
We are looking for a driven, systems-minded Release Engineer to join our AI-Ops team. In this role, you will be the execution layer of our delivery pipeline—the technical gatekeeper who owns the safe, predictable deployment of software and AI models to global edge and cloud systems. You will balance high-speed deployment velocity with rock-solid operational stability. But you won't just be deploying code; you'll be acting as an internal project manager, driving our organizational roadmap by building Agentic AI tools and automating processes to scale our delivery capabilities continuously.
A day in the life and how you’ll make an impact:
* Act as the technical gatekeeper, validating and transitioning versions through strict release gates. Enforce rigorous governance and ensure strict "Definition of Done" criteria are met.
* Lead risk-mitigated rollouts across diverse global hardware environments.
* Monitor real-time deployment performance, Quality of Service (QoS), and algorithmic accuracy, making decisive, crisis-resilient calls to proceed, pause, or rollback to prevent regressions.
* Define and execute comprehensive test plans that verify cross-team dependencies. Validate that new versions meet detection accuracy requirements without degrading infrastructure.
* Triage complex production failures. Look beyond immediate issues to identify root causes using system metrics, logs, and container states, delivering actionable evidence to R&D.
* Build and integrate Agentic AI and LLM-based tools to accelerate log analysis, risk assessment, and deployment troubleshooting.
* Architect automated workflows to eliminate manual overhead and enhance system observability with robust monitors and dashboards.

As a Senior DevOps Engineer within the XSPM team, you will be a critical, go-to technical expert responsible for the health, performance, and evolution of our database and infrastructure systems. When production databases degrade or behave unexpectedly, you are the person who dives deep, investigating root causes hands-on, understanding the underlying mechanics of the problem, and designing lasting solutions. Your mastery of database systems makes you the authority the team relies on to diagnose complex performance issues, architect better data solutions, and ensure our infrastructure scales with confidence.

Beyond databases, you will drive our DevOps practices end-to-end - CI/CD pipelines, infrastructure automation, and operational reliability across the XSPM platform. This is a high-impact, highly visible role at the intersection of database engineering and DevOps, where your expertise directly shapes how the team delivers and operates at scale.

We're a highly collaborative, friendly, inclusive and diverse group that prizes collaboration over competition. We provide opportunities to learn new skills, mentor fellow engineers, and contribute to the direction of both the team and the products for which we're responsible. We work in a distributed, high-trust environment where you manage your own time and have the flexibility to balance your work and personal life.

What You Will Do:

Serve as the team's database expert, the first person to investigate, diagnose, and resolve complex performance problems across our production database systems (MongoDB, OpenSearch, PostgreSQL, Cassandra).

Perform deep-dive root cause analysis on database performance issues, understanding query execution internals, resource consumption patterns, cluster behavior, and system-level interactions to identify the real source of problems, not just symptoms.

Design and propose better database architectures and solutions, recommending when to re-architect data models, migrate workloads, introduce new technologies, or redesign how services interact with their data layer.

* You will put in every effort within the team to ensure the data architecture is well designed.

Own capacity planning, scaling strategies, and high-availability designs for database clusters, ensuring systems are built to handle the team's growth trajectory.

Act as the bridge between development and infrastructure, advising engineers on how their application patterns impact database performance and guiding them toward sustainable solutions.

Build and maintain CI/CD pipelines, infrastructure-as-code (Terraform, Helm, Kubernetes manifests), and automated deployment workflows for the xspm team's services.

Design and manage observability stacks, dashboards, alerting rules, and SLOs, to maintain best-in-class availability for critical data pipelines and services.

Drive infrastructure automation to reduce operational toil, including automated scaling, self-healing systems, and configuration management.

Participate in on-call rotations, incident response, and post-incident reviews, driving root-cause analysis and long-term reliability improvements.

Evaluate and adopt new database technologies and infrastructure tooling that align with the team's evolving data architecture needs.

Were looking for a DevOps Architect to help shape the infrastructure strategy behind our Revenue AI platform. This role sits at the center of our engineering ecosystem, driving architectural direction, improving operational excellence, and enabling teams to scale with confidence. Youll work across engineering groups to identify systemic gaps, define scalable standards, and accelerate execution without becoming a delivery bottleneck.
Youll Own:
Infrastructure Strategy & Standards: Define and evolve our cloud and infrastructure architecture across Kubernetes, networking, observability, security, and data platforms. Establish clear standards and scalable best practices that enable teams to move faster with consistency and reliability.
Technical Debt & System Health Visibility: Continuously identify, prioritize, and drive resolution of cross-team technical debt, architectural gaps, and operational inefficiencies. Create organizational visibility around the most critical infrastructure challenges and opportunities.
Cross-Org Technical Leadership: Partner closely with engineering leaders and teams to influence architectural decisions, challenge assumptions, and ensure solutions are scalable, maintainable, and secure. Lead through expertise and influence, not direct ownership.
Developer Enablement & Engineering Velocity: Provide frameworks, tooling direction, and lightweight prototypes or POCs that empower teams to execute independently with higher quality and efficiency.
Critical Infrastructure Initiatives: Drive major cross-functional initiatives around reliability, scalability, security, observability, and cost optimization from identification through execution and measurable impact.
Youll Solve:
Scaling Complexity: How do we maintain simplicity, reliability, and operational clarity while supporting rapid growth and increasingly complex distributed systems.
Cross-Team Alignment: How do we create architectural consistency across independent engineering groups without slowing down innovation and execution?
Operational Excellence at Scale: How do we proactively surface and resolve systemic weaknesses before they become production issues?
Balancing Speed & Sustainability: How do we enable fast delivery today while protecting the long-term health and scalability of the platform?
AI Infrastructure Evolution: How do we build infrastructure that supports modern AI/ML workloads, GPUs, large-scale data pipelines, and future platform requirements
Youll Impact:
Platform Reliability & Scalability: Your work will directly improve the resilience, scalability, and operational maturity of our infrastructure platform.
Engineering Efficiency: By creating better standards, tooling, and architectural guidance, youll act as a force multiplier for engineering teams across the company.
Long-Term System Health: Youll help reduce operational friction, minimize technical debt, and ensure our infrastructure can support long-term business growth.
Execution Quality Across Teams: Your influence will elevate engineering quality, decision-making, and operational discipline throughout the organization.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
What are we looking for?
As a Engineering Manager - Windows Endpoint, you will be tasked with taking end-to-end ownership of features from ideation to production within the Windows Endpoint Ecosystem.
We require a leader who can explore, design, recommend, and drive innovative ideas from scratch, ensuring architectural excellence and a strong engineering culture.
Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
What will you do?
Primary responsibilities include:
You will have the chance to manage a team of engineers on the Windows Endpoint, solving the most complicated real-world problems.
You will continuously enrich your knowledge and experience with Windows OS internals and the EPP/EDR ecosystem.
You will be a core part of designing and developing the capabilities that will improve the product's stability and make the user experience smoother.
You will be directly accountable for production stability and operational integrity while mentoring a global engineering bench.

As an Engineering Manager at Cortex Cloud, you will lead a team of ~6 engineers operating in one of our most complex and cross-functional domains. This role requires a strong blend of people leadership and deep technical expertise, including systems design and large-scale distributed cloud architectures. You will be responsible for driving the design and delivery of complex, high-impact systems, while ensuring the team executes against the roadmap with both speed and engineering rigor.
Key Responsibilities
Build, mentor, and lead a high-performing software engineering team, fostering a culture of empowerment and driving both individual growth and collective impact.
Partner closely with Product Management and cross-functional teams (Infrastructure, Research, UX) to define priorities and shape multi-quarter product roadmaps, ensuring alignment across all stakeholders.
Own the end-to-end software development lifecycle, translating product strategy into executable plans and ensuring consistent, high-quality, on-time delivery.
Provide architectural leadership for scalable, distributed systems operating at petabyte scale, guiding the design and implementation of high-throughput, cloud-native backend microservices.
Drive production readiness by enforcing best practices around deployment, observability, reliability, and runtime stability, focusing on the details to ensure operational excellence.
Align stakeholders across business units through clear communication of technical strategy, trade-offs, priorities, risks, and execution plans.
Engage directly with strategic customers to lead technical deep dives and architecture reviews, and to influence future product direction.
Foster a culture of high engineering standards, accountability, and continuous improvement, with a strong emphasis on quality and security.