דרושים » תוכנה » senior DevOps engineer- detection

every nation has data. few can protect it. fewer still can act on it.
the company is the sovereign ai and national cyber-defense company for governments.
we help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign.
this is more than a job. it's a role at the company, where you'll work at a global scale alongside some of the best ai researchers, cyber operators, and government experts in the world.
we defend nations against the most advanced threats in the world with a national security suite that offers ai-native resilience against apts with visibility, insights and mediation across posture, cti, and detection & response, all fully sovereign.
we're looking for a senior platform engineer to join our cti group. we're a startup that builds a lot, so you'll work across a wide range of systems and tools, build new platforms and services, and have real influence over where the platform goes next.
you'll work on the platform behind our cti products: the microservices running on kubernetes, the cloud and on-prem environments around them, and the infrastructure behind the systems. there's a lot still to build, and you'll have a real say in what comes next.
own what you build end to end, from design through implementation to running it in production.
design and build the internal platforms, tools, and services other engineering teams rely on, and add new ones as we grow.
make architectural decisions across infrastructure, applications, networking, security, and data.
design, build, and maintain our cloud and on-prem environments.
build and operate the infrastructure behind our ai/ml systems at scale.
manage and evolve our kubernetes environments.
build and maintain ci/cd pipelines, deployment automation, and infrastructure-as-code with terraform.
build security into the platform, from iam and secrets management to network policies.
set up the monitoring and observability that show us how the platform is doing.
design for scalability, availability, performance, and resilience in high-scale production systems.
apply infrastructure-as-code practices (terraform) end to end.

every nation has data. few can protect it. fewer still can act on it.
the company is the sovereign ai and national cyber-defense company for governments.
we help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign.
this is more than a job. it's a role at the company, where you'll work at a global scale alongside some of the best ai researchers, cyber operators, and government experts in the world.
we defend nations against the most advanced threats in the world with a national security suite that offers ai-native resilience against apts with visibility, insights and mediation across posture, cti, and detection & response, all fully sovereign.
we are on the lookout for a driven and experienced hands-on engineering team leader to lead a group of engineers building the company's sensor.
this team owns the entire endpoint agent, which is the backbone of the company's collection capabilities from windows and Linux endpoints.
as a hands-on leader, youll guide a talented team of engineers in designing and evolving the agent that enables our fully ai-driven platform to identify and respond to Real-Time advanced persistent threats.
lead a team responsible for the endpoint product on windows and Linux systems.
mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
design and code production-grade C ++ to create robust and high-performance software applications.
collaborate with backend, frontend, research and other teams within the company to deliver state-of-the-art solutions for challenging problems.
define and drive the technical roadmap, ensuring scalability, Developer productivity, and rapid iteration.
participate in code reviews with an emphasis on design and code quality, ensuring the team adheres to best practices and guidelines.
5+ years of experience in endpoint development in the cybersecurity field.
2+ years leading and mentoring engineers.
fluent in C ++ (11 or later).
deep understanding of operating system concepts.
excellent debugging skills.
capable of conducting code reviews with a focus on design and quality, enforcing high-standard codebase.
problem-solving abilities.
analytical thinking.
if you think this role doesn't fully match your skills but are eager to grow and break glass ceilings, wed love to hear from you!

every nation has data. few can protect it. fewer still can act on it.
the company is the sovereign ai and national cyber-defense company for governments.
we help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign.
this is more than a job. it's a role at the company, where you'll work at a global scale alongside some of the best ai researchers, cyber operators, and government experts in the world.
we defend nations against the most advanced threats in the world with a national security suite that offers ai-native resilience against apts with visibility, insights and mediation across posture, cti, and detection & response, all fully sovereign.
were looking for a senior backend engineer to build production-grade systems at the intersection of backend engineering and agentic ai.
youll design the services and data architecture behind llm-powered agents, from prompt orchestration and tool calling to retrieval and production observability. while the role is backend -first, youll work across the stack when needed, connecting ai capabilities to user-facing experiences and owning the path from architecture to secure deployment.
this is an opportunity to build and shape intelligent systems built for highly secure, from-scratch, regulated environments where reliability, precision, and engineering quality truly matter.
design, build, and operate scalable backend services in Python.
build and integrate llm-based agents using prompt orchestration, tool and function calling, and agentic architecture patterns.
own data modeling and database design for complex, production-grade systems.
connect backend and ai capabilities to user-facing applications.
containerize and deploy services in aws-based environments.
build automated testing and ci pipelines that support fast, reliable delivery.
apply secure sdlc practices, including secret management, dependency hygiene, and thorough code reviews.
take end-to-end ownership of systems, from technical design through production operation.

every nation has data. few can protect it. fewer still can act on it.
the company is the sovereign ai and national cyber-defense company for governments.
we help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign.
this is more than a job. it's a role at the company, where you'll work at a global scale alongside some of the best ai researchers, cyber operators, and government experts in the world.
the mission only works if the company behind it does. this role keeps the company running at the scale our work demands. and our work demands a uniquely global scale.
we are on an expedition to find an on-premise site reliability engineer (sre)- someone who is passionate about building rock-solid, high-performance infrastructure and bringing order to complex environments. in this role, you will own the end-to-end reliability, automation, and deployment of the company's platform across customer sites, working hands-on with cutting-edge ai, bare-metal, and hybrid cloud architectures.
youll collaborate closely with product, r&d, and architecture teams while serving as the ultimate technical authority for our customer deployments. from designing automated ansible workflows and mastering kubernetes to troubleshooting complex network topologies, you will eliminate toil, streamline cluster operations, and ensure every deployment is scalable, seamless, and mission-ready.
lead end-to-end on-prem & hybrid deployments: own the technical delivery and reliability of the company's platform in close collaboration with product, r&d, and customer technical teams.
architect, execute & improve k8s deployments: take a definitive hands-on role in deploying, configuring, operating, and continuously improving our platform using advanced, enterprise-grade kubernetes architectures.
helm chart management: design, modify, and manage helm charts to package, version, and streamline complex application deployments across different environments.
drive automation & simplification: design, implement, and maintain robust deployment automation using ansible. you must have a passion for turning complex manual tasks into reliable, repeatable, single-click operations.
manage infrastructure as code: utilize git as the single source of truth to manage configurations, manifests, and automation playbooks, enforcing modern engineering best practices.
bridge on-prem and cloud: leverage aws resources (specifically ec2 and s3) for hybrid components, staging environments, or cloud-to-on-prem data flows.
technical tier-3 escalation: serve as the ultimate technical authority for deployment, Linux networking, and kubernetes orchestration issues.
continuous improvement: constantly refine our delivery pipelines, optimize bootstrap processes, and create rock-solid technical documentation.
sre / delivery mindset: 3-5 years of hands-on experience in enterprise infrastructure deployment, systems engineering, or an on-prem operational reliability role.
kubernetes & helm expert: deep, production-grade experience with kubernetes architecture, deployment, advanced troubleshooting, and cni networking. proven working experience creating, maintaining, and deploying applications using helm charts.
ansible mastery: proven experience writing clean, scalable ansible roles and playbooks for configuration management, automation, and infrastructure provisioning.
modern workflows (git & aws): solid working experience using git for version control and collaborating on code/infrastructure. practical experience provisioning and managing aws resources (ec2 and s3).
core systems & Linux : strong Linux background (ubuntu) with a deep understanding of system internals, containerized runtimes, and troubleshooting distributed applications.

ai factories are only as good as the software that runs them. our dsx os turns gpu infrastructure into a shared, multi-tenant platform for ai teams, providing scheduling, orchestration, serving, and observability for ai workloads at data -center scale-from training and inference to reinforcement learning and agentic ai. the dsx os platform software group builds that layer through projects such as kai-scheduler, snapshot, grove, and run:ai. our work ships as open source and upstream contributions across the cloud-native and ai serving ecosystems. we focus on performance, reliability at scale, and giving users the insight they need to understand and improve how their workloads run.
we are looking for highly skilled software engineers to help shape the future of ai infrastructure. as a senior software engineer in the team, you will design and build scalable, high-performance systems, tackle complex distributed-systems problems, and collaborate with experts across the company and the broader community to support the next generation of ai workloads.
what you'll be doing:
designing and developing open source platform components with a strong focus on performance, reliability, and scalability.
building and optimizing kubernetes-native systems: controllers, operators, schedulers, and apis that orchestrate gpu workloads at scale.
contributing upstream - designing in public, writing proposals, reviewing community code, and engaging with users and maintainers of the projects we work on.
collaborating closely with architects, product managers, and partner teams across the company to deliver impactful solutions.
writing clean, maintainable, and testable code in go.
conducting code and design reviews to uphold high-quality standards, and mentoring team members.

We are seeking a Software Engineer, Data & Platform to join our Platform team. This is a hands-on engineering role at the intersection of data and infrastructure. You'll build the pipelines that move clinical data into, through, and out of our autonomous coding engine, and the cloud systems that run it in production.

What you'll do:
Build and maintain reliable data pipelines that ingest, transform, and deliver data from healthcare systems at scale, across millions of charts a year.
Design, build, and operate our cloud infrastructure on AWS, managed as code.
Own data modeling, schema management, and database performance in close partnership with our DBA.
Improve how our engineering teams ship: CI/CD, environments, observability, and internal tooling that make deployments safe and fast.
Take an AI-first approach to engineering: use AI coding assistants and agents as a core part of your daily workflow, and look for opportunities to apply LLMs and agentic tooling to automate data and platform work.
Ensure the security, reliability, and compliance of systems that handle sensitive patient data.
Work with R&D, ML, and Product to turn requirements into scalable data and platform solutions.
If you enjoy writing real software to solve data and infrastructure problems, and you care about systems that are robust, observable, and well designed, we'd love to hear from you.

we're looking for a senior backend engineer to help build and scale the Machine Learning platform that powers how the company uses ai across the business. you'll be part of the ml platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.
we believe three things matter for every role at the company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and ai insights. these aren't buzzwords, they're how we actually work. our ai-first approach isn't just a tagline either. we're building the future of insurance with ai at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
in this role you'll
design and build the foundational ml platform and ai agents to accelerate data science model delivery across all business units
architect cloud-native microservices running on kubernetes, using infrastructure-as-code to automate model deployment and management
own the end-to-end ml lifecycle, covering training, testing, deployment, and Real-Time monitoring
evaluate and choose the right tools and technologies based on workload demands and performance requirements
collaborate with engineering, data science, and product teams to keep ml projects aligned with business goals
identify and fix reliability, scalability, and performance gaps before they become problems.

As a Senior Software Engineer on the Cortex Platform Application team, you will be a hands-on technical leader responsible for designing, building, and operating critical backend platform services and customer facing features used across Cortex. This role is for an engineer who can combine deep platform/backend expertise with strong ownership, practical execution, and cross-team influence. You will help build scalable and reliable services, guide technical decisions, improve engineering methods, mentor engineers, and raise the quality of how the team designs, ships, documents, tests, and operates its systems. The team owns a broad set of platform capabilities, including areas such as application configuration, dashboards and reporting infrastructure, metrics, multi-tenant and MSSP infrastructure, log forwarding, notifications, auditing, access and permission engines, filtering and querying infrastructure, and other shared application platform domains. We develop customer facing features, as well as internal capabilities serving other development teams within cortex. We are looking for someone who is not only strong technically, but also enjoys being a part of a high-performing team, taking ownership from within, and helping turn strong execution into repeatable engineering practice. A successful candidate will quickly become a trusted part of the team by shipping meaningful work, learning the team's domains, and helping others move faster. Over time, this person will help the team increase delivery capacity while also improving how work is designed, documented, tested, operated, and shared across the organization. The right person will not act as an external advisor or abstract architect. They will join the team's day-to-day work, earn trust through execution, and help create organized technical influence from inside the team.
Design, build, and operate scalable, reliable, and secure backend services for the Cortex Platform.
Act as a hands-on technical leader, writing and reviewing production code for critical platform services.
Lead technical design for complex backend and platform domains, balancing long-term architecture with practical delivery.
Own and improve core platform capabilities used by internal engineering teams and Cortex customers.
Drive operational excellence, including observability, monitoring, alerting, incident response, reliability, and participation in on-call.
Improve engineering methods around documentation, testing, design reviews, ownership models, and production readiness.
Mentor senior, mid-level, and junior engineers through design guidance, code reviews, production work, and day-to-day collaboration.
Collaborate closely with product managers, architects, security experts, QA, DevOps, and other engineering teams.
Help internal customers use platform capabilities correctly by creating clarity, alignment, and practical technical guidance.
Identify gaps in systems, processes, and ownership, and lead improvements without adding unnecessary process or friction.
Contribute to a calm, practical, low-ego engineering culture focused on ownership, execution, and continuous improvement.

every nation has data. few can protect it. fewer still can act on it.
the company is the sovereign ai and national cyber-defense company for governments.
we help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign.
this is more than a job. it's a role at the company, where you'll work at a global scale alongside some of the best ai researchers, cyber operators, and government experts in the world.
we defend nations against the most advanced threats in the world with a national security suite that offers ai-native resilience against apts with visibility, insights and mediation across posture, cti, and detection & response, all fully sovereign.
were looking for a software engineer who is passionate about building high-quality software and solving complex technical challenges. in this role, you'll design and develop production-grade Python services that integrate with third-party devices and platforms, enabling reliable data collection at scale. the systems you build will power our ai platform, providing the critical data foundation behind our products.
design and deliver production-grade, high-quality and robust code.
research a wide range of software and network devices to find the best data collection solutions.
collaborate with customers to resolve issues and expand the company's collection portfolio.
prioritize collection capabilities together with our product team based on customers needs and define milestones.
work effectively within a team, contributing to a collaborative and innovative development environment.

we're looking for a backend engineer to help build and scale the Machine Learning platform that powers how the company uses ai across the business. you'll be part of the ml platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.
we believe three things matter for every role at the company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and ai insights. these aren't buzzwords, they're how we actually work. our ai-first approach isn't just a tagline either. we're building the future of insurance with ai at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
in this role you'll:
design and build the foundational ml platform and ai agents to accelerate data science model delivery across all business units
architect cloud-native microservices running on kubernetes, using infrastructure-as-code to automate model deployment and management
own the end-to-end ml lifecycle, covering training, testing, deployment, and Real-Time monitoring
evaluate and choose the right tools and technologies based on workload demands and performance requirements
collaborate with engineering, data science, and product teams to keep ml projects aligned with business goals
identify and fix reliability, scalability, and performance gaps before they become problems.