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The Senior Backend Engineer team (Data Team) builds the systems that discover, understand, and govern customer data at petabyte scale. We turn raw enterprise data into the security signal the rest of the platform builds on, working on problems like distributed systems running inside customer clouds, analytics over large data lakes, and detection logic that has to be both precise and fast. Youll work end-to-end and ship features that every Sentra customer uses.

Responsibilities
Designing and implementing core components within the classification and policy stack, including microservices, ETLs, and shared libraries.
Owning features end-to-end: design, implementation, rollout, testing, monitoring, and production operation.
Conducting design and code reviews with the team and across R&D.
Driving scale, performance, and cost optimizations against multi-tenant data-lake workloads.
Partnering with AI/ML, Research, Product, and Frontend to ship cross-functional initiatives.

We are looking for a Senior Backend Engineer (AI DLP) to join the team building our next-generation DLP product. The team is extending our data-security platform from understanding sensitive data at rest to protecting it at the moment it is used or shared-including across browsers, GenAI applications, and employee endpoints.

You will help build the control plane behind this product: the services that manage endpoint identity and enrollment, policies, classification, device configuration, telemetry, and the connection between our DSPM intelligence and real-time DLP decisions. This is a role with substantial technical ownership, direct customer impact, and close collaboration across Product, Research, Data, Frontend, and Infrastructure.

Responsibilities
Design and implement core backend components of our DLP control plane.
Own features end-to-end: architecture, implementation, testing, rollout, observability, and production operation.
Build secure, reliable multi-tenant services that communicate with browser extensions and endpoint agents deployed across customer endpoint fleets.
Connect our DSPM classification and policy systems with real-time endpoint enforcement, translating data-at-rest intelligence into actionable protection.
Design APIs and data models that support large endpoint fleets, frequent policy updates, offline clients, credential rotation, and safe software upgrades.
Improve the scalability, performance, reliability, and operational visibility of the DLP platform.
Conduct design and code reviews and help establish strong engineering practices.

Additional details:


You'll design the architecture that lets AI run compliance at scale.
Sedric is the AI compliance platform for financial services. Our agentic AI automates oversight across customer communications and marketing - Real-Time guardrails on calls, pre-approval review on every marketing asset, and post-publication monitoring across partners and channels. Because every customer gets a dedicated compliance model, accuracy goes up, false positives go down, and compliance teams move faster without taking on more risk.
AI isnt a feature at Sedric - its the product. Every agent, LLM flow, and retrieval pipeline that runs a customers compliance program runs on backend systems someone has to design, build, and keep fast, accurate, and cost-efficient at scale.
Were looking for a hands-on AI Engineer who designs those systems and writes the code. Youll own the architecture of our AI backend end to end, ship it to production, monitor how it performs with real customers, and raise the bar for the engineers around you through code reviews, design reviews, and mentoring.
The mission?
We're at an inflection point. Enterprise financial services clients are signing on, and they need more than a product - they need a platform. That means a unified LLM strategy, an architecture that scales, and an R&D org that moves with the same urgency as the business.
This role reports to the AI team Dev team lead and is based in Tel Aviv (hybrid model).
This is a hands-on engineering role. Its not a research position and not a people-management role. Youll spend most of your time designing and building production systems.

BIRD Aerosystems is seeking a Senior Systems Engineer for our System of Systems project, focused on developing innovative aerospace solutions. You will lead systems integration efforts and ensure seamless functionality across various systems. Responsibilities:
* Own the systems engineering of a complex System of Systems (SoS), maintaining the overall system-level view across multiple interconnected systems and subsystems.
* Translate operational and customer needs into system architecture, clear and verifiable requirements, and system and interface specifications.
* Define and manage interfaces and cross-system dependencies across radar, electro-optic, software and hardware teams.
* Lead system integration, verification and validation activities, including system-level troubleshooting and resolution of technical issues, and participate in field integration and test campaigns (ground and live-fire test events).
* Identify system risks, interface gaps and integration challenges early, and drive technical solutions with the relevant engineering teams.
* Participate in and contribute to system design reviews (SRR, PDR, CDR) and technical trade-off studies from a System of Systems perspective.
* Serve as the technical focal point for system-level and cross-system topics, working closely with multidisciplinary engineering teams and reporting key progress, risks and decisions to the Head of Systems Engineering.

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. If you are a passionate and talented developer and have the capability to be among the best, we invite you to join our journey of success as a Software Team Leader in the NAS Group.

Responsibilities:

* Lead a team of 2-8 developers
* C++ coding over Linux in a multi-threaded, clustered and performance-oriented server-side environment.
* Technical-related aspects of Infinidat’s core component.
* Filesystem IO flow performance improvements.
* High level & detailed design of new features.
* Legacy code maintenance and refactoring.

We empower enterprises and service providers with cutting-edge Storage platforms that redefine performance, reliability, and cyber resilience at scale. We are seeking a Scale TEST team leader to lead our newly Scale Testing team, responsible for validating the iBox under maximum real-world scale. combining features, protocols, capacity, and traffic simultaneously to expose issues that only emerge at the limits of the system. This role sits at the intersection of functional testing, performance testing, and customer-representative system design, ensuring the iBox holds up not just to isolated stress, but to the full complexity of production-scale deployments. The role is expected to be approximately 75% hands-on, directly involved in TEST design, execution, and investigation alongside the team.
Responsibilities:

* Form and Lead a team of scale TEST engineers, hiring and guiding them through complex, large-scale TEST design, execution, and root-cause analysis
* Design and execute tests that combine multiple features, protocols, and workloads concurrently at maximum scale (pools, volumes, snapshots, replication, etc.)
* Build and maintain customer-representative testbeds that mirror real-world production configurations at scale
* Drive high-volume, sustained traffic scenarios alongside feature and capacity scaling to surface interaction effects and edge-case failures
* Investigate and analyze complex, multi-variable system issues that arise only under combined scale conditions
* Participate in technical reviews - requirements, design, TEST design, and field reports - bringing a scale/ system -limits perspective
* Set up and maintain long-running, large-footprint hardware and software TEST environments
* Collaborate closely with Performance, system TEST, Interoperability, R&D, Product Management, and Support to ensure scale considerations are built into product design early
* Define and evolve the team's scale testing methodology, tooling, and metrics