דרושים | עבודה | חיפוש משרות תוכנה

Requirements:
BSc in computer science or an equivalent from a known university or college in Israel or an exceptional track record in server-side development
3+ years experience in software engineering
High-level knowledge of C/C++, C#, Java, Go, Python
Experience building scalable and high-available distributed services
A history of excellence in achievement
Experience developing services hosted on AWS, Azure, GCP- advantage
Ability to multitask, organize, and prioritize work.

Requirements:
At least 3 years of experience in backend/ server side development.
Strong proficiency in a backend language such as Go, C/C++ or similar.
Previous knowledge and experience with AI tools or integrating AI-driven solutions into products- an advantage
Solid understanding of TCP/IP protocols and Unix internals.
Team player, strong communication skills, and empathetic.
Degree in Computer Science (not a must; we're always looking for super talented people).
Ideally:
Cybersecurity domain knowledge
Experience developing network/packet sniffing applications
Understanding of LLMs and agentic work flows
Hands-on experience integrating LLMs or ML models into production systems.

Requirements:
At least 8 years of system/backend programming experience (Go/C/C++ or similar)
At least 2 years at a high-level technical position (Architect, Tech lead)
Experience with On-Prem and Cloud deployments and architectures
Being a tech-savvy and knowledgeable of cutting-edge technologies
Knowledge in all aspects of software development: Low-level, Backend, Frontend, Automation testing and Devops.
Experience with data-intensive systems
In-depth knowledge of TCP/IP protocols and Unix internals
Previous knowledge and experience with AI tools or integrating AI-driven solutions into products- an advantage
Strong understanding of network application architecture and data Structures
Academic-level understanding of algorithms and data structures
And Ideally:
Knowledge of Cyber Security trends and events. Ideally OT/ICS or adjacent (asset discovery, DPI, threat modeling).
Experience developing packet sniffing applications or similar network Applications.
Understanding of LLMs and agentic work flows
Hands-on experience integrating LLMs or ML models into production systems.

Requirements:
* BS. C in Computer Science / Computer Engineering.
* At least 3 years of development experience in a development team of complex enterprise systems.
* At least 2 years of experience in C / C ++ programming.
* Experience in multi-threading principles and programming.
* Experience in Python and Git.
* Great team player who knows when and how to push independently when needed.
* Strong communication skills.
Advantages:
* Experience in native mobile application development in Android or IOS.
* Experience Objective- C programming
* Experience in NDK and JNI for Android.
* Experience in reverse engineering in Android.
* Knowledge in Cyber security and Networking.
Talent We Are Looking For:
Independent & Self-Driven - Comfortable owning a domain with high-impact decisions. Analytical - Passionate about accuracy, performance, and outsmarting adversaries. Curious - Self-driven learner eager to explore new fraud vectors and defense techniques independently. Adaptable - Thrives where the challenges are constantly changing. About the company 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 us, 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 us to upgrade mobile DevSecOps and protect Android & IOS apps, mobile customers, and businesses globally. Today,  customers use our platform to secure over 50,000+ mobile apps, with protection for over 3 billion mobile end users projected. We are 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:
BSc, MSc, or PhD in Computer Science, Software Engineering, or a related field
Strong software engineering skills with experience designing maintainable, modular systems
Hands-on experience working with ML models and evaluation pipelines
Proficiency in Python and modern ML ecosystems
Ability to read, modify, and debug deep learning models
Experience with benchmarks, metrics, or evaluation frameworks - preferred
Familiarity with foundation models or multimodal learning - preferred
Comfort navigating complex datasets and doing targeted exploratory analysis
Experience in biomedical or other data-intensive domains - a plus

Requirements:
7+ years of experience in product management roles, with extensive experience delivering a successful product.
Extensive experience in building, scaling, and managing AI model products, with a strong track record of collaborating closely with data scientists and deep learning researchers - a must.
Experience leading an AI foundation model product - a big plus.
Exceptional ability to operate effectively at both the high level strategic and roadmap level, as well as at the detailed, hands on level in a highly technical space.
BSc or higher degree in a technical or scientific discipline.
Exceptional written and verbal communication skills to technical and non-technical audiences.
Any experience or expertise in life sciences is a plus.

Requirements:
Strong data science/computational/statistics background - deep understanding of and experience working with complex data
Strong ML/AI background with experience translating AI research into production and building robust systems
2+ years of successful technical leadership and management experience
Experience with LLM APIs (e.g., OpenAI, Anthropic) and agentic AI frameworks (e.g., LangGraph, LangChain, MCP) - preferred

Requirements:
Strong foundation in data science / ML and comfortable writing production-quality code.
Proven experience delivering ML/AI projects from research to production independently.
Pragmatic problem solver with solid engineering practices (testing, code reviews, reproducibility).
Eager to learn, conduct research, and stay at the cutting edge of GenAI.
Excellent communicator and collaborator.
Nice to have:
Experience in finance or numerical systems, or familiarity with LLM/GenAI workflows.
Advanced degree, publications, or open-source contributions.

Requirements:
7+ years of experience in software development with a strong background in Python.
3+ years in a leadership or management role, mentoring engineers and driving team success.
Hands-on experience with Celery and distributed systems.
Familiarity with Temporal (advantage) or other workflow orchestrators.
Proven experience building and maintaining data pipelines and ETL processes.
Solid understanding of data platforms and database technologies, including analytical databases, column-based storage/indexing, and how they differ from traditional relational databases (OLTP).
Strong understanding of FastAPI, Django, and data access patterns.
Experience designing scalable systems and working on refactoring monolithic architectures.
Working knowledge of Kubernetes and CI/CD pipelines - not necessarily deep expertise, but enough to collaborate effectively with DevOps.
Excellent communication, leadership, and problem-solving skills.

Requirements:
4-7 years of experience in applied data science
Ability to work from our Jerusalem office (located in the Central Bus Station next to the train) 2 times a week (Monday & Wednesday) is required
Strong Python skills (pandas, scikit-learn, statistical libraries)
Experience deploying models to production (not just notebooks)
Solid statistics and machine learning fundamentals
SQL and database experience
Experience in building APIs or backend services
Bachelor's or Master's in a quantitative field (Statistics, CS, Math, Machine Learning/Data Science)
Strong English communication skills with technical and non-technical audiences
Self-starter comfortable with ambiguity and autonomy

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:
Proven experience as a successful, independent software engineer (3+ years)
Ability to work from our Jerusalem office (located in the Central Bus Station next to the train) 2 times a week (Monday & Wednesday) is required
Hands-on experience with core backend and platform concepts, including relational and non-relational databases, message queues, streaming systems, scalability, and rate limiting.
A strong backend mindset with an understanding of production-grade systems and how they evolve at scale.
Strong understanding of relational databases
English fluency (spoken and written)
Builder mentality: this is a hands-on position which primarily involves writing code and deploying it to production.

דרישות:
מפתח/ת ETL מנוסה? אנחנו מגייסים! פיתוח של תהליכי ETL באמצעות כלים Informatica OnPrem/Cloud. התפקיד כולל עבודה צמודה עם צוותי BI, אנליזה ומערכות מידע, תוך תכנון של תהליכים, תחקור תקלות והובלה של פתרונות טכנולוגיים. תחומי אחריות / תכולת התפקיד פיתוח תהליכי ETL בסביבת Informatica בהתאם לדרישות עסקיות וטכנולוגיות. עבודה מול מסדי נתונים מגוונים, כולל שליפות וכתיבת SQL מורכבים. תכנון תהליכי פיתוח חדשים, תחקור תקלות ,שיפור ביצועים וייעול תהליכים קיימים. עבודה שוטפת עם ממשקים מגוונים בארגון – כולל אנליסטים, אנשי תשתיות ומנהלי פרויקטים. המשרה מיועדת לנשים ולגברים כאחד.

Requirements:
Requirements:

BS degree in Computer Science or Software Engineering.

At least 5 years of backend development experience.

Strong experience with databases: 3+ years.

Proven track record of designing and deploying production cloud-based applications.

Deep understanding of cloud architecture patterns and microservices design.

Experience with containerization and orchestration platforms (Docker, Kubernetes).

Familiarity with cloud security principles and implementation.


Big Plus:

Experience with multiple cloud providers (Azure, AWS, GCP).

Production experience managing Kubernetes clusters.

Strong networking knowledge (VPC, load balancing, DNS).

Expertise in distributed systems and event-driven architectures.

Experience leading technical initiatives or small teams.

CI/CD pipeline design and DevOps practices.

Extremely high self-learning ability and innovative problem-solving approach.

Independent decision-making in ambiguous and fast-paced environments.

Requirements:
Excellent communication and collaboration skills
English at a high level, written and spoken required
Ability to work from our Jerusalem office (located in the Central Bus Station next to the train) 2 times a week (Monday & Wednesday) is required
Strong attention to detail, ownership mentality, and ability to work independently
Quick learner who can dive into new codebases, technologies, and systems independently
Hands-on mentality - not afraid to roll up your sleeves, dig into unfamiliar code, and work across the stack (including backend when needed)
4+ years of experience as a Data Engineer
Strong problem-solving skills for complex data challenges at scale - ability to debug performance issues, data inconsistencies, and system bottlenecks in high-volume environments
Experience with data modeling and schema design for analytical workloads
Strong proficiency in SQL and experience with complex analytical queries
Hands-on experience building and maintaining data pipelines (ETL/ELT)
Ability to troubleshoot and optimize systems handling large data volumes (millions+ rows, complex queries, high throughput)
Knowledge of query optimization techniques and execution planning
Familiarity with columnar databases (ClickHouse, BigQuery, Redshift, Snowflake, or similar). Columnar DB experience is a big plus.

Requirements:
4+ years of hands-on experience building production-grade applications with React and expert-level TypeScript mastery.
Ability to work from our Jerusalem office (located in the Central Bus Station next to the train) 2 times a week (Monday & Wednesday) is required
Deep expertise in React architecture, component composition, and modern frontend patterns.
Advanced knowledge of CSS, including scalable styling systems and complex theming.
Solid understanding of frontend architecture and performance-driven coding mindset and capabilities.
English fluency (spoken and written)
Ownership mindset with strong problem-solving skills and effective cross-team collaboration.

Requirements:
3+ years with React, Angular, or similar front-end frameworks - Must
3+ years with Node.js, Python, or Java - Must
3+ years with TypeScript - Must
3+ years with SQL database technologies - Must
Experience with NoSQL databases such as MongoDB, Firestore, or ElasticSearch - Must
Experience with microservice architecture - Must
Experience working in a cloud environment - Must (GCP is a big advantage)
Prior experience at an early-stage startup - Advantage
Experience with analytics column-based databases like BigQuery or ClickHouse - Big advantage

Requirements:
Bachelors or Masters degree in Analytics, Statistics, Mathematics, Data Science, Computer Science, or a related field - Preferred
5+ years of experience in data analytics or data engineering leadership roles, preferably in a SaaS or technology-driven environment.
Experience building data infrastructure, standards, and best practices from the ground up.
Previous experience leading projects and mentoring or managing team members - a must.
High attention to detail and commitment to data accuracy and quality.
Proactive, collaborative, and comfortable operating in a fast-growing startup environment.
Technical Skills
Strong proficiency in SQL and Python for data manipulation and analysis.
Hands-on experience with ETL tools and frameworks (e.g., Apache Airflow, dbt or similar).
Solid understanding of data warehousing concepts and platforms (e.g., Snowflake, Redshift, BigQuery).
Experience with data visualization tools such as Tableau, Power BI, or Looker.
Familiarity with marketing and product analytics tools: user acquisition ad managers APIs, Salesforce and HubSpot data and integrations.
Strong understanding of SaaS metrics including ARR, churn, LTV, CAC, and cohort analysis.

Requirements:
3+ years of experience as a hands-on software engineer in production environments.
Ability to work from our Jerusalem office (located in the Central Bus Station next to the train) 2 times a week (Monday & Wednesday) is required
Strong experience with React and TypeScript, with the ability to work comfortably across frontend and backend.
Solid understanding of backend development, including API design, database interactions, and production-grade systems.
Experience working with relational databases and a good grasp of data modeling concepts.
Strong communication skills and high-level spoken and written English.
A proactive, builder mindset comfortable learning new technologies, taking ownership, and stepping outside your comfort zone when needed.
Ability to work calmly and collaboratively in a fast-moving environment with changing requirements.

Requirements:
- At least first degree in Computer Science or Electrical Engineering.

- At least 5 years of working as a Software Architect.

- Highly analytical mindset, with an ability to see both the big picture and the details.

- Experience in system/software architecture design.

- Strong communication and teamwork.

- Strong analytical skills and self-learning.

- Strong English oral and written communication skills, presenting skills.

- Complex system comprehension.

- Knowledge and hands-on experience in SaaS environment (Azure, AWS, ...).

- Knowledge of SIP protocol stack - advantage.

- Knowledge in contact center - advantage.

- Vast knowledge and hands on using AI tools (for MVP, fast prototyping, etc).