Senior Delivery Consultant - Modernization, Professional Services

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8626304

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חברת השמה / כח אדם

לפני 13 שעות

Sr. MLOps Engineer - Falcon Cloud Security

CrowdStrike

Location: Tel Aviv-Yafo

Job Type: Full Time

CrowdStrike's Data Science Studio is seeking a pioneering Senior MLOps Engineer to establish and lead our MLOps function from the ground up. As the first MLOps engineer in the studio, you will play a foundational role in shaping how we build, deploy, and scale machine learning systems that protect thousands of organizations worldwide.

This is a unique opportunity to define the technical strategy, influence the technology stack, and architect the infrastructure that will power our AI/ML-driven security solutions for years to come.

This role combines strategic vision with hands-on execution. You'll work at the intersection of data science, engineering, and production operations - building production-grade systems that operate at immense scale while collaborating closely with highly technical data scientists and ML engineering teams across CrowdStrike.

What You'll Do:
- Architect MLOps infrastructure from the ground up: Design and implement the foundational MLOps platform, establishing best practices, tooling, and workflows that will scale with our growing data science initiatives
- Define technology strategy: Evaluate, select, and integrate MLOps technologies and platforms that best serve our needs - from experiment tracking and model versioning to deployment pipelines and monitoring systems
- Build production-grade ML pipelines: Develop robust, scalable pipelines for model training, validation, deployment, and monitoring that handle massive data volumes and ensure reliability in production
- Enable data scientist productivity: Create tools, frameworks, and automation that empower data scientists to move quickly from research to production while maintaining high quality and reliability standards
- Establish monitoring and observability: Implement comprehensive monitoring, logging, and alerting systems to ensure ML models perform optimally in production and issues are detected proactively
- Drive MLOps culture and practices: Champion best practices in ML engineering, CI/CD for ML, model governance, and reproducibility across the data science organization
- Collaborate cross-functionally: Partner closely with data scientists to understand their workflows and pain points, and work with ML engineering teams to ensure seamless integration with broader platform capabilities
-Scale for the future: Design systems with scalability, security, and maintainability in mind, anticipating the needs of a rapidly growing ML portfolio

Requirements:
- 6+ years of experience in MLOps, ML engineering, DevOps, or related infrastructure roles with focus on machine learning systems
- Production ML systems expertise: Proven track record of building and operating ML systems at scale in production environments
- Strong infrastructure and automation skills: Deep knowledge of cloud platforms (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, CloudFormation)
- ML pipeline proficiency: Hands-on experience with ML workflow orchestration tools (e.g., Airflow, Kubeflow, MLflow, Metaflow) and building end-to-end ML pipelines
- Programming excellence: Strong coding skills in Python; experience with additional languages is a plus
- CI/CD and DevOps practices: Expertise in building automated deployment pipelines, version control, and modern DevOps methodologies
- Strategic and hands-on balance: Ability to think architecturally about long-term solutions while rolling up your sleeves to implement them
- Collaborative mindset: Excellent communication skills and ability to work effectively with data scientists, engineers, and stakeholders with varying technical backgrounds
- Startup mentality: Comfort with ambiguity and ability to build from scratch in a fast-paced environment

This position is open to all candidates.

הגשת מועמדות

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8611396

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חברת השמה / כח אדם

לפני 8 שעות

Machine Learning Engineer II - GenAI Applications

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

we are looking for a Machine Learning Engineer II .
As a Machine Learning Engineer, you will work closely with experienced engineers and ML scientists to build scalable, production-grade GenAI applications. Your work will focus on designing, training, and deploying ML systems leveraging LLMs,, recommendation systems, and agent-based architectures, using state-of-the-art technologies. These solutions will directly power customer-facing experiences and play a key role in shaping the future of AI-driven travel products.
Key Job Responsibilities and Duties:
Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.
Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.
Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, chatbots, translation or other innovative applications.
Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.
Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.
Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

Requirements:
Bachelors or masters degree in computer science, Engineering, Statistics, or a related field.
Minimum of 4 years of experience as a Machine Learning Engineer or a similar role, with a consistent record of successfully delivering ML solutions.
Strong programming skills in languages such as Python and Java.
Experience with cloud frameworks like AWS sagemaker for training, evaluation and serving models using TensorFlow, PyTorch, or scikit-learn.
Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.
Experience with data at scale using MySQL, Pyspark, Snowflake and similar frameworks.
Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.
Deep understanding of machine learning algorithms, statistical models, and data structures.
Experience in deploying large-scale language models like GPT, BERT, or similar architectures - an advantage.
Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib - an advantage.
Experience with experimental design, A/B testing, and evaluation metrics for ML models - an advantage.
Experience of working on products that impact a large customer base - an advantage.
Excellent communication in English; written and spoken.

This position is open to all candidates.

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8627502

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14/04/2026

Senior/ Principal/ Sr Principal Engineer (Cortex Cloud)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Senior/ Principal/ Senior Principal Software Engineer at Cortex Cloud, you will serve as a primary technical architect and visionary for our core communication infrastructure. This role is focused on the critical server-side backbone that facilitates high-scale bidirectional communication between our cloud services and client-side applications.
You will be responsible for the architectural integrity of systems that receive massive data inflows from the field and reliably broadcast intelligence back to millions of endpoints. This is a high-impact leadership role requiring a blend of deep technical mastery in distributed systems and the ability to influence technical strategy across the organization.
Key Responsibilities
Architectural Strategy & Vision: Define and drive the multi-year technical roadmap for our server-side communication infrastructure, ensuring the platform remains resilient and performant under extreme load.
High-Scale Communication Infrastructure: Lead the design and implementation of backend systems optimized for receiving high-scale data from client-side apps and distributing data back to a vast ecosystem of endpoints.
Technical Leadership & Influence: Act as a force multiplier by providing technical guidance to multiple engineering teams, aligning them on shared protocols, architectural standards, and communication patterns.
Drive Engineering Excellence: Champion a culture of high engineering rigor, focusing on deep observability, low-latency data distribution, and runtime stability for mission-critical production environments.
Cross-Functional Collaboration: Partner with Product Management, Infrastructure, and Client-Side Engineering teams to evaluate technical trade-offs, mitigate risks, and ensure seamless end-to-end data flow.
Innovation & Prototyping: Spearhead the evaluation of emerging technologies and lead "proof of concept" initiatives for next-generation transport layers and messaging paradigms.
Technical Mentorship: Invest in the growth of Senior and Staff engineers through deep-dive design reviews, code audits, and hands-on pair programming on the most critical paths.
Strategic Customer Engagement: Support the business by leading technical deep dives with strategic customers, translating complex architectural concepts into actionable confidence for our partners.

Requirements:
5+/ 8+/10+ years of software engineering experience with a proven track record of delivering robust, high-scale distributed systems.
Server-Side Mastery: Deep expertise in systems-level programming and modern backend languages (e.g., Go, Python) with a focus on building scalable server-side infrastructure.
Cloud Native Foundations: Extensive experience designing, deploying, and operating large-scale architectures on GCP, AWS, or Azure, including strong knowledge of Kubernetes, Docker and Helm.
Bidirectional Data Flow: Proven ability to architect systems that handle high-concurrency data ingestion and wide-scale data distribution/broadcasting.
Systemic Problem Solving: Demonstrated experience in profiling, debugging, and optimizing complex distributed systems to eliminate performance bottlenecks.
Influence & Communication: Exceptional ability to communicate complex technical concepts to both highly technical peers and non-technical stakeholders.
Preferred Qualifications
Data Platform Expertise: Familiarity with architecting solutions using large-scale data platforms such as BigQuery, MongoDB, and MySQL.
High-Performance Caching: Hands-on experience with in-memory data stores and acceleration technologies like Redis, Dragonfly, or similar high-throughput caching layers.
Event-Driven Architecture: Deep understanding of Event-Driven systems and asynchronous messaging patterns to ensure decoupled and scalable service interactions.
Modern Tooling: Experience leveraging AI-assisted development tools (Gemini, Claude) to optimize the SDLC and automate complex testing/generation tasks.
Advanced Degree: B.

This position is open to all candidates.

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8588269

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31/03/2026

Sr. Software Engineer - Agentic Workflows

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

The Falcon Cloud Security team is looking for a hands-on Engineering Manager / Team Lead to lead the development of Agentic Workflows - a transformative initiative aimed at automating complex security operations using AI-native agents. You will lead a team of talented engineers while remaining deeply technical, helping architect and build autonomous systems that don't just alert but actively reason, investigate, and remediate security risks across multi-cloud environments.
As a player-coach, you will help shape the "brain" of our cloud security platform, guiding both the people and the technology that leverages large-scale data and AI-driven logic to help customers discover misconfigurations, prioritize risks, and automate defensive actions at scale.

What You'll Do:

Lead & Grow a Team: Manage, mentor, and develop a team of backend engineers, fostering a high-trust, high-performance culture. Conduct regular 1:1s, support career growth, and drive hiring to scale the team.

Stay Hands-On: Remain an active technical contributor - designing, reviewing, and writing production-quality code alongside your team. Lead by example and maintain a strong engineering presence.

Design & Architect: Drive backend engineering efforts to build autonomous agentic frameworks, guiding the team from rapid prototypes to large-scale production applications.

Develop Core Logic: Contribute to and oversee the development of decision-making engines and workflows that allow security agents to interact with cloud APIs (AWS, Azure, GCP) and internal data streams.

Data Integration: Guide the development of high-performance data integrations and streaming services (Kafka) to feed real-time security data into agentic models for continuous reasoning.

Scale Systems: Architect and oversee distributed systems capable of processing billions of security events to provide actionable posture intelligence and automated remediation.

Drive Cross-Functional Collaboration: Partner with Product, Design, and peer engineering teams in a "startup-like" environment to define and deliver new platform capabilities with speed and quality.

Raise the Bar: Champion engineering excellence, new technologies, and best practices across the team and broader engineering organization.

Requirements:
Experience: 8+ years of backend engineering experience, with at least 2 years in an engineering leadership role (Tech Lead, Staff Engineer, or Engineering Manager). Strong proficiency in Go and Python.

People Leadership: Demonstrated ability to hire, mentor, and develop engineers at varying levels. Comfortable balancing technical contribution with team management responsibilities.

AI/LLM Experience: Prior experience building workflows powered by LLMs, RAG, or autonomous agents. Strong understanding of agent frameworks and key components including model integration, tool calling patterns, and Model Context Protocol (MCP).

Cloud Expertise: Deep knowledge of at least two major cloud providers (AWS, Azure, or GCP).

Systems Engineering: Strong understanding of distributed systems, scalability, concurrency, and resilient architecture.

Data Proficiency: Solid experience with data modeling, RDBMS (SQL), and distributed caching solutions like Redis.

Education: BS/MS in Computer Science or equivalent professional experience in data structures and algorithms.

This position is open to all candidates.

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8598630

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31/03/2026

Engineering Manager - Agentic Workflows (Falcon Cloud Security)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

This position is open to all candidates.

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8598636

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22/03/2026

Senior AI and MLOps Engineer - Security and Networking Research

חברה חסויה

Location: More than one

Job Type: Full Time

We're looking for a Senior AI/MLOps Engineer to join a group that specializes in Security and Networking, and specifically ML, AI and agent development. As a Senior AI/MLOps Engineer, youll build and maintain the infrastructure, tools and processes necessary to support the AI lifecycle in a production environment. You will collaborate closely with data scientists, software engineers, security architects and DevOps teams to ensure smooth deployment, modeling and optimization of AI models. This role involves creative problem solving alongside engineering teams, and is pivotal for the continued success of AI networking security.

What youll be doing:

Developing, improving and optimizing scalable infrastructure for handling and deploying security and networking AI models and agents in production, ensuring high availability, scalability, reproducibility, and performance.

Optimizing AI models and agents for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.

Monitoring and deploying agentic systems, LLMs, and ML models in production.

Designing and implementing frameworks/pipelines for AI training, inference, and experimentation.

Collaborating closely with data scientists, security architects and software engineers to operationalize and deploy AI models and agents, including packaging and integration with existing systems. Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.

Collaborating with DevOps teams to integrate pipelines and workflows into the CI/CD process, ensuring flawless deployments and rollbacks.

Building and maintaining monitoring and alerting systems to proactively identify and resolve issues relating to quality, performance and infrastructure.

Implementing access controls, authentication mechanisms, and encryption standards for AI models and data.

Documenting guidelines, and standard operating procedures for MLOps/AI processes and sharing knowledge with the wider team.

Develop proof-of-concepts for new features.

Requirements:
What we need to see:

BSc/MSc in CS/CE or related field (or equivalent experience).

Strong background in AI with experience deploying and monitoring AI/ML models, LLMs and agents to production systems at scale, including distributed and multi-node environments - at least 5 years of experience.

Proficiency in programming languages such as Python, Java, or Scala, along with experience in using ML/AI frameworks and libraries (e.g. TensorFlow, PyTorch).

Proficiency in microservices architecture, container orchestration, cloud platforms, and scalable infrastructure for training and inference workloads.

Knowledge of inference optimization techniques.

Understanding of build infrastructure and CI/CD tools and practices (e.g. GitLab, GitHub Actions, Jenkins).

You are detail-oriented and care deeply about robust, well tested, high-performance code in production environments.

You are proactive, take full ownership of your deliverables, have a can-do approach, and excellent communication and collaboration skills, able to work effectively in multifunctional teams.

Ways to stand out from the crowd:

Knowledge of network protocols and Linux internals.

Security and networking background, with knowledge of security protocols, network architectures, firewalls, intrusion detection systems, and other relevant security and networking concepts.

Experience deploying and optimizing generative models and agents.

Knowledge of network security principles and practices.

This position is open to all candidates.

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8586605

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01/04/2026

Software Engineer (Platform)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Backend & Infrastructure Engineer, you will design, build, and operate production-grade systems that serve as the backbone of our products.

Your responsibilities will include:

Owning and evolving core backend services with a focus on reliability, performance, and scalability
Designing and maintaining infrastructure components, including cloud resources, deployment pipelines, and monitoring systems
Leading database design, migrations, and operational stability of data-intensive services
Operating and optimizing LLM/ML infrastructure, improving performance, resilience, and cost efficiency
Supporting customer integrations by building and maintaining robust inbound and outbound integration systems
Collaborating closely with Product, DevOps, and other engineers to translate product requirements into long-term technical solutions
Contributing to frontend or cross-stack work when needed to deliver complete, end-to-end features

This role is ideal for engineers who enjoy working close to infrastructure, take pride in operational excellence, and like contributing across system boundaries rather than staying narrowly scoped.

Requirements:
4+ years of professional experience as a Software Engineer, with a focus on backend development.
Strong experience with Backend development using Python is required.
Experience with cloud infrastructure, preferably with the AWS stack.
Experience with end-to-end application development, from design to deployment and maintenance.
Experience with SQL and familiarity with ORM tools (e.g., SQLAlchemy & Alembic).
Familiarity with DevOps practices and tools, including CI/CD pipelines and Containerization technologies (e.g., Docker, Kubernetes).
Ability to collaborate effectively with cross-functional teams and communicate technical concepts clearly.
Familiarity with LLM Provider Cloud services (e.g., AWS Bedrock, Azure AI foundry) - Advantage
Frontend development experience, preferably React - Advantage

This position is open to all candidates.

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8599267

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26/03/2026

regional Developer relations manager - israel

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

our company is the central engine of the global ai revolution, providing the essential high-performance computing infrastructure that powers nearly every major ai and generative ai model today.
we are rapidly growing into various verticals as stated above and looking to grow our team with a Developer relations leader. this role is a key member of the company team that would manage our technical engagements in leading industries such as general ai/ml applications development, consumer internet, ai on Embedded systems and others; and to evangelize our portfolio of technologies and accelerate its adoption among developers. have strong technical competence and the ability to be a leader who can function effectively and independently in a matrixed environment to groom and guide developers.
what you will be doing:
your main responsibility will be developing a technical strategy to assure gpu and our platforms' adoption for the selected industries focusing on priorities. you will need to establish relationships and influence the technical leaders and technical communities, specifically developers, startups and isvs within these industries. you will evangelize and develop our leadership position in this market by accelerating the availability of gpu-accelerated ai and data science applications in the specified market by helping developers understand the value of our hardware products and sdks in addressing critical development opportunities. lead participation in targeted customer and industry Developer events and activities. chair technical activities spanning product divisions and sales geographies, particularly with solution architects, software developers and engineering resources, Developer marketing contribute towards our local ecosystem strategy and development of our value messaging for your customers. be the key advisor to how we are differentiated. you will become a company technology mentor and focal point for the software Developer community.

Requirements:
what we need to see:
bachelor's degree in engineering, science, technical or other related discipline or equivalent experience. master's or ph.ds is preferred. intellectual curiosity and passion for innovation.
experience in several verticals/industries with good knowledge and trends in the industry.
expertise in cuda programming, gpu platforms and deep learning and Machine Learning frameworks.
you will show a deep understanding of who and how to engage the developers product and engineering organizations with at least 8 years related experience.
5+ years experience in an ai and ml software development environment or working with developers in these areas; and at least 3 years experience in business development activities.
able to work independently and possess excellent communication skills to drive customer and internal engagements.
demonstrate ability to influence, evangelize and persuade at both operational and executive level (including engineering/ product management) to achieve a targeted outcome.
execute and accelerate strategic decisions
ability to effectively deliver value propositions for specific and targeted industries.
ensure a positive experience for external customers and partners while working cross functionally within our organization.
ways to stand out from the crowd:
experience working on ai deep learning and Machine Learning applications, ai model training/inferencing and other gpu related technologies and application domain.
strong technical understanding of data analytics, conversational ai, Embedded system /jetson.
experience in network communication protocol is an added advantage.
strong analytical, problem solving, and negotiation skills and the ability to use data analysis to support strategic decisions
excellent organizational, planning, and execution skills

This position is open to all candidates.

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8593528

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05/04/2026

Enterprise Professional Services Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As an Enterprise Professional Services Engineer, you are the technical architect and relationship lead for our most strategic global accounts. You own the technical success of the customer journey, focusing on Solution Design and the Integration Strategy required to make our company the heart of a modern IT stack.
This is a high-impact role for a consultant-engineer hybrid. You will be expected to leverage deep API architecture knowledge, advanced scripting, and creative problem-solving to design bespoke solutions that bridge the gap between our company and complex enterprise ecosystems. You are the "Bridge" between business requirements and technical reality.
Key Responsibilities
Integration Design & Scripting Excellence
Architect Integration Solutions: Lead the technical design of complex integrations using REST APIs and webhooks to seamlessly connect our company with enterprise stacks such as ServiceNow, Salesforce, Okta, and Azure.
Advanced Automation Scripting: Utilize PowerShell and Python to automate complex IT workflows, data migrations, and system synchronizations tailored to enterprise security and compliance standards.
Technical Strategy: Design end-to-end migration paths for Enterprise customers, moving them from legacy infrastructure to a modern, AI-first our company environment.
AI-Driven Workflows: Design and implement AI-driven automation logic that reduces manual overhead and optimizes operational efficiency for global IT teams.
Relationship & Project Leadership
Lead the Relationship: Serve as the primary technical point of contact, managing stakeholder expectations and translating high-level business goals into technical solution blueprints.
Project Execution: Own the full project lifecycle from a leadership perspective-ensuring on-time delivery, technical validation, and a "white-glove" customer experience.
Global Travel: Travel abroad up to 25% of the time to conduct on-site architectural workshops, lead high-stakes deployments, and build face-to-face rapport with strategic partners.
Communication
English - High proficiency: You must be able to present complex technical architectures to C-suite stakeholders with clarity, authority, and professional polish.
Solution Documentation: Produce high-quality architectural diagrams, technical implementation guides, and API mapping documentation.

Requirements:
What You Bring
5+ Years of Experience: Proven track record in Professional Services, Solutions Architecture, or Technical Implementation for Enterprise SaaS.
Integration & Design Expert:
Deep expertise in REST API structures and integration patterns (mapping data between disparate systems).
High proficiency in PowerShell and Python for automation and system administration.
Strong Solution Design skills: The ability to visualize and document how data flows between our company and platforms like ServiceNow, Salesforce, Okta, and Azure.
AI Literacy:
Solid understanding of how to leverage AI/LLMs to troubleshoot integration logic, design smarter automations, and accelerate solution delivery.
Communication Mastery:
Exceptional verbal and written English (Native or Near-Native). You are a "client-facing natural" who can lead a boardroom.
The "Bridge" Mentality: You can lead a project from both a relationship perspective (diplomacy, timelines, expectations) and a technical perspective (logic, scripting, architecture).
Global Mobility:
A valid passport and the willingness to travel internationally up to 25%.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8600984

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אירעה שגיאה בשליחת פרטיך למשרה

30/03/2026

DevOps Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

The DevOps Engineer builds, automates, and operates cloud‑native infrastructure across AWS and Red Hat OpenShift, enabling scalable, secure, and reliable application delivery. This role combines hands‑on platform engineering, CI/CD automation, container orchestration, and the integration of AI‑powered tools for observability, anomaly detection, and operational efficiency. The engineer collaborates closely with development, security, and SRE teams to streamline deployments and improve system resilience.
Core Responsibilities
Cloud & Platform Engineering
Design, deploy, and maintain cloud‑native infrastructure on AWS (EC2, VPC, IAM, EKS, S3, RDS, Lambda).
Operate and optimize Red Hat OpenShift clusters, including cluster upgrades, operator management, and workload orchestration.
Implement Infrastructure‑as‑Code using Terraform, CloudFormation, or Ansible.
Build secure, scalable network architectures including VPC design, load balancing, service mesh, and ingress/egress controls.
CI/CD & Automation
Develop and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or Argo Workflows.
Automate build, test, and deployment workflows for microservices and containerized applications.
Implement GitOps practices using Argo CD or Flux.
Create reusable automation modules and scripts in Python, Bash, or Go.
Containers & Kubernetes
Manage containerized workloads using Docker, Kubernetes, and OpenShift Operators.
Configure namespaces, RBAC, secrets, ConfigMaps, and resource quotas.
Troubleshoot cluster performance, networking, and scheduling issues.
Support service mesh technologies (Istio, Linkerd) when applicable.
AI‑Driven Operations
Integrate AI/ML‑based tools for monitoring, anomaly detection, predictive scaling, and automated remediation.
Work with data and platform teams to operationalize AI/ML pipelines on Kubernetes or OpenShift.
Evaluate emerging AI‑Ops platforms and contribute to automation strategies.
Observability & Reliability
Implement monitoring, logging, and tracing using Prometheus, Grafana, ELK, Loki, CloudWatch, or Datadog.
Build alerting, dashboards, and SLO‑based reliability metrics.
Participate in on‑call rotations and incident response, driving root‑cause analysis and long‑term fixes.
Security & Compliance
Apply DevSecOps practices including image scanning, secrets management, and policy enforcement.
Work with security teams to implement IAM best practices, encryption, and compliance controls.
Integrate tools such as Vault, OPA/Gatekeeper, or Kyverno.

Requirements:
2-5 years of experience in DevOps, cloud engineering, or platform operations.
Strong hands‑on experience with AWS services and cloud architecture fundamentals.
Practical experience with Kubernetes and Red Hat OpenShift.
Proficiency with Terraform, Ansible, or similar IaC tools.
Experience building CI/CD pipelines and automating deployments.
Solid Linux administration and networking fundamentals.
Scripting skills in Python, Bash, or Go.
Understanding of container security, cloud security, and DevSecOps practices.
Preferred Qualifications
Certifications: AWS Solutions Architect, CKA/CKAD, Red Hat OpenShift, Terraform Associate.
Experience with AI‑Ops platforms or ML pipeline orchestration.
Familiarity with service mesh, API gateways, or event‑driven architectures.
Experience with multi‑cluster or hybrid cloud environments.
Background in SRE practices (SLOs, error budgets, chaos engineering).
What Success Looks Like
Reliable, automated, and secure cloud‑native infrastructure supporting rapid development cycles.
Stable and observable Kubernetes/OpenShift environments with clear operational metrics.
Reduced manual work through automation and AI‑driven insights.
Strong collaboration with engineering teams and continuous improvement of DevOps practices.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8597223

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