דרושים » הנדסה » Senior Software Engineer Backend

Requirements:
4+ years of hands-on experience in backend development.
Strong expertise in Java, and Spring Boot, (Go - advantage).
Experience with using and implementing RESTful APIs (GraphQL - advantage)
Basic understanding of networking concepts (e.g., TCP/IP, DNS, DHCP, VPN, network protocols).
Deep understanding of Object-Oriented Programming and software engineering principles.
Experience with databases: NoSQL (Elasticsearch, Redis, MongoDB) and relational (MySQL, PostgreSQL).
Familiarity with microservices architecture and technologies (Docker, K8S).
Experience with AWS technologies - advantage
Proven experience in big data applications advantage.
Experience with FE technologies and JavaScript - advantage (React and TypeScript - big advantage)
Experience working with AI tools such as Github copilot - advantage
Strong problem-solving skills, self-learning ability, and team collaboration mindset.
B.Sc. in Computer Science or equivalent.

Requirements:
Minimum qualifications:
Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
10 years of experience architecting networking ASICs from specification to production.
Experience working with design networking like: RDMA and or packet processing and system design principles for low latency, throughput, security, and reliability.
Experience developing RTL for ASIC subsystems.
Experience in cross-functional, micro-architecture, design, verification, logic synthesis, and timing closure.
Preferred qualifications:
Experience in Transmission Control Protocol (TCP), IP, Ethernet, PCIE and Dynamic random-access memory (DRAM), Network on Chip (NoC) principles and protocols.
Experience in estimating performance by analysis, modeling, and network simulation, and defining and driving performance test plans.
Experience working with Software teams optimizing the hardware/software interface.
Experience architecting networking switches, end points, and hardware offloads.
Experience in a procedural programming language (e.g., C++, Python, Go).
Understanding of packet classification, processing, queueing, scheduling, switching, routing, traffic conditioning, and telemetry.

Requirements:
BS or MS degree in Computer Engineering, Computer Science, or a related field (or equivalent experience).
A minimum of 5+ years of software development experience in areas such as data forwarding, NFV, SDN, kernel and container networking, SmartNICs, and offload solutions.
Strong and validated experience in C programming.
Strong technical abilities, problem-solving, design, coding, and debugging skills.
Lead feature development, take full ownership of tasks from A-Z, and deliver independently with minimal supervision.
Ability to quickly understand new requirements and technologies and swiftly prototype and implement solutions.
Ways to stand out from the crowd:
Experience in virtualized networking and SRIOV, and packet processing using Openvswitch.
Background in Linux kernel networking internals.
Knowledge of routing and control plane technologies such as EVPN, Segment Routing, PIC, etc.
Participation in the open-source community.
Python and C++ programming skills.

Requirements:
5+ years of experience in building backend software using a high-level language such as Golang and Python.
Experience in building cloud-native products.
Experience in SQL.
Experience building distributed systems using modern frameworks, such as RabbitMQ, Kafka, Amazon SQS, and Celery.
Experience in writing RESTful APIs.
Experience with gRPC.
Experience in async programming (e.g. asyncio, goroutines).
Knowledge of cloud internals (AWS, Azure, GCP) - advantage.
Knowledge in the cybersecurity domain - advantage.
B.Sc. in Computer Science or related field, or relevant military experience - advantage.
Please add a link to your GitHub profile (optional).

Requirements:
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
8 years of experience architecting networking ASICs from specification to production.
Experience working with design networking like: RDMA and or packet processing and system design principles for low latency, high throughput, security, and reliability.
Experience developing RTL for ASIC subsystems.
Experience in cross-functional, micro-architecture, design, verification, logic synthesis, and timing closure.
Preferred qualifications:
Experience in Transmission Control Protocol (TCP), IP, Ethernet, PCIE and Dynamic Random-Access Memory (DRAM), Network on Chip (NoC) principles and protocols.
Experience in estimating performance by analysis, modeling, and network simulation. Skilled in defining and driving performance test plans.
Experience working with software teams optimizing the hardware/software interface.
Experience architecting networking switches, end points, and hardware offloads.
Experience in a procedural programming language (e.g. C++, Python, Go.).
Understanding of packet classification, processing, queueing, scheduling, switching, routing, traffic conditioning, and telemetry.

Requirements:
Required Skills & Qualifications
Experience: 5+ years of professional software development experience.
Programming Languages: Proficiency in one or more languages such as C#, JavaScript/TypeScript, or Go.
Frameworks & Technologies: Experience with frameworks such as .NET Core & React.
Databases: Strong understanding of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases.
Microservices & APIs: Strong experience in building RESTful APIs and microservices architectures.
Data Lakes & Warehouses (Advantage): Experience working with one of the leading vendors for big data processing, analytics, and storage.
Cloud Platforms (Advantage): Experience with AWS, Azure, or Google Cloud Platform (GCP).
Security & Compliance (Advantage): Understanding of secure coding practices and data protection regulations.
Testing (Advantage): Experience with unit testing, integration testing, and automated testing frameworks.
CI/CD & DevOps (Advantage): Experience with Docker, Kubernetes, Gitlab, or other CI/CD tools.
Education (Advantage): Bachelors or Masters degree in Computer Science, Software Engineering, or relevant army training.
Preferred Skills & Qualifications
Experience working with one of the leading Data Lake & Warehouse vendors for big data processing, analytics, and storage.
Experience with any of the leading cloud platforms AWS, Azure, or Google Cloud Platform (GCP).
Understanding of secure coding practices and data protection regulations.
Experience with unit testing, integration testing, and automated testing frameworks.
Experience with Docker, Kubernetes, Gitlab, or other CI/CD tools.
Experience in distributed systems, event-driven architecture, or message queues (Kafka, RabbitMQ).
Knowledge of front-end development (React, Vue.js, or Angular).
Bachelors or Masters degree in Computer Science, Software Engineering, or relevant army training.
Contributions to open-source projects or personal coding projects.
Familiarity with observability and monitoring tools like Prometheus, Grafana, or Datadog.
Soft Skills
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
Ability to work in a fast-paced, Agile development environment.
Passion for continuous learning and staying updated with industry trends.
Additional Skills:
Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX).

Requirements:
Experienced Software Engineer: 4+ years of experience in software engineering, with a proven ability to design and develop high-performance distributed systems. Bachelors degree in Mathematics, Statistics, Computer Science, or a related field.
Your Playground: Proficient in at least one scripting language such as Python or Java, with 3+ years of experience. Passionate about new technologies and data, with a basic background in AI considered a plus. Experience as a data engineer (e.g., Spark, Snowflake) is advantageous.
Cloud & Infrastructure Expert: Demonstrated experience working with cloud environments such as AWS, GCP, or Azure. Experience with build systems and CI/CD tools (e.g., Jenkins, TeamCity). Skilled in containerized environments using Kubernetes and familiar with message queuing systems like SQS or Kafka.
Database & Data-Driven: Experience with message queuing systems (SQS/Kafka). Familiarity with SQL, NoSQL, and analytics databases.
Continuous Integration & Quality Advocate: Demonstrates attention to detail and a strong commitment to delivering high-quality work.
Collaborative Leader & Communicator: Strong collaboration, communication, and leadership skills, both English and Hebrew

Requirements:
Bachelor's degree in computer science, Software Engineering (or equivalent work experience).
5+ years of experience as a software engineer with hands-on production experience working in the backend side of complex systems.
Strong proficiency in at least one backend programming language (e.g., Go, C#) and associated frameworks.
Hands-on experience in the following technology stack: Kubernetes & Helm, Frontend experience, NodeJS (Typescript), Elasticsearch.
Experience with relational databases (PostgreSQL- advantage), and ability to design efficient schemas and write optimized queries.
Strong problem-solving skills and ability to work both independently and as part of a team.
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
Low-level understanding of network protocols and Windows internals- advantage.
Experience with cloud services (GCP/AWS/Azure)- advantage.

Requirements:
Bachelor's degree in computer science, Software Engineering (or equivalent work experience) - must
4 years of experience as a software engineer with hands-on production experience working in the backend side of complex systems
Experience with cloud services (GCP/AWS/Azure)- must
Strong proficiency in at least one backend programming language (e.g., Go, JAVA or C#) and associated frameworks
Hands-on experience in the following technology stack: Kubernetes & Helm, Elasticsearch
Experience with relational databases (PostgreSQL- advantage), and ability to design efficient schemas and write optimized queries
Strong problem-solving skills and ability to work both independently and as part of a team
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams
Low-level understanding of network protocols and Windows internals- advantage

Requirements:
What we need to see:

M.S. (or equivalent experience) or PHD in Computer Science, or related field with relevant performance engineering and HPC experience.

3+ yrs of experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM).

Experience conducting performance benchmarking and triage on large scale HPC clusters.

Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals).

Implement micro-benchmarks in C/C++, read and modify the code base when required.

Ability to debug performance issues across the entire HW/SW stack. Proficient in a scripting language, preferably Python.

Familiar with containers, cloud provisioning and scheduling tools (Kubernetes, SLURM, Ansible, Docker).

Adaptability and passion to learn new areas and tools. Flexibility to work and communicate effectively across different teams and timezones.

Ways to stand out from the crowd:

Practical experience with Infiniband/Ethernet networks in areas like RDMA, topologies, congestion control.

Experience debugging network issues in large scale deployments.

Familiarity with CUDA programming and/or GPUs.

Experience with Deep Learning Frameworks such PyTorch, TensorFlow.