דרושים » הנדסה » Devops Engineer

we are looking for an experienced DevOps Engineer with an ability to deliver, implement and design complex solutions to join a cutting-edge technology team!
We are seeking a highly skilled DevOps professional with strong hands-on experience and a proven track record of building DevOps infrastructures from the ground up.
This role combines technical leadership with hands-on execution and offers the opportunity to drive the design and implementation of modern DevOps practices in complex environments.
🚀Join us and take part in building advanced DevOps platforms, modrn cloud infrastructures, and innovative technology solutions in a dynamic and challenging environment.
Responsibilities:
✔ Lead the design and implementation of DevOps infrastructure from scratch, including automation frameworks and deployment pipelines.
✔ Build, maintain, and optimize scalable CI/CD processes for microservices-based architectures.
✔ Design and manage cloud-native and hybrid infrastructures, with a strong focus on AWS environments.
✔ Deploy and operate containerized applications using Docker and Kubernetes.
✔ Work closely with Development, QA, and Security teams to deliver reliable and efficient solutions.
✔ Implement monitoring, logging, and observability solutions to ensure system reliability and performance.
✔ Support production environments, troubleshoot issues, and continuously improve operational processes.
✔ Drive best practices around automation, scalability, security, and infrastructure management.

We are looking for an experienced Technical Lead to join our DevOps team and serve as a key technical authority across customer engagements and internal initiatives. This role combines hands-on engineering, technical leadership, and architectural thinking, with a strong focus on delivering scalable, secure, and high-quality cloud solutions.
You will act as a trusted partner to the Team Lead, driving technical direction, solving complex challenges, and helping the team adopt modern technologies and best practices.
Responsibilities:
Act as the primary technical authority for complex challenges and architectural decisions, owning the technical direction across customer engagements and internal projects
Take strong ownership of technical outcomes and drive end-to-end implementation of cloud solutions, from design to production readiness
Define and enforce best practices, standards, and validation processes, leading technical reviews and knowledge sharing across the team
Mentor engineers and support their technical growth and skill development
Support pre-sales activities including demos, scoping, and POCs, and review SOWs with technical validation, recommendations, and LOE estimates
Drive adoption of new technologies, in collaboration with the CTO office
Contribute to and prioritize technical backlog items and internal assets, including reusable code and documentation
Balance hands-on execution with mentorship and continuous innovation

we are looking for a Staff Software Engineer.
Security R&D operates in two complementary modes: open contribution to product engineering - writing code alongside product teams where security expertise adds value - and developing its own security capabilities, including internal tooling, externally facing product features, AI-powered security automation, and third-party integrations.
This is a new team being stood up in Petah Tikva, Israel, co-located with ServiceNows AI Security Research team. You will help shape the teams engineering practices and technical foundation from day one.
This role reports to the Sr. Engineering Manager, Security R&D.
What You Will Do:
Build Security Capabilities
Design and develop security tooling, automation, and platform services that operate at ServiceNows enterprise scale.
Contribute code directly into ServiceNow product engineering codebases, embedding security capabilities where they have the highest impact.
Build AI-powered security automation by integrating in-house models and third-party services into production workflows.
Leverage ServiceNows platform - Agent Framework runtime, ACL enforcement, data layer, and workflow engine - to create security capabilities that external vendors cannot match.
Collaborate Across Teams
Work closely with the AI Security Research team on tooling for AI agent security, translating research insights into production-grade engineering.
Partner with product engineering teams during open contribution engagements, earning trust through code quality, reliability, and delivery.
Participate in design reviews, code reviews, and architecture discussions, contributing to the teams technical standards and engineering culture.
Grow with the Team
Help define engineering best practices as a founding member of the Security R&D team.
Contribute to hiring and onboarding as the team scales, helping maintain the engineering bar.
Stay current on emerging AI/ML technologies and security threats, bringing new ideas into the teams roadmap.

You will play a key role in leading and scaling our DevOps and Cloud operations teams. Your mission is to ensure that our SaaS platform is reliable, scalable, and efficient, while enabling engineering velocity and high-quality delivery.

This is a hands-on leadership role combining technical depth with team management. You will work closely with R&D and Product to continuously improve our infrastructure, deployment processes, and production operations.

Responsibilities

DevOps Management
Architect and manage multi-cloud infrastructure (Azure, AWS, GCP).
Own CI/CD pipelines and IaC frameworks (Terraform, Pulumi).
Define and enforce SLOs/SLAs with an SRE mindset.
Manage monitoring, alerting, and incidents.
Promote Kubernetes and scalable micro-services practices.

SecOps & FinOps
Support implementation of security best practices across cloud and CI/CD environments in collaboration with Security stakeholders.
Participate in security incident response processes when relevant.
Own cloud cost visibility and optimization processes, including tagging, monitoring, and ongoing efficiency improvements.
Support business continuity and disaster recovery.
Enforce cost-efficiency policies and guardrails.

People & Process Management
Manage and develop DevOps team.
Establish and improve operational processes to support engineering delivery and production readiness.
Foster a culture of ownership and continuous improvement.
Provide operational metrics and updates to engineering leadership.

We're looking for a hands-on Software Developer to join our R&D team, working on the full pipeline - cameras, video processing, automated production, graphics, and backend infrastructure. If you love low-level systems, real-time challenges, and seeing your code live in actual sports arenas, this is the role for you.
As part of your role, you will:
Develop and maintain high-performance C++ systems across the video pipeline
Work on real-time video processing, ingest/transcode pipelines, and streaming infrastructure
Collaborate with the team on backend services written in Python and Go
Identify and resolve performance bottlenecks in multithreaded, low-latency systems
Work closely with Product, QA, and DevOps to ship reliable, scalable features
Leverage AI tools (primarily Claude) as part of your daily development workflow.

Were looking for a driven, excellent Senior Backend Developer with a true obsession for technologies, AI, a builder who constantly explore, push boundaries and shares knowledge with others.
Join our Parking Domain and work on large-scale, high-impact systems serving millions of users!
Responsibilities
Lead complex backend projects, from functional specifications and technical design through development, deployment, and production support.
Partner closely with the Team Lead, contributing to team leadership through code reviews, mentoring, and maintaining high engineering standards.
Design, develop, and own scalable, production-grade backend systems.
Architect and lead the development of cloud-native, microservices-based systems and distributed architectures on AWS.
Work with a variety of data storage technologies and make informed decisions on data architecture.
Collaborate with cross-functional teams, including Product, DevOps, and Frontend, to deliver end-to-end solutions.
Actively leverage AI tools such as Cursor, Claude Code, and other AI coding assistants to accelerate development and improve engineering productivity.
Design and build reusable AI sub-agents, skills, and templates to scale development workflows across the team.
Main Tech Stack: Python, .NET Core, AWS, DynamoDB, SQL Server, and more.

Looking for your next challenge in the DevOps and Cloud space? Join a large-scale, well-established financial organization that delivers essential financial services across Israel. We are looking for a Senior DevOps Engineer to play a key role in shaping CI/CD, automation, cloud infrastructure, and release management practices. (Modi'in, Hybrid)
What you'll be doing: Design, build, and maintain CI/CD pipelines using Azure DevOps Lead release processes from development through production Build automation frameworks and reusable delivery templates for development teams Work with AKS and Kubernetes production environments Implement and manage security, governance, and access control practices Continuously improve delivery processes, monitoring, reliability, and system availability Collaborate closely with Development, QA, Infrastructure, Security, and Cloud teams

We are seeking a skilled versatile software engineer with a vast experience in enterprise business applications development (like: Salesforce, NetSuite etc.) that will be part of the business applications development team and will also have a deep understanding of enterprise grade AI development and implementation, specifically, but not limited to, Microsoft 365 AI tools , Microsoft applications building tools, Claude tools and working with various AI models.
The ideal candidate will design, implement, and optimize business solutions and AI solutions that enhance Cellebrite business processes, productivity and collaboration across our organization.
Key Responsibilities:
Design, develop, and deploy business applications solutions and AI-driven solutions integrated with enterprise business systems.
Partner with IT analysts and business stakeholders to understand requirements, and translate them into scalable technical solutions, that deliver measurable business impact.
Build and integrate LLM-based solutions (e.g., OpenAI, Anthropic, AWS Bedrock), including coding, orchestration workflows using tools such as LangChain, n8n, or similar frameworks.
Own the end-to-end lifecycle of business applications and AI solutions -from prototyping and experimentation to production deployment, monitoring, maintenance & support and continuous optimization.
Integrate and enhance enterprise platforms (e.g., Salesforce, NetSuite, iPaaS services) with AI capabilities to improve business processes.
Evaluate, adopt, and standardize AI tools, frameworks, and best practices, while staying current with emerging technologies and proactively being part of a continuous innovation.
Maintenance and support - handling relevant tickets and bugs within defined SLA and customer satisfaction targets.

Come join the team as a Staff Machine Learning Engineer.
We are seeking a highly skilled ML engineer passionate about building a world-class platform at a high scale, specifically focused on delivering AI capabilities.
You will be part of a vibrant team of AI Scientists and ML Engineers, helping to build the next generation of awesome products and experiences using cutting-edge Generative AI technology.
If you love having stretch goals, challenges, and making customers incredibly happy while fostering your obsessive need for perfect code and user experience, this is the job for you.
Responsibilities:
Design, implement, and enhance services at large scale, specifically focusing on improving Generative AI inference, quantization, optimization, finetuning, and evaluation.
Use your coding expertise to design and implement scalable, modular, and secure services.
Develop backend systems that support serving of LLMs and AI Agents at scale, utilizing the latest industry tools and techniques.
Work cross-functionally with product managers, AI scientists, business units, and other engineers to understand, implement, refine, and design Generative AI models.
ng end-to-end responsibilities including technical documentation and automation tests.
Interact with a variety of data sources, working closely with peers to refine features from the underlying data and build end-to-end pipelines.
Resolve defects and bugs during testing, production, and post-release patches, and participate in peer code reviews.
Explore the state-of-the-art technologies and apply them to deliver customer benefits.