דרושים » תוכנה » Senior Software Engineer

Requirements:
B.Sc. in Computer Science from a University (with a high GPA)
5+ years of development experience in a high-level object-oriented language (preference for Python and C++)
Experience building complex, high-scale, high-performance software
Natural curiosity, quick learner and great interpersonal skills
Passion for tech leadership and sharing knowledge

Requirements:
Is graduate BSc\MSc\PhD in Computer Science (or equivalent) with a high GPA (Over 86).
Familiar with one or more of the following technologies: C++, Python, Rust, Node.js, and React.js.
Is curious by nature and a quick learner.
Advanced degree with high GPA in CS/Math/equivalent.
3+ years of experience in development in a high-level object-oriented language
Experienced with advanced OOP, design patterns, performance optimizations, and algorithm development.
Experienced with CI/CD and TDD methodologies.
Experienced with the Linux operating system, its internals, and its ecosystem.
Interaction with NoSQL databases at scale.
Implementation of services in a microservice architecture.
Interaction with tools such as Docker, Kafka, Flask, or similar.
Cryptographic primitives and protocols.

Requirements:
Has at least 3 years of experience leading security teams, defining technical direction, and driving security strategies.
Has at least 5 years of hands-on experience in security research.
Has strong knowledge of security vulnerabilities, exploit development, attack techniques, and mitigation strategies.
Experience in programming languages (Python, Rust, C++, or similar)
Proactive mindset with strong problem-solving and investigative skills.

Requirements:
5+ years of proven experience in software development
Experience in designing, developing, and debugging complex, distributed systems.
Proven hands-on experience in Kubernetes, containerized environments and microservices.
Hands-on experience with cloud services, observability tools, and automation.
Experienced with at least one of the main cloud provider platforms (e.g. AWS, GCP)
Ability to lead discussions, mentor engineers, and drive technical decisions.
A collaborative mindset - we value engineers who can communicate effectively across teams.
Programming in Go or Java - advantage.

Requirements:
Strong Programming & System Design:
7+ years of professional software development experience, with a significant focus on backend systems, infrastructure, or platform engineering.
Deep proficiency in at least one of Java, Kotlin, or TypeScript, with a solid understanding of object-oriented design, functional programming paradigms, and distributed system architectures.
A strong commitment to writing clean, maintainable, performant, and thoroughly tested code.
Familiarity with frontend concepts or frameworks (e.g., Angular, React) is a plus.
Cloud-Native & Distributed Systems Experience:
Strong understanding of microservices architecture, API design, and asynchronous communication patterns.
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and infrastructure-as-code principles.
Experience with containerization and orchestration (e.g., Kubernetes, Docker Swarm) is highly desirable, or a strong willingness to learn and master it.
AI Infrastructure & Agent Understanding:
Experience or strong understanding of AI workflows, intelligent agents, or related frameworks/platforms (e.g., LangChain, RAG, machine learning serving).
Familiarity with concepts like Multi-Agent Communication Protocols (MCPs) is a plus.
A keen interest and strong willingness to learn and contribute to AI infrastructure and agent development are essential.
Problem-Solving & Innovation:
Exceptional problem-solving abilities, capable of tackling complex, ambiguous infrastructure challenges and finding innovative, scalable solutions.
Curiosity and a proactive approach to learning new technologies and applying them to solve real-world problems.
Communication & Collaboration:
Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences.
A highly collaborative mindset, eager to share knowledge and contribute positively to team dynamics.

Requirements:
5+ years of software development experience
Proven deep knowledge of Java and/or GO or other managed languages
Deep understanding of relational databases, concurrent programming, and performance tuning
Experience with microservices architecture
Familiarity with cloud infrastructure, Docker, Kubernetes & CI/CD
A disciplined approach to testing and quality assurance
Vast experience with large-scale production environments
Experience in investigating and resolving production issues
Ability to work independently and collaboratively in a fast-paced environment
Excellent problem-solving skills with keen attention to detail.

Requirements:
Good programming abilities. Testing your code is second nature to you. You are mindful of your applications architecture, performance, maintainability, and overall quality.
Good communication skills and ability to work collaboratively within a team. You are an active listener and a dialogue facilitator, you know how to explain your decision and like sharing your knowledge.
Multiple shipped projects in Software Engineering.
Production knowledge and practices (Release, Observability, Troubleshooting, ...), thanks to multiple shipped projects / applications.
Strong problem-solving skills.

Requirements:
7+ years of senior development experience, with at least 5 years as an SVP Engineering from the Ad-Tech industry
Proficiency in programming languages such as Python, Java, Scala, and SQL, along with experience in working with large-scale databases and data manipulation.
Proven experience managing multiple development teams
Deep understanding of technology architecture, cloud infrastructure, databases, security, and DevOps.
Strong decision-making skills and the ability to drive product architecture
Ability to lead and optimize development processes
Expertise in introducing and evolving statistical modeling, machine learning, data mining, and predictive analytics.
Experience working in fast-paced environments with tight deadlines
Industry Trends and Best Practices: Stay up-to-date with the latest advancements in marketing analytics, data science methodologies, AI and data software solutions. Identify opportunities for innovation and continuous improvement within the marketing data science function and build out next-gen capabilities.
Work collaboratively with product, operations, business leads, compliance, and finance.


Additional Skills:

Strong leadership skills, with a tech vision and strategic thinking, experience having built and managed growing and evolving teams
Excellent interpersonal communication skills and the ability to work across various departments.
Flexibility and creative problem-solving abilities.

Requirements:
Practical / BA / BSc (or equivalent experience) in Computer Science or Electrical Engineer
3 + years Python Development experience must.
3+ years Experience in HW RF, drivers development or usage of HW test equipment must.
System orientation must .
Knowledge of networking: Ethernet, TCP/IP- advantage.
Experience in technical documents writing. advantage.
Independent, responsible worker, able to plan and execute , team worker
Good organization, communication, and interpersonal skills.