דרושים » ניהול ביניים » Senior Staff Devops Engineer

We are seeking an experienced DevOps Engineer to join our Engineering team and play a key role in building and operating our cloud-native platform. The ideal candidate will have hands-on experience managing production environments at scale, driving cloud transformation initiatives, and supporting the of enterprise systems from on-premises deployments to modern SaaS and cloud-native architectures. You will be responsible for designing, automating, and maintaining scalable infrastructure, CI/CD pipelines, and deployment processes that support both our core products and emerging AI-driven capabilities. Working closely with Engineering, QA, Product, and AI teams, you will help ensure the reliability, security, and performance of our services while driving operational excellence and continuous improvement across our technology stack.
Responsibilities:
Design, implement, and maintain CI/CD pipelines.
Manage and optimize cloud infrastructure across AWS, Azure, and/or GCP.
Develop and maintain Infrastructure as Code using Terraform.
Manage Kubernetes-based environments and GitOps deployment workflows using Argo CD and Kustomize.
Lead and support the migration of enterprise applications and infrastructure from on-premises
environments to scalable SaaS and cloud-native architectures.
Establish, maintain, and continuously improve production environments, ensuring high availability, security, scalability, and operational excellence.
Demonstrate strong production ownership, including incident management, root cause analysis, capacity planning, and performance optimization.
Collaborate with Engineering, QA, Product, and AI teams.
Support the deployment, operation, and monitoring of AI and Generative AI services.
Build and maintain monitoring, logging, and alerting systems.
Troubleshoot and resolve infrastructure, deployment, and production issues.

We're looking for a Head of DevOps to lead, build, and scale the cloud infrastructure that powers our AI-driven platform. You'll own our infrastructure end-to-end, design highly available systems, set DevOps practices, and enable our engineering team to ship production AI features fast. If you love building reliable infrastructure, leading by example, and moving quickly, we want to hear from you.
What You'll Do:
Own and lead infrastructure end-to-end, from architecture through deployment and monitoring
Design and maintain scalable, highly available cloud infrastructure on AWS, GCP and Azure
Build and optimize CI/CD pipelines to enable fast, reliable deployments
Manage and scale Kubernetes clusters (EKS) and container orchestration
Implement infrastructure-as-code, automation, and observability across our systems
Ensure data governance, security, and compliance across our platform
Provide real-time monitoring and analysis of system health, performance, and costs
Partner with backend engineers, ML engineers, and AI researchers to support production AI workloads
Lead architectural decisions and establish DevOps strategy and best practices as we scale.

We are looking for an independent Senior DevOps Engineer who thrives in a fast-paced environment. You will join our centralized DevOps team, serving as a pillar of reliability and innovation for the entire engineering organization.

This is a 50/50 "Build vs. Run" role. Splitting your time between building modern automation and improving our developer experience and operational excellence, ensuring our production environments are rock-solid, secure, and highly available while managing the live environment from server infrastructure all the way to the application.

Tasks you will take part in:
Design and implement next-generation CI/CD automation flows to streamline the path from "Code" to "Production."
Lead the evolution of our Infrastructure-as-Code (Terraform) to make our systems more modular and self-service for developers.
Collaborate with backend teams to architect scalable microservices and optimize datastore performance (RDS, MongoDB).
Embrace AI-powered development tools (Cursor, Claude Code) to automate toil and accelerate infrastructure delivery.
Full ownership of our AWS accounts and multi-cluster Kubernetes environments.
Manage and fine-tune live production environments, ensuring 99.9% uptime for our mission-critical fintech services.
Drive our Observability strategy (Datadog/Grafana) to proactively catch issues before they impact our customers.
Participate in a weekly on-call rotation, serving as the first line of defense for platform reliability.
is used for creating requisitions 'from scratch'

As a Senior Site Reliability Engineer at our company 911, you'll own the infrastructure that keeps our platform reliable, scalable, and secure - work that directly supports mission-critical 911 systems used by public safety agencies. You'll drive infrastructure-as-code practices across AWS, lead observability efforts through Datadog, and bring modern AI-assisted engineering approaches into how the team builds and operates.
What You'll Do
Own and evolve AWS infrastructure using Infrastructure-as-Code (Terraform / Terragrunt)
Architect and scale AWS environments
Deploy, scale, and manage containerized workloads using Kubernetes and Docker; contribute to HA/DR architecture and platform strategy
Lead deployment and release processes using Argo (reference JD also names Bitbucket, Jenkins as part of the CI/CD toolset).
Define and enforce SLOs, SLIs, and error budgets; drive toil reduction across the platform
Drive full utilization of Datadog for monitoring, dashboards, and alerting across the platform (reference JD also names Prometheus, Grafana as potential observability tooling)
Build self-service internal developer platforms that empower teams to ship faster.
Take end-to-end ownership of infrastructure projects - define success criteria, execute, and measure outcomes.
Partner cross-functionally with engineering teams (e.g., network engineering, Dev owners) on long-term technical planning.
Bring AI-assisted engineering practices (e.g., Claude, MCP integrations) into daily workflows to improve team efficiency
Document work and provide cross-training to peers.
Resolve JIRA tickets across Cloud, CI/CD, deployments, and monitoring.

Required Senior Principal DevOps Engineer (Cortex Cloud)
Your Impact:
As a Senior Principal DevOps Engineer, you will serve as a visionary technical leader within the Cortex Cloud DevOps group. You will define the technical strategy and architecture that ensures our massive-scale production services remain highly reliable, exceptionally secure, and performant. You will pioneer the integration of AI-driven capabilities into our daily operations, establishing elite engineering standards and fundamentally transforming the workflows of hundreds of developers through autonomous agents and intelligent procedures.
Your Career:
Architectural Vision & Scalability: Design and scale massive, resilient distributed systems and global Kubernetes infrastructure, implementing robust observability and monitoring frameworks.
AI-Driven Transformation: Revolutionize the SDLC by integrating Generative AI, autonomous agents, and LLM-powered workflows into CI/CD and self-healing systems to accelerate developer velocity.
Technical Leadership & IaC: Define architectural standards, lead GitOps/IaC (FluxCD/Terraform) strategies, and mentor Senior/Staff engineers across the R&D organization.
Developer Experience & Efficiency: Build and champion AI-powered platforms that automate troubleshooting and eliminate friction. Partner directly with Engineering Directors, Principal Architects, and Product Management to align infrastructure initiatives with business goals, optimizing for scale, high availability, and multi-million-dollar cost-efficiencies.
Security & Compliance: Embed "Security by Design" principles into the platform architecture to ensure platform integrity without sacrificing delivery speed.

we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of AI-powered vehicle inspection systems, combining computer vision, Machine Learning, and generative AI.
Our technology is deployed across manufacturing plants, dealerships, wholesale auctions, fleets, and seaports worldwide. Named one of Fast Company's Most Innovative Companies of 2026, our 300+ global employees are solutions-oriented, accountable, and driven by one shared goal: making roads safer for everyone.
We seek a dedicated and proactive Senior SecOps Engineer to join our InfoSec team and take ownership of all security-related tasks across the organization. In this role, you will be key in aligning security goals with infrastructure, R&D and IT requirements. You will be responsible for integrating security into our CI/CD pipelines, managing cloud infrastructure security, ensuring compliance with security standards, and protecting our infrastructure from vulnerabilities.
A day in the life and how youll make an impact:
* Implement and manage security tools such as static code analysis, cloud posture monitoring, and penetration testing tools.
* Embed security into the DevOps lifecycle, including CI/CD pipelines, IaC (Infrastructure as Code), and software development workflows.
* Design and enforce security policies for cloud architecture, ensuring secure configurations and monitoring.
* Lead incident response activities, vulnerability management, and forensic investigations to mitigate threats.
* Drive compliance efforts (ISO 27001, SOC 2, GDPR, etc.) and audit readiness for the organization.
* Work closely with stakeholders ( CISO, COO, system Architects, DevOps, IT, Finance, HR, etc) to identify requirements and prioritize security needs.
* Continuously monitor systems and infrastructure for vulnerabilities, intrusions, and misconfiguration.
* Perform or manage penetration testing initiatives to identify security weaknesses.

We are looking for an experienced DevSecOps Engineer to join our DevOps core platform team and help strengthen the security of our cloud-native infrastructure and development pipelines.
You will work closely with our CISO, DevOps team, and developers to integrate security practices across the entire software development lifecycle (SDLC), helping ensure a secure, scalable, and resilient platform across cloud and on-prem environments.
The Responsibilities:
Integrate security practices into CI/CD pipelines and across the SDLC
Design and implement automated security solutions (vulnerability scanning, compliance checks, threat detection)
Build and maintain Infrastructure as Code (IaC) for secure, scalable cloud environments (Terraform, Ansible)
Automate security controls and operational processes across cloud and Kubernetes environments
Design, implement, and optimize CI/CD pipelines with a focus on security, reliability, and performance
Secure cloud and on-prem environments (IAM, network controls, encryption best practices)
Manage and harden Kubernetes workloads, including configuration, access control, and image security
Collaborate with DevOps, developers, and security teams to improve system reliability and overall security posture
Conduct security assessments, penetration testing, and compliance audits
Monitor threats, respond to incidents, and improve incident response processes
Promote DevSecOps culture by guiding teams on secure coding, infrastructure, and deployment practices
Enhance observability by integrating monitoring, logging, and SIEM solutions

Required Senior Developer (DevOps and Infrastructure)
We're revolutionizing how the world moves money with our unified global payments platform. Our team is at the forefront of ensuring the security and resilience of this critical infrastructure, and we're looking for a strong DevOps engineer to play a pivotal role in designing and implementing robust solutions across our infrastructure and applications.
If you have a passion for building secure-by-design systems, a deep understanding of both infrastructure and application principles, and the ability to translate complex requirements into actionable blueprints, we want to hear from you. You'll be instrumental in shaping our infra and security landscape, ensuring our platform remains a trusted and secure environment for our global users.
What You'll Be Doing:
You will work with Python and APIs, codifying infrastructure, and lead the architectural design and implementation of solutions for our cloud infrastructure, network, and applications.
Constantly push optimizations and best practices. Define and maintain security standards, frameworks, and best practices across the organization.
Collaborate closely with engineering, product, and operations teams to integrate security seamlessly into the development lifecycle and infrastructure deployments.
Evaluate and recommend security technologies and tools to enhance our security posture.
Develop security reference architectures and patterns to guide engineering teams in building secure solutions.
Participate in threat modeling and risk assessment activities to proactively identify and mitigate potential security threats.
Provide expert guidance and mentorship to engineering teams on security-related topics.
Stay current with the latest security trends, threats, and technologies, and translate them into actionable strategies for us.

we are leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io While Artlist builds cutting-edge AI products to empower creators globally, this role is the other side of that coin. You will build the AI the company runs on internally. You will build the layer that enables, guides, and controls AI efforts across the organization- the identity, access, and audit backbone for internal AI - along with the assistants and automations that run safely on top of it. This is a hands-on infrastructure role with a security, fin-ops, and DevOps reflex built in. You will help teams move quickly as you will define the infra they should use and we manage this infra. What you'll own
* Platform ownership. Own the full lifecycle of internal AI and automation platforms - runtime infrastructure, CI/CD, and identity controls, end to end.
* Identity, cost & control. Implement identity, boundaries, technology, cost, efficiency.
* Workflow architecture. Design and service automations and custom AI assistants for internal teams (Support, Marketing, Legal, Finance, HR, and beyond)to help solve real operational pain.
* Research & tech scouting. Continuously evaluate emerging models, agent frameworks, and SaaS tools and onboard and implement them in Artlist.
* Standardization. Establish reusable design patterns, integrations, and prompt libraries so teams can automate their own work safely, efficiently and smoothly, for the best experience..

We are seeking a highly skilled DevOps / Platform Engineer to join our R&D team. In this role, you will be responsible for designing, operating, and scaling our cloud infrastructure while supporting both engineering and machine learning initiatives.

You will own our AWS environment end-to-end - from infrastructure architecture and Kubernetes operations to MLOps enablement, security hardening, and cost optimization. This role goes beyond traditional DevOps and includes responsibilities across IT operations support, multi-account AWS management, DevSecOps practices, DevFinOps ownership, and machine learning infrastructure.

You will play a critical role in ensuring our systems are secure, scalable, observable, and cost-efficient, while enabling fast and reliable software and model delivery.

Responsibilities
Cloud Infrastructure & Platform Ownership

Design, implement, and maintain scalable infrastructure in a multi-account AWS organization
Manage and deploy applications using Helm charts, GitOps workflows using ArgoCD
Support CI/CD pipelines and release processes.
Observability & Reliability

Implement and maintain monitoring and logging solutions.
Define alerts, dashboards, and SLOs to ensure system health and operational excellence.
MLOps Enablement

Support and operate ML infrastructure in AWS
Enable reliable model deployment, monitoring, and lifecycle management.
DevSecOps & Security

Implement security best practices across infrastructure and CI/CD pipelines
Enforce IAM least-privilege policies and secure networking configurations
Integrate security ownership and compliance controls.
DevFinOps & Cost Optimization

Monitor and optimize AWS resource utilization and costs
Implement cost visibility and reporting practices
IT & Operational Support

Support internal IT-related infrastructure tasks
Continuously improve operational processes and automation