דרושים » תוכנה » Software/ system architect Dispatch Platform

Requirements:
Bachelors degree in computer science, software engineering, or a related field. A Masters degree is an advantage
At least 5 years of experience in object-oriented programming (OOD and OOP)
At least 4-5 years of experience as a solution/software/system architect
Experience with cloud-based software deployment and management is essential. Azure is an advantage
Familiar with PowerBI, Kubernetes, React, Node.js, Java, and Redis
Knowledgeable in databases such as PostgreSQL, Cosmos, and Oracle
Experience with AI is a distinct advantage
Strong abilities to analyze distributed large systems
Experience in web client stacks and SPA patterns
Skilled in UML and software/system design patterns
Deep understanding of microservices principles and backend architecture
Strong knowledge of software engineering principles, including SOLID, DDD, BDD, TDD, and integration patterns
Excellent communication and presentation skills in English
Proven ability to lead and facilitate innovative solutions
Ability to articulate complex concepts in a clear and accessible manner
Team player with the ability to work effectively both independently and collaboratively
Creative, innovative, and problem-solving mindset

Requirements:
B.Sc. in Computer Science or related field.
5+ years in a senior/principal architect role.
Deep hands-on experience in system architecture and distributed design.
Strong background in cloud platforms (AWS required, GCP/Azure a plus).
Knowledge in networking protocols and cloud network architecture is an advantage.
Proven ability to design scalable microservices-based systems.
Understanding of CI/CD workflows and DevOps practices.
Excellent communication and collaboration skills.
Fluent in English written and spoken.

Requirements:
Must-Have Qualifications:
10+ years of experience in software engineering, with at least 5+ years in architecture roles.
Deep understanding and experience with Kafka, PostgreSQL, MongoDB and Elastic Search.
Proven experience designing and deploying production-grade systems on Kubernetes.
Strong proficiency in Java, Python, .NET Core, and .NET Framework.
Deep understanding of microservices, distributed systems, and integration patterns.
Hands-on experience with CI/CD processes in cloud-native practices.
Hands-on experience with CI/CD processes in On Prem OpenShift Environments.
Strong communication and interpersonal skills must be able to collaborate effectively with both technical and non-technical stakeholders. And talk with our clients.
Experience with hybrid environments (on-prem + cloud).
Fluent in English written and spoken.

Requirements:
10+ years of hands-on experience in software development and system design, with at least 5 years in an architectural leadership role.
Cloud & On-Prem Expertise- Strong background in AWS (EKS/ECS, S3 lifecycle policies, Lambda, IAM) and in hybrid deployments under stringent compliance regimes.
Deep understanding of microservices architecture, distributed systems, and integration patterns.
Strong coding background in C#/.NET Core (designing for scale and maintainability)
DevOps & Deployment: Knowledge in Terraform and Helm deployment processes on AWS (ECR) and on-premise environments (Nomad, Consul, Vault).Advocate for continuous improvement of CI/CD pipelines and DevOps best practices.
Excellent communication and interpersonal skills capable of influencing and aligning stakeholders at all levels.
Fluent in English (Hebrew an advantage).
Background in digital investigations, cyber, or public safety domains an advantage.

Requirements:
- 3+ years of experience in a similar role, with a proven track record of architecting complex software systems
- Strong knowledge of microservices-based architecture and cloud-native application design
- Extensive experience in UNIX/Linux system administration and deep understanding of system-level concepts
- 2+ years of experience with CI/CD processes and tools (e.g., Jenkins), focusing on automating software delivery pipelines
- 1+ years of experience with container technologies (Docker, Kubernetes) for building and deploying scalable microservices
- 1+ years of experience in NoSQL database administration, particularly MongoDB, and proficiency in database management
- Familiarity with system monitoring tools like Datadog for ensuring infrastructure health and performance
- Demonstrated experience working with AI products, including design, implementation, and deployment of AI technologies
- Strong knowledge of cloud security practices and data security protocols
- Proficiency in at least one programming language commonly used in system architecture (e.g., Python, Go, Java)

Requirements:
2+ years of experience in technical leadership within software development.
5+ years of experience in backend development and/or architecture, with a strong focus on designing scalable systems.
Technologies We Use:
We work with a range of advanced technologies, and familiarity with any or all of them is a plus:
AWS for cloud infrastructure and services.
Kubernetes for container orchestration and managing scalable applications.
Microservices architecture for building resilient, distributed systems.
Python (with frameworks like FastAPI, Django, and Celery) for backend development.
MongoDB for handling large-scale, unstructured data.
Graph Databases for complex data relationships.
Vector Databases optimized for machine learning and high-performance querying.
React.js SPA for building responsive, dynamic user interfaces.
Generative AI and RAG (Retrieval-Augmented Generation) for incorporating LLMs into the product.

Requirements:
Required Qualifications:
- BSc degree in Computer Science or Engineering
- 10+ years of software architecture experience with 5+ years in networking datapath
- Extensive experience with smart NIC programming
- Strong background in high-performance packet processing and kernel bypass techniques
- Proficiency in C/C++, Python, and system-level programming
- Understanding of distributed systems and microservices architecture
Preferred Qualifications:
- Deep expertise in SONiC architecture, SAI (Switch Abstraction Interface), and ASIC programming
- Experience with DPDK, RDMA programming, and zero-copy networking
- Knowledge of AI/ML networking requirements and communication patterns
- Knowledge of network function virtualization (NFV) and software-defined networking
- Experience with container networking
- Understanding of network security and encryption offload technologies.

Requirements:
Must-Have Qualifications 10+ years of experience in software engineering, with at least 5+ years in architecture roles
* Deep understanding and experience with Kafka, PostgreSQL, MongoDB and Elastic Search.
* Proven experience designing and deploying production-grade systems on Kubernetes
* Strong proficiency in JAVA Python.NET Core, and.NET Framework
* Deep understanding of microservices, distributed systems, and integration patterns.
* Hands-on experience with CI/CD processes in cloud-native practices.
* Hands-on experience with CI/CD processes in On Prem OpenShift Environments.
* Strong communication and interpersonal skills must be able to collaborate effectively with both technical and non-technical stakeholders. And talk with our clients.
* Experience with hybrid environments (on-prem + cloud).
* Fluent in English written and spoken

Requirements:
Skills:
* A systems perspective that connects business needs with architectural solutions \ a systems-level perspective that includes understanding business needs and refining them into architectural actions.
* Capable of establishing and orchestrating architecture definition and review processes.
* Proven track of leading and mentoring other architects and engineers.
* Able to consider the impact on developer experience and development life cycle when making decisions.
* Highly experienced in the following technology stacks: Spring Boot, Kafka, Kafka Streams, Airflow, Relational and Non-Relational data stores and their cloud equivalents.
* Deep understanding of IoT and Data Processing at scale.
* Advantage- knowledge in physics and electronics.
* An analytic approach to problem solving, creative thinking.
* A quick learner, highly energetic, team player.
* Excellent interpersonal communication, written, verbal, and presentation skills.

Requirements:
10+ years of experience in a data engineering role, including 2+ years as a Software Architect with ownership over company-wide architecture decisions.
Proven experience designing and implementing large-scale, Big Data infrastructure from scratch in a cloud-native environment (GCP preferred).
Excellent proficiency in data modeling, including conceptual, logical, and physical modeling for both analytical and real-time use cases.
Strong hands-on experience with:
Data lake and/or warehouse technologies, with Apache Iceberg experience required (e.g., Iceberg, Delta Lake, BigQuery, ClickHouse)
ETL/ELT frameworks and orchestrators (e.g., Airflow, dbt, Dagster)
Real-time streaming technologies (e.g., Kafka, Pub/Sub)
Data observability and quality monitoring solutions
Excellent proficiency in SQL, and in either Python or JavaScript.
Experience designing efficient data extraction and ingestion processes from multiple sources and handling large-scale, high-volume datasets.
Demonstrated ability to build and maintain infrastructure optimized for performance, uptime, and cost, with awareness of AI/ML infrastructure requirements.
Experience working with ML pipelines and AI-enabled data workflows, including support for Generative AI initiatives (e.g., content generation, vector search, model training pipelines) or strong motivation to learn and lead in this space.
Excellent communication skills in English, with the ability to clearly document and explain architectural decisions to technical and non-technical audiences.
Fast learner with strong multitasking abilities; capable of managing several cross-functional initiatives simultaneously.
Willingness to work on-site in Ashkelon once a week.
Bonus Points if you have:
Experience leading POCs and tool selection processes.
Familiarity with Databricks, LLM pipelines, or vector databases is a strong plus.