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we are seeking a skilled and experienced DevOps Engineer to design, plan and implement scalable, reliable and robust system infrastructure to support the companys rapid business and traffic growth.
You will join an innovative, high-performance team and work with cutting-edge technologies in a dynamic and agile environment.
What you'll be doing:
You will take an active part in the challenge of managing a highly available and fault tolerant production environment.
You will assist in identifying and resolving performance concerns and operational bottlenecks, debug complex pitfalls and advise on system architecture solutions.
You will build, design and maintain self-serve devex tools to increase development velocity and satisfaction.
You will push and impact our systems to be more cost effective, performant and simple to use and extend.

Develop and apply automation/testing/CICD for system-level software in cloud environments (AWS/Azure/GCP/Private etc.)
Liaise with R&D and delivery/operations teams to plan and design control and tests for new features, software deployment, recreation of cases, and validation of bugfixes
Develop automations for DevOps environment
Develop and enhance pipelines and infrastructure
Develop tracking and automation for logs and results through SQL queries on databases
Develop skills for AI tools in the DevOps environment

As a growing startup, this role will continue to evolve, and were looking for team members who are comfortable building operational processes that scale with the company.

The Operations Lead is responsible for end-to-end execution of customer deployments, owning all non-engineering aspects of delivery across pilots, initial deployments, and scaled rollouts. This role operates within a cross-functional scrum led by a Field Deployment Engineer (FDE), ensuring projects are delivered on time, at quality, and at scale.

Responsibilities:

Own end-to-end deployment execution, including planning, timelines, and rollout strategy
Drive project plans, milestones, and execution tracking across multiple workstreams
Manage field operations, installers, vendors, and site readiness
Coordinate cross-functional teams (Engineering, Product, Sales, Customer Success)
Act as the operational point of contact for customers during deployments
Identify and mitigate risks, ensuring on-time delivery and high-quality execution
Own logistics and onsite readiness for pilots, deployments, and rollouts
Build scalable processes, templates, and best practices for deployment operations

we are looking for a Senior Software Engineer to join the AI Engineering team in a role focused on embedding directly with business teams to drive AI transformation. Be at the forefront of Applied AI. This role is outward-facing: you will engage with GTM and G&A functions - Sales, Marketing, Finance, HR, Legal, Customer Success - and fundamentally alter how these teams operate with AI.
What you will be doing:

Embed with GTM and G&A teams (Sales, Marketing, Finance, HR, Legal, Procurement, Customer Success) to identify, scope, and prioritize the highest-impact AI opportunities within each function, and act as both product manager and engineer for these initiatives.
Own the full lifecycle of each solution, from requirements gathering through deployment to adoption measurement and iteration, with a focus on business outcomes.
Serve as the primary technical partner and AI advisor for business function leaders, translating their needs into engineering plans and helping them develop their own AI fluency.
Develop and deliver hands-on AI enablement and training for non-R&D teams, building their ability to use AI tools independently and effectively.
Collaborate with the team to leverage shared infrastructure (MCP servers, RAG systems, evaluation frameworks, guardrails) while feeding back requirements from the field.
Measure and report on AI adoption impact - unlocking new opportunities, process improvements, and capability gains - to build the case for continued investment and to guide prioritization.

We are looking for a technically strong and AI-savvy SRE Team Lead & Escalation Manager to own production reliability, incident management, and cross-functional prioritization. This role leads our AI-driven automation strategy, drives self-healing infrastructure development, and sets a new standard for modern reliability engineering.
Key Responsibilities
Lead and mentor the SRE team; improve monitoring, alerting, and observability.
Own production incidents and escalations end-to-end - from mitigation to RCA and corrective action.
Lead the design and development of self-healing systems capable of detecting, diagnosing, and remediating incidents autonomously.
Drive automation of repetitive operational workflows using AI/ML-based solutions to reduce toil and MTTR.
Manage the cross-functional Squad handling customer and production issues; align priorities across Support, QA, R&D, and Sources.
Track key operational metrics and lead long-term reliability improvements.

we are seeking a Senior Software Engineer (Data Engineering). You will be responsible for designing and building all data, ML pipelines, data tools, and cloud infrastructure required to transform massive, fragmented data into a format that supports processes and standards. Your work directly empowers business stakeholders to gain comprehensive visibility, automate key processes, and drive strategic impact across the company.

Responsibilities

Design and Build Data Infrastructure: Design, plan, and build all aspects of the platform's data, ML pipelines, and supporting infrastructure.
Optimize Cloud Data Lake: Build and optimize an AWS-based Data Lake using cloud architecture best practices for partitioning, metadata management, and security to support enterprise-scale operations.
Lead Project Delivery: Lead end-to-end data projects from initial infrastructure design through to production monitoring and optimization.
Solve Integration Challenges: Implement optimal ETL/ELT patterns and query techniques to solve challenging data integration problems sourced from structured and unstructured data.

We are looking for a passionate Elastic Engineer to join a dynamic, data-driven environment. This is a hands-on role focused on building advanced monitoring and cybersecurity solutions, working with large-scale data, and partnering with clients to deliver impactful insights and detection capabilities.
Role Responsibilities:
Ongoing operation and maintenance of enterprise Elastic environments.
Monitoring, alerting, and system management.
Integration with other cloud and platform services.
Load and performance testing.
Design and implementation of Kafka-based ingestion pipelines into Elastic.
Continuous improvement, stabilization, and optimization of the Elastic platform.

We are looking for a skilled TEST Environment Support Engineer to ensure the availability, stability, and proper operation of TEST environments, focusing on infrastructure and core system components. This role requires experience in monitoring, troubleshooting, infrastructure integrations, DevOps processes, databases, cloud environments, and collaboration with infrastructure, communication, DevOps, and development teams. A full-time hybrid position based in Central Israel, with 1 day a week remote. Key Responsibilities:
* Monitor the availability and stability of TEST environments on an ongoing basis.
* Identify, investigate, escalate, and support the resolution of infrastructure issues affecting environment availability.
* Coordinate with infrastructure, communication, DevOps, and development teams to resolve issues.
* Track system events and their impact on testing activities.
* Support version deployments and maintenance activities that impact the environment.
* Document issues, exceptional events, and maintenance activities.
* Monitor availability metrics and ensure compliance with SLA targets.

We are looking for a Senior software engineer to join our SaaS platform team.
In this role, you will develop distributed cloud-native applications with a focus on scalability, availability, and security.
You will take part in designing and building microservices, operators, and backend components running on GCP Cloud Run, Kubernetes, and Linode Kubernetes Engine (LKE).
As a Senior Software Engineer, you will be responsible for:
Developing cloud-native microservices and backend components in Golang
Building and maintaining SaaS infrastructure and services for scale and resiliency
Working with GCP, Kubernetes, and Linode, including development of Kubernetes operators
Using Helm, Terraform, GitHub Actions, and other modern tooling to support deployment and automation
Collaborating with other engineers, architects, and product managers to drive features end-to-end
Taking ownership of system design decisions and contribute to the long-term technical roadmap

we are looking for a Senior Infrastructure Engineer to work on our dedicated engineering team building processing pipelines, information storage systems, and presentation layers in support of intelligence analysts.

The collection, processing, and exploration of malware samples and other information at a large scale is at the core of the Intelligence mission The Intelligence Automation team is responsible for prototyping, building, and operating the systems that enable this mission, and we'd like you to join us!

Your job will be to build, maintain, and improve infrastructure to support the entire breadth of our teams activities. You will work on classical datacenter and cloud infrastructure as well as environments for malware sandboxing or world-wide threat monitoring and hunting.

Advancing our fast-paced intelligence mission, requirements sometimes shift rapidly, and projects can live anything from weeks to years depending on changes in the surrounding ecosystem. It will be your responsibility to provide an infrastructure that can keep up with and adapt to these changes.

Occasionally things inside or outside of your control break and you will use your debugging skills to pinpoint the issue no matter whether it is on a hardware, network, cloud, kernel, or user space level.

You will be responsible for all aspects of the infrastructure you design, build, and maintain. This includes gathering requirements, making technical choices, creating documentation, securing workloads, upskilling colleagues, proactively monitoring operations, and gathering feedback from stakeholders.

You will join a team of very experienced infrastructure engineers who will always have your back. However, as a remote employee on a team distributed across many regions and time zones, you will not have direct access to all of your co-workers for the entire workday. Thus, the ability to work unsupervised, communicate asynchronously, and take the initiative in maintaining lines of communication is crucial. Additionally, we are looking for someone who would like to be part of a team who are passionate about their work and go the extra mile to exceed expectations. We love enthusiastic individuals who bring a positive attitude to their work and really care about what they produce for our stakeholders.

What You'll Do:

Maintain a can-do attitude and be solution-oriented

Deliver on ambiguous assignments and quickly evolving requirements in a fast-paced environment

Design, implement, document, and maintain our multi-cloud infrastructure

Be a consultant to development teams to ensure smooth deployment, monitoring, and maintenance of applications and services

Develop and maintain infrastructure-as-code (IaC) and management automation tools

Secure traditional and AI workloads

Ensure high availability, scalability, and performance of our systems

Troubleshoot and resolve complex infrastructure issues

Deploy, monitor, and troubleshoot relational and NoSQL databases

Mentor junior engineers and contribute to knowledge sharing within the team

Stay up-to-date with industry trends, best practices, and emerging technologies

Judge security and compliance risk

The solution engineer is a highly technical, core member of the sales and customer success organization, aligning our cutting-edge observability and agentic AI technologies with our enterprise customers' architectures. We are customer-obsessed, highly technical, and foster a team culture that is entrepreneurial, professional, and fun. In this role, you will act as a trusted technical advisor, owning the long-term architectural relationship and deep-tech integrations for our top-tier enterprise logos.

Location: Hybrid (3 days from the office)

Workweek: Monday-Friday

Responsibilities
Architectural Ownership: Manage all technical touchpoints for strategic customers, driving deep-tech onboarding, advanced enablement, architectural workshops, and complex issue resolution.

Value Optimization: Analyze customer data pipelines and infrastructures to develop and execute technical strategies that maximize observability value and ROI.

Technical Stakeholder Management: Build deep technical peer relationships with DevOps, SRE, and Engineering leaders, diagnosing complex infrastructure challenges and designing production-ready solutions.

POCs & Technical Expansion: Execute rigorous Proofs of Concepts (POCs) and architect complex expansions. Identify technical opportunities for upselling or cross-selling advanced agentic AI and observability modules to drive incremental revenue growth.

Advanced Deployment: Ensure a frictionless, deeply integrated onboarding process for enterprise customers, managing complex log/metric/trace routing and agentic AI deployments.

Adoption Analytics: Monitor deep-tech adoption patterns and infrastructure usage, proactively debugging systemic bottlenecks, scaling friction, or implementation barriers.
What Your Day-to-Day Will Look Like
Manage customer technology interactions: tech value proposition, POCs, onboarding, integration, enablement, implementation assistance, and AI use case adoption.

Automating Integration Workflows: Design and implement automated, scalable onboarding pipelines and configuration workflows to guide enterprise environments through seamless setup.

Proactive Architecture Reviews: Conduct deep-dive engineering check-ins around critical milestones (e.g., post-onboarding, scaling peaks, or architecture reviews) to ensure optimal system performance.

Telemetry & Infrastructure Audits: Analyze customer data volume, telemetry pipeline health, and behavioral patterns to catch underperforming configurations or indexing issues before they impact the customer.

Feedback Integration: Gather technical feedback, feature gaps, and product limitations from engineering stakeholders to advocate for and collaborate with internal product and R&D teams.

Technical Upsell Engineering: Analyze data ingestion and infrastructure usage to engineer custom product/feature recommendations tailored to the customer's specific technical scale with a focus on agentic workflows.

As Head of AI Engineering, you'll own how AI work is structured, prioritized, and managed across us - turning scattered, fast-moving efforts into a coordinated, scaled capability. You'll set the technical direction for how we build with GenAI and agentic systems, continuously scout the external ecosystem for what gives us an edge, and partner with platform engineering to make sure the infrastructure scales with demand.

This is equal parts strategy, organization, and technical judgment. You'll take ambiguous, high-level vision and turn it into execution - aligning teams and resources to business goals, and translating complex AI roadmaps for executives. You'll report to the CTO and work closely with leaders across R&D, Ops, CX, and Claims.

Responsibilities
Establish how AI initiatives are prioritized, staffed, coordinated, and delivered across various departments, bringing ownership and order to a fast-moving space.
Continuously assess external GenAI tools, platforms, and vendors; make build-vs-buy calls; and bring the best of what's out there into us.
Guide how we designs prompts, context layers, tools, and guardrails to make agentic orchestration reliable in production.
Ensure that across the company there are formal and informal education initiatives, many of which you will own or lead yourself.
Ensure the core AI foundations: serving, retrieval, evaluation, observability, and reliability - scale with the business.
Translate high-level vision into a sequenced roadmap, align resources to the highest-impact priorities, and measure outcomes against business goals.
Identify internal needs across teams, and articulate complex AI roadmaps clearly to non-technical, global executives.
Build the guardrails and governance around how the company works with AI.

We are looking for a Cloud Engineer to join our Infrastructure team in Tel Aviv. In this role, you will be a key contributor to our AWS CDK projects, taking end-to-end ownership of high-impact infrastructure shifts like our migration to EKS. This is a hands-on position where youll balance long-term architectural projects with day-to-day support for our R&D teams, ensuring our cloud environment remains scalable, secure, and developer-friendly.
Responsibilities:
As a Cloud Engineer, you will be the backbone of our infrastructure, ensuring that our cloud environment is scalable, secure, and developer-friendly. You will:
Serve as a core contributor to our central AWS CDK (TypeScript) project, ensuring every cloud resource-from S3 buckets to complex networking rules-is defined as code.
Act as a consultant for R&D and platform teams, helping microservice owners deploy new services and spin up sandbox environments while maintaining security standards.
Take end-to-end ownership of high-impact infrastructure shifts, including playing a key role in the transition from ECS Fargate to EKS.
Manage the lifecycle and maintenance of critical infrastructure components, such as security/observability agents and hosted open-source solutions.
Collaborate with our Boston-based teams on shared global projects to ensure architectural alignment and cross-region infrastructure support.
Balance long-term project work with active participation in internal help channels, troubleshooting real-time issues and resolving conflicts in central tools.

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 Senior FinOps Engineer, you will be tasked with being a key architect of our financial sustainability at our company. You won't just track spend, you will build the frameworks that transform complex cloud and usage data into clear, actionable strategies for the business. Joining our global FinOps team, you will act as the bridge between Product Engineering, Finance, and Leadership, ensuring our hyper-growth is matched by world-class unit economics and cloud efficiency.
What will you do?
Primary responsibilities include:
Advanced Analytics & Insights: Architect and maintain sophisticated data models that merge cloud billing data with customer usage metrics to drive deep-dive trend analysis and anomaly detection.
AI & ML Economics: Establish governance and unit-economic tracking for AI-related spend, including GPU utilization, LLM token consumption, and model training costs to ensure high ROI on AI initiatives.
Strategic Allocation: Design and govern complex cost-allocation frameworks (including Kubernetes and shared services) to ensure 100% accountability across product lines and engineering pods.
Cost Tracking & Accountability: Track and maintain critical cloud cost, identify increases and improve cost accountability across org.
Optimization & Commitment Management: Lead the strategy for Reserved Instances, Savings Plans, and CUDs across a multi-cloud environment. Proactively identify architectural rightsizing opportunities.
Forecasting & Capacity Planning: Build predictive models for cloud spend that account for customer acquisition rates, regional expansion, and product roadmap changes to safeguard company margins.
Cost Accountability: Improve cost accountability and mindset across org
Stakeholder Influence: Present quarterly business reviews (QBRs) to senior stakeholders, translating technical cloud complexities into clear financial impact.
Capitalization (CapEx) Reporting: Support the engineering capitalization process by correlating labor effort with project delivery data for financial compliance.