דרושים » תוכנה » Senior Software Engineer

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 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:
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:
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:
Qualifications:

BSc or equivalent or higher degree in Computer Science, Computer Engineering, or Electrical Engineering.

5+ years of experience in software development with a strong focus on algorithm development.

Strong proficiency in Python and C++.

Knowledge of advanced algorithms and data structures for data analytics and hardware acceleration.

Familiarity with software optimization techniques for performance-critical code.

Familiarity with computer architecture and low-level programming.

Excellent communication skills and ability to explain complex technical concepts to non-technical stakeholders.

Advantages:

Background in research.

Experience with hardware acceleration systems.

Experience with database systems and SQL.

Requirements:
Qualifications:

BSc or equivalent or higher degree in Computer Science, Computer Engineering, or Electrical Engineering.

5+ years of experience in software development with a strong focus on data engineering.

Strong proficiency in Python and Scala.

Experience with Apache Spark / other big data frameworks.

Excellent communication skills and ability to explain complex technical concepts to non-technical stakeholders.

Advantages:

Background in research.

Experience with database systems and SQL.