לוח משרות דרושים הייטק תוכנה משרה מלאה

Requirements:
8 years of experience in Backend development (At least 2 years experience in developing big systems with Python) - Must
Asynchronous programming and experience in developing performance-critical applications
2 years of experience working with AWS, Docker, and microservices Must
Experience with Machine Learning Advantages
Algorithms development (collaborative filtering, similarity, data normalization, clustering) - Advantages
Excellent analytical and time management skills
Teamwork skills with a problem-solving attitude.

Requirements:
At least 2 years as team leader of R&D team.
At least 3 years of proven experience as a software engineer, 2 out of them hands-on in Python.
Working with a multi-threaded environment and on large-scale systems
Working with AWS, Docker, and microservices Advantages
Teamwork skills with a problem-solving attitude
Strong troubleshooting skills
Ability to solve a complex problem in a timely manner
Soft Skills
Great interpersonal skills
Fast technology adaptation
Independently driven, proactive, accountable, reliable, team player.

Requirements:
6 years of experience in quality assurance.
3 years of experience in automation development.
Strong programming skills, preferably in Python / C# / Go.
Experience with automation frameworks such as Selenium, Cypress, Playwright, or similar tools.
Deep understanding of CI/CD pipelines and the ability to integrate automated tests effectively.
Excellent analytical and problem-solving skills, with a meticulous attention to detail.
A proactive, ownership-driven attitude toward software quality.
Strong communication skills and the ability to collaborate effectively with cross-functional teams.
Experience with cloud platforms (AWS, Azure, GCP).
Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
Background or experience in performance testing and monitoring tools.

Requirements:
At least 2 years as team leader of R&D team.
At least 5 years of proven experience as a software engineer.
Experience as a software tech lead.
Experience developing cloud based applications.
Experience with cloud and big data technologies such as Databricks.
Great interpersonal skills.
Fast technology adaptation.
Independently driven, proactive, accountable, reliable, team player.
Advantages
Familiarity with either On-premise or Cloud storage systems.
Proficiency in Python. PySpark is a plus.

Requirements:
A software professional with a hybrid skillset, combining expertise in software development and testing.
Strong background in software engineering and QA, with a deep understanding of test frameworks, test strategies, CI/CD, agile methodologies, and shift-left processes.
At least 3 years of experience with OO languages, automation frameworks and test cases development (e.g., Selenium, Playwright, PyTest, Python, Java, C# or similar). Strong design, coding, and debugging skills.
Experience with SaaS testing, preferably in large-scale or distributed systems.
Familiarity with cloud platforms, microservices, and containerized environments (e.g., Docker, Kubernetes, AWS, Azure).
Experience integrating automation into CI/CD pipelines using tools like Jenkins, GitHub Actions, or Azure DevOps.
Excellent communication and collaboration skills, with the ability to influence technical and non-technical stakeholders.

Requirements:
-At least 5 years of professional experience in software development
- experience with C# or JAVA
- Bachelors degree from a recognized university.
- Experience in cloud development (advantage).
- Familiarity with Kubernetes (advantage).
- Understanding of microservice architecture (advantage).
- Strong communication skills and ability to collaborate effectively within a team.

Requirements:
5+ years of hands-on experience in software development, with strong proficiency in C# or Java
Proficiency in Python, SQL, PySpark (advantage).
Understanding of microservice architecture (advantage).
Familiarity with Kubernetes (advantage).
Experience with cloud and technologies such as Databricks (Apache Spark) (advantage).
Strong analytical mindset, excellent problem-solving skills, and a drive to turn complexity into clarity.
Excellent communication and collaboration skills, with the ability to work independently and adapt quickly in a dynamic environment.
Demonstrated ability to lead and deliver end-to-end data solutions, integrating across teams and driving execution to completion.

Requirements:
Cloud Platforms: 5+ years of hands-on experience with Azure, AWS, or GCP for SaaS platforms in large scale production environments.
Programming & Scripting: Strong coding skills in Python, Go, PowerShell, Bash or similar.
Operating Systems: 3+ years of hands-on experience administering Windows or Linux environments, configuration, troubleshooting, and deployment
Infrastructure as Code: Deep, hands-on experience with Terraform, Pulumi, Packer, and Ansible for declarative infrastructure and configuration management.
CI/CD & GitOps: Proficiency with CI/CD tools (Azure DevOps, Jenkins, GitHub Actions) and GitOps workflows using ArgoCD or Flux.
Containerization & Orchestration: Strong background in Kubernetes (AKS, EKS, GKE), Docker, containerd, Helm, and Prometheus.
Networking & Security: Solid understanding of core infrastructure protocols and components including DNS, TCP/IP, Load Balancing, PKI, Firewalls, and Routing.
DevSecOps Awareness: Familiarity with integrating security into CI/CD pipelines and infrastructure automation.
Collaboration & Communication: Excellent interpersonal skills with the ability to lead cross-functional projects and communicate effectively in English.
Advantages
Azure Ecosystem: Familiarity with a wide range of Azure services, including:
Virtual Machine Scale Sets, Microsoft Entra ID, Event Hubs, Service Bus, App Service, Azure SQL, Azure OpenAI, KQL, Azure Functions, Azure Batch, and more.
Monitoring & Incident Management: Experience with tools like Grafana, Azure Monitor, PagerDuty, OpsGenie, Datadog, or New Relic.
Programming Skills: Development experience in C#/.NET.
Education: Bachelors degree in computer science, Information Systems, or a related technical field.

Requirements:
At least 5 years of hands-on experience with frontend development
At least 3 years of proven experience with React
Proven experience with state-management library (redux/recoil/zustand/jotai etc.)
Experience with Rspack / Webpack / Vite
Deep understanding of CSS & experience with sass/less
Experience with Typescript or Flow
Excellent analytical and time management skills
Teamwork skills with a problem-solving attitude
Bonus
Experience in working with GraphQL and Apollo - Advantage
Experience in other JS frameworks such as Angular / Vue / SolidJS etc.. -Advantage
Experience in NodeJS - Advantage.

Requirements:
At least 5 years experience as a Software Engineer in Go
Experience working with Kubernetes
Experience working with AWS / Azure / GCP
Experience working on low-latency, high throughput data processing initiatives
Experience in large-scale distributed systems
Demonstrated engineering and architectural understanding of projects ranging in scope and focus
In depth understanding of System design and OS concepts
Knowledge in Computer Networking
Experience in Microservices development- Advantage
Prior experience in the cybersecurity industry- Advantage.

Requirements:
5 years of experience in building complex backend systems.
Experience in Python / C# / JAVA / .NET is a significant advantage.
Expertise in microservice architecture
Proficiency in working with various backend technologies such as databases, caches, k8s, containers, Kafka and cloud environments.
Excellent problem-solving skills and ability to work well in a team.
Experience in the cybersecurity space is an advantage.

Requirements:
5 years of experience in building cross platform software running on Windows/macOS/Linux or experience building low level applications for one of them.
Thorough understanding of OS internals and how to interact with the OS
Excellent problem-solving skills and ability to work well in a team.
Experience in C/C++/Rust - Rust is a major advantage
Experience in the cybersecurity space is an advantage.

Requirements:
At least 3 years of experience in infrastructure development.
Experience working in Cloud environments (concepts, methodologies, CI/CD), preferably in large-scale or distributed systems.
Experience leading automation projects from scratch (design, integration with external interfaces, testing, and implementation).
Strong in Object-Oriented Programming, MVC, Design patterns, and SOLID principles.
Familiarity with relational and non-relational databases and SQL.
Experience with web services development (SOAP, REST).
Excellent communication and collaboration skills, with the ability to influence technical and non-technical stakeholders.
Bachelor's degree in computer science, Software Engineering, or related field.
Familiarity with container technology (Docker & AKS) an advantage.
Experience with API design, development, and integration patterns an advantage.

Requirements:
At least 3 years as Team Leader of R&D
At least 6 years of proven experience as a Software Engineer (C# preferred)
Working with a multi-threaded environment and on large-scale systems
Working with AWS, Docker, and microservices Advantages
Teamwork skills with a problem-solving attitude
Strong troubleshooting skills
Ability to solve a complex problem in a timely manner
Great interpersonal skills
Fast technology adaptation
Independently driven, proactive, accountable, reliable, team player
Lead team with QAs and Automations developers - advantage.

Requirements:
Proven experience (8+ years) in test automation, with at least 3 years in a leadership or managerial role.
Strong background in software engineering and QA, with a deep understanding of test frameworks, test strategies, CI/CD, agile methodologies, and shift-left processes.
At least 5 years of experience with OO languages and automation frameworks and tools (e.g., Selenium, Playwright, PyTest, Python, Java, C# or similar). Strong design, coding, and debugging skills.
Experience with SaaS testing, preferably in large-scale or distributed systems.
Familiarity with cloud platforms, microservices, and containerized environments (e.g., Docker, Kubernetes, AWS, Azure).