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Prisma-Photonics is a rapidly growing startup company, developing the next-generation smart-infrastructure solution based on novel fiber-sensing technology (smart roads, smart cities, perimeters, and grid monitoring, etc.). The company offers an award-winning disruptive solution; a “sensor free” approach to smart infrastructure. The company is VC backed and in the revenues stage. Combining pioneering technology in optical fiber sensing with state-of-the-art machine learning, we help prevent environmental disasters, protect human lives, and keep critical energy and transportation backbones running smoothly. We are now hiring a talented, self-driven, and passionate Senior DevOps to build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting.

Hiring Manager:
Oded Aviyam

What You’ll Do:
Lead the design and architecture of cloud-based data solutions, ensuring scalability, reliability, and performance. Design and build data pipelines for field data collection, analysis, and inference using industry production-grade technologies and tools. Design and build customer cloud / on-premise data solutions for storage, lookup, and processing flows. Study and incorporate standards for data governance, security, and compliance. Provide online and real-time monitoring and analysis of data systems health, accuracy, and costs. Plan and execute integrations with our edge computing solutions and AI models for both research and production flows.


What You Bring:
+8 years of hands-on programming experience in high-level languages including python. +8 years experience in designing, building or administrating large scale software systems. Experience with AWS cloud, EKS, Airflow, Spark, Sage Maker, MongoDB, SQL. Excellent leadership, communication, and collaboration skills. Expert in designing and implementing highly resilient big data applications. Academic degree in Computer Science, Computer Engineering or Information Systems. Certifications in AWS or other relevant cloud technologies. Proven track record with NIST compliance and security protocols.


Great to Have:
Over 3 years of experience serving in an architect capacity or a comparable role. Proficiency in CI/CD pipelines, utilizing tools like Jenkins and GitHub Actions. Experience with Onprem Kubernetes (K8s). Security-focused background.

We are looking for a DevOps Engineer to own and scale the infrastructure behind our AI systems.

What you'll do
Own cluster reliability, availability, monitoring, alerting, capacity planning, and incident response.

Configure, maintain, and troubleshoot GPU servers, networking equipment, switches, InfiniBand fabrics, storage, and related infrastructure.

Deploy, maintain, and improve infrastructure around Slurm, Kubernetes, and GPU workload orchestration.

Manage and improve our cloud environment, including compute, networking, storage, IAM, security groups, cost visibility, and production infrastructure.

Build, maintain, and improve CI/CD pipelines.

Work closely with engineers to understand infrastructure bottlenecks and improve development, training, inference, and deployment velocity.

Contribute to security best practices across cloud, network, CI/CD, access control, secrets management, and production systems.

we are looking for an outstanding engineer to join the networking software cross DevOps team. the position is part of a team that supports sophisticated systems and integrations, maintains proprietary, open source and in-house tools, with the strive to improve development workflows and overall efficiency. we are one of a kind company, crafting the future of computing and challenging the existing conventions. with your help we would forge the next generation of compute infrastructure multiplying the power of the cpu, gpu and dpu with the groundbreaking networking technology for the age of ai.
what you'll be doing:
develop DevOps tools using the company, proprietary and open source technologies to help build better ci/cd workflows across the company.
craft efficiency and usability improvements across our product development environments to streamline release pipelines and processes across the company.
be in the critical path of supporting hundreds of developers as well as intimately understanding the values of predictability, automation and reliability.
design and build sophisticated automations and ai powered applications.

We are looking for an experienced DevOps Engineer to join our growing DevOps team and play a key role in designing, building, and maintaining modern infrastructure across a wide range of cutting-edge technology projects.
This role combines cloud infrastructure, Kubernetes platforms, CI/CD automation, Microservices architecture, and next-generation AI infrastructure. You will work closely with Software Engineering, DevOps, Data, and AI teams, supporting mission-critical environments ranging from cloud-native development platforms to secure AI deployments.
Responsibilities
Design, build, and maintain modern DevOps infrastructure across multiple projects.
Deploy, manage, and optimize OpenShift, Kubernetes, and Rancher environments.
Design, build, and maintain robust CI/CD pipelines.
Support and manage cloud-native development environments, primarily on Microsoft Azure.
Design and support Microservices-based infrastructure.
Collaborate closely with development teams to deliver scalable infrastructure and platform solutions.
Build and maintain AI infrastructure in secure enterprise environments, including air-gapped deployments.
Integrate AI capabilities and modern developer productivity tools into engineering workflows.
Continuously improve automation, deployment processes, platform reliability, and operational excellence.

We are seeking a seasoned Senior DevOps Engineer to join our innovative and fast-growing startup poised to transform the risk assessment industry.
Responsibilities:
Design and implement scalable, resilient infrastructure across major cloud platforms to support our high-demand applications.
Manage and optimize container orchestration using Kubernetes and Docker, ensuring efficient deployment and operation of services.
Drive the adoption of FinOps practices to optimize cloud spending and resource utilization.
Develop automation strategies to enhance continuous integration and deployment (CI/CD) processes.
Collaborate with cross-functional teams to ensure seamless, scalable, and robust application performance.
Provide leadership and mentorship to junior team members, promoting a culture of technical excellence and innovation.

We are looking for a Senior DevOps / Build Engineer with a strong development background to join our team. This is a hands-on technical role that sits at the intersection of software development and DevOps - the ideal candidate started their career as a developer and transitioned into DevOps, bringing deep understanding of both worlds.
Responsibilities
Own and maintain our Azure DevOps Server environment (on-premises)
Design, build, and maintain production CI/CD pipelines
Manage build systems for C++ and C# / .NET projects
Troubleshoot complex build, compilation, and dependency issues
Develop and maintain automation scripts and tooling
Support development, QA, security, and infrastructure teams
Manage container images, registries, and Linux environments
Create and maintain technical documentation and operational procedures

Our platform turns paperwork-based processes into revenue-generating customer engagements for some of the largest financial institutions in Israel, the US, Europe, and APAC.

Behind that surface, our infrastructure is split the way our customers are. Enterprise customers demand isolation and get it: a dedicated single-tenant environment each, down to their own compute, data stores, identity provider, and sometimes encryption keys we cannot access. Lower-tier customers run on shared multi-tenant infrastructure. More than fifty production environments across six AWS regions, all from one GitOps pipeline.

That split is what makes this role heavy. On the shared platform, a single change is instantly global; on the dedicated fleet, it must land correctly everywhere before anyone feels it. Every new customer adds load and cost in a straight line - your job is to break that line, making the platform carry its own weight through self-service, automation, and AI agents, not more hands. Nobody sits between you and the customer.

Responsibilities

Both tenancy models, as one system. Terraform, Helm, and ArgoCD delivering to shared and dedicated environments alike. You own the pipeline and the guardrails on it: progressive rollout, blast-radius containment, and drift detection that catches a mistake before a customer does.
Efficiency and cloud cost. Dedicated infrastructure per customer makes unit economics an engineering concern, not a quarterly finance exercise. You own attribution, right-sizing, spot strategy, and autoscaling that actually scales down - and you defend efficiency as a design constraint on every new deployment.
Turning operations into product. Onboarding, version rollouts, and config changes are tickets today; they should be self-service and boring. You decide what gets automated, what goes back to the owning team, and what still needs an expert.
Scale under real load. Temporal, KEDA queue-based autoscaling, and Karpenter are live and still maturing. You own how the platform grows and shrinks against real traffic, and what that costs per customer.
Security engineering for regulated customers. KMS-based key management, SIEM pipelines, WAF policy, certificate and secret lifecycle, per-customer SSO, vulnerability remediation, and turning penetration test findings into shipped fixes. Our customers are banks, insurers, and health funds. Their auditors are effectively part of our roadmap.
AI-driven operations. Our infrastructure repositories are already built for agentic work, with an internal harness of shared skills and agents. You inherit it, extend it, and push it into places it does not reach yet: triage, rollout verification, cost anomaly investigation, log analysis, and the long tail of operational work that has never been worth a script.
Reliability of what you ship. You are on call for your own systems, paged through PagerDuty against alerts you own.

a defense-tech company developing advanced ai and real-world technology is looking for a senior DevOps engineer ( backend oriented) to take ownership of its infrastructure and deployment environment. the role combines hands-on DevOps with real backend development, docker, and production on-premises environments.
what youll do:
design, build, and own production infrastructure across on-premises and cloud environments, including customer deployments, upgrades, remote management, and recovery.
build and maintain dockerized services and multi-container deployments using docker compose.
own ci/cd, infrastructure-as-code, release processes, and deployment strategy from development through production.
build observability across the stack, including monitoring, logging, alerting, and operational practices.
manage gpu-based workloads and ensure ai workloads run reliably on real hardware.
contribute to backend services and apis, improving performance, data processing, database access, and Real-Time event handling.
own networking, secrets management, security hardening, and infrastructure reliability.
work closely with backend, ml, and product teams to improve scalability, deployment, and operational excellence.

We are looking for an experienced Senior DevOps to join our growing DevOps department!

We are looking for a Senior DevOps Engineer to join our DevOps team at our company. You will own and evolve the infrastructure underpinning a healthcare AI platform serving patients and enterprise health system partners. This is a high-ownership role: you will architect and operate cloud environments across our company and its enterprise partners, lead complex infrastructure migrations, drive disaster recovery programs, and help build the next generation of AI-powered operations tooling. You will also mentor junior engineers and collaborate closely with product and engineering teams across the company. This is a hybrid role based in New York City (4 days/week in office) and includes participation in a daytime on-call rotation.

What you will do:
Own the design, implementation, and evolution of our GKE-based Kubernetes infrastructure across our company and enterprise partner environments.
Build and maintain our Terraform modular infrastructure library, including reusable modules with automated testing, across GCP, Cloudflare, and AWS.
Architect, build, and maintain GitLab CI/CD shared pipeline templates used by all engineering teams (build, test, security scanning, deployment).
Own and maintain self-hosted infrastructure software running in-cluster, including GitLab, ArgoCD, Langfuse, DependencyTrack, NGINX Ingress, and others.
Implement and support security and compliance controls across infrastructure and the software supply chain - secrets management, pipeline secret detection, container scanning, SOC2 and HIPAA.
Drive disaster recovery readiness: design failover scenarios, author runbooks, and lead periodic DR tests.
Lead development of AI-powered operations tooling and agentic infrastructure.
Monitor, troubleshoot, and improve production system reliability; respond to incidents during on-call shifts.
Mentor junior DevOps engineers and establish team-wide engineering standards.

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. Infinidat RnD department is looking for an eager and bright individual to join us and own our DevOps and Build Automation solutions.

Responsibilities:

* You will assume full end-to-end ownership and responsibility for designing, improving and maintaining the company’s RnD delivery flow processes and infrastructure.
* Taking ownership of one of the most critical flows in the RnD department - developing & releasing Infinidat’s software product.
* Establish and evolve concepts in CI/CD pipelines for existing and new services.
* Work closely with development teams to improve the efficiency and stability of the build automation solution (distributed build, object caching, etc.)
* Work closely with various infrastructure teams in the company to improve automation of workflows
* Monitor and analyze performance and stability issues. Environment and tools
* Linux, Python, GitLab CI, Jenkins, Coverity, VMware, Ansible, Docker/Podman, CMake.
* 99% On-Prem.

abra's R&D division is seeking a Senior Devops Engineer to join our team! We are looking for an experienced DevOps Engineer who will design and implement Microservices and CI/CD architecture. The role requires expertise in OpenShift, Azure DevOps, and Terraform. Key Responsibilities:
* Design and implement Microservices architecture based on OpenShift and K8S in On-prem environments.
* Define and manage CI/CD processes and configurations in Azure DevOps.
* Develop and maintain Infrastructure as Code (IaC) using Terraform.
* Manage code and infrastructure management systems such as JFrog and GitHub.
* Lead technological integrations and provide end-to-end DevOps solutions.

Required Senior DevOps Engineer
About The Position
We are scaling rapidly, and we are transforming our internal infrastructure into a high-velocity, self-service product. This is a senior opportunity to architect the future of our platform, setting the technical standard for how we deliver services while ensuring reliability and developer independence across diverse global markets.
Responsabilities:
Self-service enablement: Build secure, automated pathways that accelerate development while keeping organizational standards intact.
Architectural modularization: Design Kubernetes-native abstractions - controllers and operators - and decouple infrastructure into independent service lifecycles that support rapid iteration.
Everything as code: Treat infrastructure, policy, and configuration with the same SDLC as application software - versioned, reviewed, tested, and CI-gated.
Proactive reliability: Own production through robust observability, clear SLOs, and high operational hygiene; define alerting that fires correctly and lead blameless postmortems that fix the system.

We are seeking a Senior Site Reliability / DevOps Engineer to ensure the scalability, performance, and reliability of our user-facing generative AI features.
In this role, you will bridge the gap between traditional infrastructure and cutting-edge machine learning.
You will build and maintain the high-throughput, low-latency systems required to serve AI models directly to millions of users.
This position is based out of our new Tel Aviv office.
What You'll Do:
Infrastructure Ownership: Design, build, and scale the infrastructure hosting our user-facing AI applications and inference engines.
Performance Optimization: Optimize system latency, specifically targeting Time-to-First-Token (TTFT) and total round-trip time for user requests.
GPU & Resource Orchestration: Manage and scale GPU clusters within Kubernetes to maximize utilization and minimize operational costs.
Resiliency & Fallbacks: Build robust fallback systems, circuit breakers, and rate-limiting infrastructure to handle upstream LLM API failures and traffic spikes.
Monitoring & Observability: Implement deep observability for AI workloads, tracking custom metrics like token usage, model drift, and GPU memory saturation.