לוח משרות דרושים מהנדס תוכנה משרה מלאה

Requirements:
What we're looking for:
5+ years of experience in software engineering, applying modern design patterns and best practices.
Proven hands-on experience with Generative AI technologies.
Solid experience working with cloud platforms (e.g., AWS, GCP, Azure).
Deep understanding of production environments, including testing methodologies, monitoring, and deployment processes.
Strong debugging skills: ability to identify, diagnose, and resolve issues while improving code readability and system reliability.
Proficient in Python and SQL.
Familiarity with software development best practices, Git, CI/CD, and modern DevOps principles.
Bachelors degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
You write clean, maintainable, and well-documented code.
A proactive team player with strong organizational skills and a get things done attitude.

Bonus points for:
Experience with machine learning frameworks such as TensorFlow, PyTorch, and libraries like scikit-learn, pandas, and NumPy.
Experience working on video generation, creative iteration, or automated content recommendation.
Masters or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Requirements:
6+ years of hands-on experience in DevOps roles.
Experience with the full application release cycle and best practices.
Manage and develop CI/CD process tools.
Strong understanding of infrastructure & operations, including storage, networking, computing, and cloud security (Azure preferred).
Solid knowledge of Infrastructure as Code (IaC) tools such as Terraform.
Proficiency in Linux scripting and other programming languages.
Strong Python development skills beyond scripting.
Hands-on experience with Kubernetes and containerized environments.
Proven ability to work in a production environment, handling live system challenges such as performance, scalability, and security.
Strong debugging skills with the ability to identify and resolve complex technical issues.
Excellent self-management skills, with the ability to work independently in a dynamic environment.
Advantage:
Previous experience as a Tech Lead.
Experience with GitHub Actions & Jenkins.
Experience with Terragrunt as an Infrastructure as Code tool.
Experience with Service Mesh solutions.
Experience with Backstage for developer portal.

Requirements:
5 + years of professional experience as a backend developer.
Strong hands-on experience with C# / .NET Core.
Deep understanding of OOP, software design principles, and distributed system architecture.
Proven ability to build fast, reliable, and maintainable backend systems.
Experience with RabbitMQ, Redis, and SQL Server or similar technologies.
Strong ownership mindset, attention to detail, and commitment to code quality.
It will be an advantage if yo:
Experience running services on AKS (Azure Kubernetes Service) or similar container-based infrastructure.
Familiarity with microservices, CI/CD workflows, and distributed systems.
Experience in trading, fintech, or other high-availability, real-time environments.
Gained practical experience in integrating AI capabilities into backend systems.
Building or contributing to autonomous agents, AI-based workflows, or LLM-powered services.

Requirements:
Windows Desktop applications development: Proven hands‑on experience developing and maintaining Windows Desktop applications. Strong experience with: C# / .NET / .NET Framework, C++, WPF, WinForms, WCF. Experience supporting legacy Windows applications.
Operating Systems: Solid understanding of Windows operating system concepts and APIs.
Version Control: Experience with Git and SVN.
Code Quality & Testing: Familiarity with code testing methods, static analysis tools, and coding standards.
Embedded and Firmware Development Familiarity - Huge Advantage!
Cloud applications: Experience with AWS (preferred) or other cloud platforms. Understanding of SaaS architectures and applications. Experience with AWS services (i.e: EC2, S3, IAM, RDS, etc). Cloud application development - advantage.
Web Backend Development: Experience with C# / .NET Core, RESTful Web API development, Microservices architecture - advantage.
Databases: SQL & NoSQL databases - advantage.
Web Frontend Development: Experience with modern frontend technologies and frameworks: React, JavaScript, HTML, CSS - advantage.

Requirements:
4+ years in DevOps position with strong Linux systems administration experience
Experience with Container technology, familiar with tools such as Kubernetes, Helm, Docker Compose
Experience with infrastructure-as-code tools (e.g. Terraform, CloudFormation)
Experience with CI/CD tools (e.g GitHub Actions, Jenkins)
Experience running and maintaining production systems over AWS stack
Experience with scripting & coding (Bash, Python, Go, Groovy, etc)
Experience with Monitoring and log analytics tools (Prometheus, Grafana, ELK, etc.)
Strong communications skills, working side by side with the development, noc, support and QA teams
FinOps experience- advantage
Team player, takes ownership and knows how to prioritize and remain efficient while multi-tasking

Requirements:
Bachelors degree in computer science
10 years of SW development experience.
3 years of experience as hands-on SW Team Lead
Good knowledge of and working experience with .Net Core, .NET, ASP.NET MVC
Strong proficiency with JavaScript, TypeScript and web technologies
Good knowledge of and working experience with at least one of the modern web frameworks/libraries (Angular, React, or Vue.js)
Experience with Agile methodology
Able to manage expert technical experienced engineers
Able to construct software planning of complex activities
Able to lead, motivate and monitor others
Able to work independently and efficiently to meet deadlines
Self-motivated, detail-oriented and organized
Good communication (oral and written), interpersonal, organizational
Fluent in English

Requirements:
Bachelors degree in computer science, Software Engineering, or equivalent
3+ years of embedded SW developers experience
Python Development skills are a must
Working in Medical companies - Advantage
Working in SW companies with large scale - Advantage
Good communication skills
Fluent English

Requirements:
* Minimum 5+ years of software development experience, with a proven track record of technical leadership
* Demonstrated ability to architect complex software systems
* Deep knowledge of Microsoft technologies (.NET, C#, Web Services), and strong familiarity with frontend frameworks (e.g., Angular)
* Experience with Cloud computing and distributed environments (e.g., AWS/Azure) – Major advantage.
* Experience with video recording, streaming, or related media technologies- strong advantage.
* Excellent communication skills and a collaborative, team-player mindset

Requirements:
Requirements
* At least 3 years of software development experience, including 2+ years of hands-on C/C++ programming.
* Strong understanding of operating system internals (memory management, processes, system calls).
* Genuine curiosity and passion for understanding how systems work at a fundamental level; self-driven learner who is eager to explore new technologies independently.
* Great team player who knows how to push independently when needed. Advantages
* Experience with Android or iOS internals.
* Experience with reverse engineering tools such as IDA, Ghidra, or similar.
* Familiarity with assembly and the ARM instruction set.
* Experience with NDK/JNI (Android) or low-level iOS development.
* Knowledge of cybersecurity concepts and techniques. About the company Appdome's mission is to protect every mobile app in the world and its users. We provide mobile brands with the only patented, centralized, data-driven Mobile Cyber Defense Automation platform. Our platform delivers rapid, no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration-as-code ease, Threat-Events™ threat-aware UI/UX controls, ThreatScope™ Mobile XDR, and Certified Secure™ DevSecOps Certification in one integrated system. With Appdome, mobile developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, test, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and businesses globally. Today, Appdome's customers use our platform to secure over 50,000+ mobile apps, with protection for over 2 billion mobile end users projected. Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.

Requirements:
● Proven software development experience, with hands-on familiarity with modern IDEs, developer tools, and workflows.
● Deep interest in AI and its applications in software engineering - including copilots, AI-assisted programming, and code generation.
● Demonstrated ability to take initiative, experiment, and lead change across teams.
● Strong communication and collaboration skills - comfortable influencing engineers and managers alike.
● Ability to think strategically and translate AI potential into practical engineering wins.
● Experience in R&D organizations or platform/DevEx roles - advantage.
● Prior experience with AI tooling, prompt engineering, or LLM-based integrations - advantage.

Requirements:
● At least 3 years of managerial experience leading development teams up to production web applications, including monitoring and maintenance
● BSc in Computer Science or equivalent
● 7+ years of backend engineering experience, including 5+ years working with Python in production environments.
● Expertise in designing and building scalable systems with Cloud Architecture in a SaaS company
● Strong experience with async programming, REST APIs, microservices, and testing.
● Experience leading teams working on high-availability, distributed systems.
● Demonstrated ability to make architectural decisions and evaluate technical trade-offs.
● Understanding of CI/CD pipelines and IaC tools (Terraform, Helm)
● Knowledge of Celery orchestration, event-driven architectures, or streaming frameworks (RabbitMQ).
● Capable of leading technical aspects, complex projects, and a distributed, cross-functional (front-end and back-end) R&D team.
● Exceptional communication skills and high proficiency in English.
Advantages:
● Experience working with Python frameworks like Django and FastAPI
● Experience with RabbitMQ
● Experience with Celery
● Experience with Redis

Requirements:
Native-level Ukrainian or Russian
BSc in Computer Science or equivalent
8+ years of software engineering experience, including 5+ years of Python in production
3+ years in an R&D team lead, leading cross-functional teams (backend, frontend, and QA) in a production environment
Proven experience managing and leading remote teams in a fully distributed, remote-only environment
Proven experience working in a product-based company (not project/outsource)
Strong experience with Python backend development in a SaaS environment, including cloud-based, scalable, and high-availability distributed systems
Strong knowledge of REST APIs, microservices, asynchronous programming, and testing
Hands-on experience with CI/CD pipelines and Infrastructure-as-Code (e.g., Terraform, Helm)
Solid understanding of software architecture, design patterns, and technical trade-offs
Proven ability to lead projects end-to-end, from requirements and design through development and production
Excellent communication skills and high proficiency in English
Technical Experience:
Python frameworks: Django, FastAPI
Databases: PostgreSQL, MSSQL
Messaging & async processing: Celery, RabbitMQ
Caching & performance: Redis
Cloud platforms and services (Azure - advantage)
Familiarity with event-driven architectures and distributed systems
Strong grasp of KISS, DRY, SOLID, OOP principles
Advantages:
Experience with Azure cloud services
Experience with Excel Add-ins or data-heavy applications
Startup or high-growth SaaS company experience

Requirements:
6+ years software engineering experience; 4+ years building AI/ML systems.
Prior experience as a technical lead or engineering manager.
Deep understanding of agentic architectures and tool-based AI systems.
Hands-on experience with MCP and agent tool integration.
Experience with LangChain, LangGraph, or equivalent frameworks.
Strong background in LLM evals, observability, and production AI quality.
Solid experience with RAG pipelines, vector databases, and retrieval systems.
Strong Python background and system design experience.

Requirements:
5+ years of experience in software engineering or ml engineering with significant focus on ML systems or backend infrastructure
Strong proficiency in Python and deep learning frameworks (PyTorch)
Hands-on experience with LLM inference engines (vLLM, TensorRT-LLM, Triton Inference Server)
Deep understanding of transformer architectures and LLM-specific optimizations (attention mechanisms, KV-cache, quantization techniques like GPTQ, AWQ, GGUF)
Experience with distributed training/fine-tuning frameworks (Ray, DeepSpeed, FSDP)
Ability to build developer-facing tools and platforms with clear APIs and documentation
Understanding of GPU performance profiling and optimization
Familiarity with LLM evaluation methodologies and benchmarking

Requirements:
6+ years software engineering experience with 4+ years applied ML.
Prior experience as a technical lead or engineering manager.
Deep understanding of ML training, evaluation, and deployment lifecycles.
Strong experience with ML frameworks and large-scale data pipelines.
Proven ownership of ML evals, monitoring, and drift detection in production.
Experience with distributed training and performance optimization.
Strong experience with feature stores, model registries, and experiment tracking.
Experience deploying and operating ML systems on Kubernetes or similar platforms.
Strong Python background and system architecture expertise.
Experience managing cross-functional ML initiatives and stakeholders.