דרושים » מחשבים ורשתות » Devops Engineer

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

Our SaaS platform leverages AI to make information accessible, actionable, and measurable, driving productivity and satisfaction for enterprises worldwide. As we scale rapidly to support mission-critical deployments, we are strengthening our engineering foundations across cloud infrastructure, reliability, and operational excellence. About the Role 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.

Advantages:

* Certifications in Azure, AWS, Kubernetes (CKA/CKAD), and FinOps Practitioner.
* Experience with knowledge management or AI/ML-powered SaaS products.
* Familiarity with security frameworks (NIST, ISO).

Responsibilities:
* Own the design, implementation, and maintenance of DevOps processes in alignment with project requirements and industry best practices.
* Implement Infrastructure as Code (IaC), support secure development practices, work with GitOps methodologies, operate in air-gapped environments, develop scripts, and build CI/CD pipelines.
* Lead and optimize processes across all stages of the software development lifecycle, leveraging advanced technologies and tools for complex cybersecurity projects in defense systems.
* Collaborate closely with development teams and cross-functional stakeholders as part of a multidisciplinary team.

Come join the company team as a Staff AI Engineer.
Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all our company products.
You will utilize your skills to help develop and maintain backend services leveraging AI and machine learning models, using both analytical algorithms and deep learning approaches, to acquire data from financial institutions on behalf of our users.
Responsibilities
Lead and apply best practices in AI driven software lifecycle management, from ideation, through development and evaluation to production deployment.
Build a backend service with AI in its core at scale (millions of users and requests daily)
Collaborate with stakeholders to define success criteria and align model metrics with business goals
Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
Explore the state-of-the-art technologies and apply them to deliver customer benefits.

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.
Help automate, deliver, monitor, and improve GenAI solutions while taking 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.

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.

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.

As a Senior Cloud FinOps Specialist , you will be responsible for driving cloud cost optimization initiatives, providing strategic insights, and collaborating with advanced customers to achieve significant cost savings while maintaining top-notch cloud performance. Your role will encompass a deep understanding of cloud architecture aspects related to cost optimization and the ability to articulate findings in assess and recommendation documents.

Key Responsibilities:

Cloud Cost Optimization: Lead cloud cost optimization sessions by analyzing existing cloud infrastructure and identifying opportunities for cost reduction.
Advanced Customer Engagement: Collaborate with advanced customers to understand their specific cloud cost challenges, requirements, and goals. Provide tailored solutions to address their unique needs.
Analysis and Insights: Utilize your strong analytical skills to review cloud consumption data, identify inefficiencies, and recommend optimization strategies.
Cost Model Development: Create and maintain cloud cost models and pricing scenarios to support optimization efforts.
Documentation: Produce high-quality, formal documents and reports to present findings, recommendations, and cost optimization plans to customers.
Cost Monitoring: Implement and maintain cloud cost monitoring tools and dashboards to track and report on cost savings.
Cloud Architecture Expertise: Understand cloud architecture aspects that influence cost, such as resource provisioning, scaling, and resource utilization.
Cost-Effective Best Practices: Stay current with industry best practices and emerging cloud technologies to ensure our cost optimization strategies align with the latest trends.

A cybersecurity company is seeking a Founding Engineer for a key and impactful role.
This position includes full ownership of the development, architecture, and delivery of an advanced SaaS platform designed for Enterprise organizations and cybersecurity management.
This is a senior role for a highly hands-on candidate with strong technical depth, broad system thinking, and the ability to lead a product end-to-end - from architectural decisions to maintaining a stable, secure, and scalable production environment.
Responsibilities:
Lead the entire R&D function of the product
Make architectural decisions and maintain a scalable, reliable, and secure infrastructure
Stay hands-on with development when needed, including Backend, Frontend, Infrastructure, and integrations
Work closely with leadership, product, and business stakeholders to build a clear technical and product roadmap
Bridge business needs, cybersecurity challenges, and technical execution