לוח משרות דרושים ניהול ביניים משרה מלאה

Requirements:
What you bring (must-haves)
* 5+ years hands-on DevOps /SRE in large-scale production.
* Deep production experience: AWS (or major public cloud), Kubernetes, Terraform.
* Proven ownership: design implement release operate improve (independent and team-based).
* Excellent communication; comfortable collaborating with external stakeholders. Nice to have
*  Linux, networking (DNS/HTTP/TCP/IP), and security fundamentals.
* CI/CD with GitHub Actions/Argo CD; service mesh; policy-as-code.
* Observability: OpenTelemetry, Prometheus, Grafana.
* SRE practices (SLOs/error budgets); experience improving DORA-style outcomes.
* FinOps experience; Python / Node.js ; DynamoDB/MongoDB/OpenSearch.

Requirements:
Professional Experience
* Minimum 7 years of experience in DevOps roles, including at least 2 years in a team leadership position.
* Proven experience managing and coordinating distributed DevOps teams across multiple geographies (Israel and Australia).
* Hands-on leadership in hybrid DevOps operations spanning Azure Cloud and on-prem OpenShift environments.
* Experience in managing Kubernetes production clusters across multiple sites (Israel and Australia) including HA, DR, and monitoring.
* Proven experience defining and implementing DevOps strategy, standards, and best practices across development, QA, and production environments.
* Responsible for mentoring, task planning, and performance management of both local and offshore engineers.
* Familiarity with Agile/Scrum methodologies and collaboration with development, QA, IT, and product management teams.
Technical Expertise
* Azure AKS (Kubernetes Service): Setup, scaling, HA, networking, security, monitoring, and production management.
* Red Hat OpenShift (On-Prem): Cluster management, namespace isolation, RBAC, image registry, and CI/CD integration.
* Kubernetes Production Operations: Managing multiple production sites (Israel and Australia) including lifecycle management, capacity planning, security hardening, upgrades, and observability.
* Azure DevOpsgreenTxtBg!: Pipelines, Boards, Artifacts, Repositories, and full build & release automation.
* ArgoCD: GitOps-based deployment management, App-of-Apps architecture, sync policies, and Helm chart management.
* JFrog Artifactory: Repository management for Docker, Helm, Maven, NPM, and version lifecycle control.
* Terraform a must: Infrastructure as Code, modular template design, remote state management, and multi-environment provisioning.
* AWS (optional): EKS, EC2, S3, IAM, and cross-cloud CI/CD integration.
* Scripting: Advanced skills in Bash, PowerShell, or Python for automation and monitoring.
* Helm: Writing, maintaining, and templating Helm charts for Kubernetes deployments.
* Monitoring & Logging: Prometheus, Grafana, and ELK/EFK Stack for observability and troubleshooting.
* Security: Familiarity with TLS, secrets management, Azure Key Vault, RBAC, IAM, and secure CI/CD practices.
Troubleshooting & Operational Excellence
* Expertise in troubleshooting distributed systems and resolving production incidents across multiple Kubernetes sites.
* Skilled at identifying root causes and implementing preventive measures in CI/CD pipelines, clusters, and infrastructure layers.
* Proficiency in analyzing logs, metrics, and traces using Kibana, Grafana, and Prometheus.
* Lead incident response and problem management, coordinating between Israel and Australian teams to ensure timely resolution.
* Define and maintain runbooks, playbooks, and SLA-based operational workflows.
* Drive system reliability, performance optimization, and disaster recovery readiness across all production sites.
Optional Security & Compliance
* Understanding of DevSecOps practices, vulnerability management, and secure pipeline design.

Requirements:
Basic Qualifications
- Bachelors/Masters in Computer Science, Electrical Engineering or related disciplines
- 10+ years of experience in software development, preferably in C/ C++
- Knowledge of SW and programming languages and concepts (OOP, OOD, Data structures), Knowledge of computer architecture (CPUs, networking, protocols)
- Good understanding of hardware and software interaction
Preferred Qualifications
- Experience in modeling language such as systemC
- Experience with Virtual Platforms tools (Vista, Virtualizer)
- Verification experience is a big advantage (eRM, VMM, UVM)
- Knowledge of ARM architecture.

Requirements:
You have at least 8 years of hands-on experience in OOP software development (preferably Java)
You have Hands-on experience developing applications using Spring/SpringBoot framework and relational & non relational DBs
You have a good systems architectural grasp
You have experience with both unit and integration tests
You have experience in driving large-scale projects end-to-end
You have a strong technical background.
You share deep appreciation for clean and well-documented code
You are self-motivated, proactive and able to multitask
You have excellent English, both oral and written
You are flexible in your working hours, by working with the US on a semi-regular basis
Youre passionate about your work and you have a desire to push boundaries
You demonstrate a great can-do approach, creativity and learning mindset
Bonus points:
Familiarity with Kubernetes or similar containerized frameworks.
​​You are knowledge and experienced with AWS cloud environment and services.

Requirements:
4+ years with experience in performing quantitative analysis
2+ years of experience working in product analytics field
Highly proficient in SQL, Tableau, A/B testing, and preferably at least one scripting language (R/Python)
Ability to tell stories using data, effectively educate, and inspire confidence in recommendations, thereby motivating others to act.
Strong analytical and problem-solving skills: able to develop and use structured approaches to identify root causes and recommend resolutions: can present results in meaningful terms
Experience applying predictive modeling, experimentation, and statistical analysis to drive scalable, data-informed decisions.
Outstanding communications skills with both technical and non-technical colleagues
Ability to manage multiple projects simultaneously to meet objectives and deadlines.

Requirements:
Expertise with unit testing & Test Driven Development (TDD)
Familiar with the development challenges inherent with highly scalable and available web applications
Experience developing, maintaining, and innovating large scale, consumer facing web or mobile applications
Experience with open source technologies (if no practical work experience w/ Big Data, or cutting edge front-end technologyyoure prototyping and/or researching the up and coming technology and solutions
Proficient in building functional AI models using techniques such as prompting and AutoML
Skilled in monitoring the performance of models in production and making necessary adjustments to ensure optimal performance
Possesses an in-depth understanding of AI integration and can lead the integration process effectively, while coaching junior engineers on how to leverage AI
Ability to work collaboratively with cross-functional teams, including data scientists, product managers, and software engineers
BS/MS in computer science or equivalent work experience
7+ years experience developing web, software, or mobile applications
Experience with React, JavaScript, Typescript, HTML, CSS
Experience in the Software design/architecture process, and the entire Software Development Life Cycle (SDLC)
Experience with web services (consuming or creating) with REST or SOAP
Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.

Requirements:
5+ years of product management experience, with at least 3 years specifically managing data products, data platforms, or analytics tools
2+ years of hands-on experience with Intermediate SQL and analytics skills
Understanding of NoSQL methodology, data modeling, and ML models.
Demonstrated expertise in Self-Service tools; a proven ability to increase data literacy and drive tool adoption within an organization
Strong technical fluency in the data domain, including a working understanding of:
Experience in public cloud service providers (AWS, Azure, GCP)
Data warehousing tools (e.g., Snowflake, BigQuery, Redshift)
Big Data Processing Frameworks (e.g. Apache Spark, DataBricks)
ETL/ELT processes and data pipelines (e.g., Airflow, DBT)
Data governance, quality, and security principles.
Understanding of streaming architecture
Fluency in GDPR / CCPA / 7216 restrictions regulations.

Requirements:
8+ years of product management experience, with a proven track record of launching and scaling successful products
Domain expertise in risk management, fraud detection, or a related field is a plus
Coaching and leading high-performing teams is a plus
Proven ability to develop and champion a product vision, strategy, and roadmap for a product area in support of customer needs and company objectives
Experience with Agile development and methodologies
A track record of working closely with customers and partners, listening, and taking a customer-focused approach to strategy and priorities
Undergraduate degree required; a focus in computer science is preferable; an MBA is a plus; equivalent experience will be considered.

Requirements:
Demonstrated ability to deliver impactful analytics and insights in complex, fast-paced environments
Experience in analyzing large datasets, identifying trends, and drawing actionable conclusions
A solid understanding of fraud prevention, and AI-driven risks in the current industry landscape
Comfortable working independently while collaborating effectively across internal teams to drive alignment and solutions
Strong communication skills, with the ability to articulate complex findings to technical and non-technical stakeholders alike
Attention to detail and a strategic mindset, capable of thinking beyond immediate tasks to the broader goals of trust and safety.

Requirements:
Advanced degree (Statistics, Applied Mathematics, Computer Science, or related) or equivalent experience
Expert-level knowledge with modern AI development frameworks, and expertise in all steps spanning the end-to-end Model Development Life Cycle (MDLC)
Deep technical understanding of underlying Data Science concepts, going beyond just model training
Industry expert in ML, NLP, or Optimization
Expert knowledge in a range of statistical and machine learning techniques, including Supervised, Unsupervised, and Generative AI (autoencoders, GANs, VAEs)
5+ years of experience in developing predictive models in a financial services or risk management context is highly valued
Experience with ETL, data warehousing, cloud platforms, and Spark for ML feature creation
Strong communication and presentation skills to present complex insights to non-technical stakeholders
Large corporate experience and know-how, and demonstrable maturity are essential traits.

Requirements:
Advanced degree in Statistics, Applied Mathematics, Computer Science, or a related field (or equivalent experience)
5+ years of experience in developing predictive models and statistical analysis in a financial services or risk management‌
Strong proficiency in programming languages such as Python, R, or Scala, and experience with data manipulation and visualization tools
Expertise in statistical modeling techniques such as GLM, logistic regression, decision trees, time-series forecasting, and machine learning algorithms
Experience in Generative AI techniques, including autoencoders, GANs, VAEs
Practical experience with ETL processes, data warehousing, and cloud-based computing platforms
Excellent communication skills, including the ability to present complex data and insights to non-technical business stakeholders
Strong analytical and problem-solving skills, with a customer-centric approach
Expertise and experience in Supervised and Unsupervised ML techniques
Experience with graph data and insight extraction
Expertise with Spark for data manipulation, and ML feature creation.

Requirements:
Experience: 7+ years of experience designing and developing consumer-facing web applications.
AI & Scale: Experience building AI products serving at high scales. Experience in latest AI technologies for productivity and building agents is a great plus.
Tech Stack: Experience with Java and Python. Hands-on knowledge of web technologies (Redux) in a single page architecture is a must.
Algorithmics: Solid knowledge of algorithms and design patterns.
Education: BS/MS in computer science or equivalent work experience.

Requirements:
Ph.D. or Masters degree in Computer Science, Machine Learning, AI, or a related field.
Proven experience with LLMs, multimodal or foundation models, including pretraining, fine-tuning, and deployment.
Strong proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX, or TensorFlow).
Deep understanding of transformer architectures, reinforcement learning, reasoning models, and agentic systems.
Demonstrated ability to build end-to-end AI pipelines, from experimentation to production.
Excellent problem-solving, collaboration, and communication skills.
A passion for creating AI that augments human potential and simplifies complex business workflows.