DevOps Engineer jobs in Petah Tikva

Description TeraSky is a global technology solution integrator specializing in AI, Cloud, DevOps platforms and Data. Since 2010, we have helped more than 1,000 organizations adopt advanced technologies through over 4,000 complex deployments, including Kubernetes platforms, modern data environments, and Generative AI solutions. Our team of 300+ experts works closely with leading technology partners, including AWS, Microsoft, Google, and VMware, to design, implement, and operate scalable enterprise environments. If you’re excited about working with leading experts, modern technologies, and complex, high-impact projects, TeraSky offers an environment where you can grow and make a real impact 🚀 We are looking for an experienced Senior DevOps & Platform Engineer to join our DevOps team and help customers modernize their software delivery platforms, cloud infrastructure, and engineering practices. This role combines hands-on engineering, software development, platform architecture, and customer-facing consulting. You will work directly with customers to assess their development lifecycle, understand their tooling and processes, and design scalable, secure, and automated solutions that accelerate software delivery and improve developer experience. Responsibilities • Design, implement, and maintain cloud-native platforms across AWS, Azure, and Kubernetes environments • Implement and optimize Kubernetes platforms and cloud infrastructure solutions for enterprise customers • Build CI/CD pipelines, GitOps workflows, Infrastructure as Code solutions, and deployment automation • Develop automation, integrations, and platform services using Python, Go, and modern engineering practices • Lead customer discovery sessions, technical assessments, and workshops to understand existing development and operational processes • Interview Development, Operations, Security, and Leadership teams to identify challenges and improvement opportunities • Design target-state architectures, platform roadmaps, and implementation plans • Implement observability, monitoring, logging, and security best practices across customer environments • Deliver technical presentations, workshops, and knowledge-transfer sessions • Contribute reusable automation, documentation, and internal platform assets Requirements • At least 5 years of experience in DevOps, Platform Engineering, Cloud Engineering, or Software Engineering roles • Strong hands-on experience with Azure cloud platform • Mandatory hands-on experience with Kubernetes (K8s) and the cloud-native ecosystem • Strong experience designing and implementing CI/CD pipelines and DevOps automation • Hands-on experience with Infrastructure as Code tools such as Terraform, OpenTofu, Pulumi, or CloudFormation • Strong programming skills in Python and/or Go, including API integrations and automation development • Experience with GitOps methodologies and tools such as Argo CD or Flux • Experience with observability and monitoring tools such as Prometheus, Grafana, ELK, or OpenSearch • Excellent communication skills with the ability to engage customers, conduct assessments, and present recommendations • Experience in consulting, professional services, Platform Engineering, or DevSecOps environments is an advantage

Description We’re looking for Platform & DevOps Engineer to join our Engineering Platform team and help build, automate, and maintain the infrastructure that supports our products and engineering teams. This is an excellent opportunity to work with modern cloud technologies, learn from experienced engineers, and contribute to the tools and platforms used across the company. In this role, you’ll help architect our cloud platform, unify CI/CD and Infrastructure as Code, and accelerate developer autonomy across the company. You’ll work closely with the Engineering Platform team to build the backbone of Pango’s future engineering ecosystem. Responsibilities • Cloud & Infrastructure: Help maintain and improve Pango’s AWS environment while supporting scalable, reliable cloud infrastructure. • Infrastructure as Code: Develop and maintain Terraform modules, reusable infrastructure, and automation. • CI/CD & Developer Experience: Build and maintain CI/CD pipelines, improve automation, and support developer productivity. • Monitoring & Reliability: Help monitor production systems, improve observability, and contribute to operational excellence. • Collaboration: Work closely with software engineers, participate in code reviews, and continuously learn new technologies. Requirements • 5 years of experience in DevOps, Cloud, SRE, or Platform Engineering • Familiarity with AWS, Kubernetes (EKS), Terraform, and CI/CD concepts • Experience with Docker, Git, and scripting using Python or Bash • Understanding of Linux, networking, and cloud fundamentals • Strong troubleshooting and problem-solving skills • Good communication and teamwork skills • Passion for learning and adopting new technologies

Description We are looking for a Platform and DevOps Team Lead. The team owns Pango's AWS organization and production environment. You will guide the next stage of our platform by expanding developer self-service, growing the Pango AI Portal, and delivering valuable AI capabilities across Pango. ***The role is open to experienced Team Leads and accomplished Tech Leads ready to move into people leadership. The balance between leadership and hands-on contribution will reflect the role's priorities and your experience. Responsibilities • Lead, coach, and develop the Platform and DevOps team. • Own Pango's AWS organization and drive its architecture, reliability, security, governance, and operational excellence. • Build a focused roadmap for cloud infrastructure, CI/CD, observability, automation, and developer self-service. • Grow the AI Portal and advance AI-enabled capabilities across engineering and the wider organization. • Partner with multiple R&D teams and lead delivery with our external engineering and cloud partner. Requirements • Proven technical leadership in complex production environments, including leading significant initiatives and guiding engineers across team boundaries. • Deep AWS experience with business-critical systems and complex or multi-account environments- Must Requirement. • Strong DevOps expertise across Infrastructure as Code, CI/CD, automation, observability, incident response, and scripting or programming. • Production experience with Kubernetes, ideally Amazon EKS, and sound architectural judgment. • Experience building reusable infrastructure or platform capabilities adopted by multiple engineering teams. • Strong communication skills and the ability to set technical direction and align engineers, stakeholders, and external partners. Advantages • Previous people-management experience • Cloud cost optimization experience. • Databases such as DynamoDB, PostgreSQL, Redis, RDS etc...

Description About Cellebrite:  Cellebrite’s (Nasdaq: CLBT) mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. Cellebrite’s AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on Cellebrite’s digital forensic and investigative solutions—available via cloud, on-premises and hybrid deployments—to close cases faster and safeguard communities. To learn more, visit us at www.cellebrite.com, https://investors.cellebrite.com/investors and find us on social media @Cellebrite. What is your mission? As a Senior DevOps Engineer, you'll take charge of automating how we deploy infrastructure and applications with a strong focus on the infrastructure powering our AI/ML systems. You'll also lead efforts to make our processes better, helping engineering and product teams work faster and smarter, without compromising service quality. You bring an AI-first mindset to your own daily work using AI tools to move faster, automate more, and continuously raise the bar on how the team operates. Your work supports Cellebrite's mission to protect lives, accelerate justice, and ensure data privacy. Responsibilities: • Design, develop, and maintain automation processes to deploy large-scale, enterprise-grade applications, including AI/ML workloads and pipelines. • Serve as the go-to expert for CI/CD processes supporting Cellebrite's cloud and AI products. • Architect, deploy, and operate infrastructure for AI systems, including Amazon Bedrock, model endpoints and inference pipelines, following AI infrastructure best practices. • Actively use AI tools and agents (e.g., coding assistants, AI-driven automation, LLM-based troubleshooting) in day-to-day DevOps work to increase velocity, reduce toil, and improve quality and champion this way of working across the team. • Stay current with the fast-moving global AI landscape (new models, frameworks, cloud AI services, industry best practices) and bring relevant advances back into the team's tooling and processes. • Partner with R&D, Product Management, and Architecture to deliver key operational metrics and feedback that support high product availability. • Investigate reported and suspected outages and other issues, including those affecting AI/ML services. • Oversee documentation of issues and resolutions; maintain a knowledge base of known issues. • Produce, oversee production of, and maintain documentation such as architecture diagrams, system designs, and runbooks. • Work alongside fellow SREs, DevOps Engineers, and developers to solve problems and investigate anomalies. • Participate in an on-call rotation to help maintain our 99.95% uptime SLO. Requirements • 7+ years of experience working with AWS, with a proven track record of building complex infrastructure. • 2+ years of hands-on experience working with AI/ML systems in production, applying best practices for reliability, cost, security, and scalability of AI infrastructure. • Strong, hands-on experience with Amazon Bedrock and the broader AWS AI/ML stack (e.g., SageMaker, vector databases). • Demonstrated habit of using AI tools in daily engineering work (e.g., AI coding assistants, agentic workflows, LLM-powered automation) not just knowledge of AI infrastructure, but active personal use to work smarter and faster. • A continuous-learning mindset toward AI genuinely curious about the field, keeps skills current as technology evolves, and enjoys exploring new AI capabilities and applying them practically. • Working knowledge of Google Cloud Platform (GCP), with the ability to operate and troubleshoot across a multi-cloud environment. • Strong experience with networking, containerization (Kubernetes), and Linux system administration. • Deep understanding of Infrastructure as Code (Terraform, CloudFormation, etc.). • Strong experience with Kubernetes, preferably with AWS EKS. • Experience scaling and maintaining high-availability production systems. • Experience with DevOps release management, versioning, build management, automation scripting, and CI tools such as GitHub Actions. • Excellent verbal and written communication skills in English. • Ability to serve as a guide to the team and provide best practices as a DevOps Tech Lead, particularly around AI infrastructure and AI-augmented workflows. #LI-AS1