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Requirements:
What Makes You a Great Fit:
Hands-on production experience with BOTH backend development using Node.js AND Android development using Kotlin is mandatory.
5+ years of software development experience in production environments - MUST.
Strong hands-on experience building backend services, microservices, and RESTful APIs using Node.js - MUST.
Strong hands-on experience developing Android applications using Kotlin - MUST.
Experience building reusable Android SDKs, libraries, and modular Android components - MUST.
Experience using AI-assisted development tools to improve development productivity and code quality - MUST.
Experience designing and implementing scalable software architectures for high-throughput, mission-critical production systems.
Experience with queueing technologies (e.g., Kafka, RabbitMQ, SQS, or similar).
Experience with Redis or similar in-memory data stores/caching technologies.
Experience with AWS cloud services and containerization (Docker, ECS/EKS, or similar).
Experience working with databases and distributed systems.
Experience with CI/CD pipelines, version control (Git), and Agile metho-dologies.
Solid understanding of UI/UX principles, performance optimization, and responsive design for Android applications.
Excellent problem-solving skills, communication, and the ability to work in a collaborative, fast-paced environment.

Nice to Have:
Familiarity with EV charging standards or IoT ecosystems - Big Advantage
Experience with payment gateways, PCI compliance, or fintech/transactional systems.
Experience building products or systems from scratch (0-to-1).
Bachelors degree in Computer Science, Software Engineering, or a related field.

Requirements:
What Makes You a Great Fit:
At least 5 years of Backend software development experience - must.
At least 2 years of Node.js development experience - must.
Typescript experience.
Solid programming foundations: data structures, and back-end design patterns.
Proven record of leading, developing, and scaling production-ready SaaS products that are highly available, distributed, and large scale.
Autodidactic abilities to ramp up quickly on new technologies.
Team Player with a Can-Do Approach.

Nice to Have:
Experience with AWS.
Experience with NestJS.
Experience with KafkaPostgresqlredis.
Experience with cloud-based systems and microservices architecture.
Experience with various database types.

Requirements:
9+ years of backend development experience
2+ years of hands-on NodeJs OR Python OR GO experience - or strong motivation to learn and use it in production- big advantage.
Experience with distributed, high-scale systems.
Proven experience designing and building high-scale, production systems
Deep understanding of backend architecture, distributed systems, and APIs
Strong problem-solving and debugging skills, including complex system behavior and production troubleshooting at scale
Experience working with databases (relational and/or NoSQL), including schema design and performance considerations
Solid knowledge of modern backend technologies and frameworks
Experience collaborating across teams in a large or multi-team environment
Strong communication skills and the ability to lead through influence
Nice to Have:
Familiarity with containerization tools (Docker/Kubernetes)
Exposure to caching systems (e.g., Redis) or event-driven architectures
Prior experience leading a technical area or subsystem
Experience with Cursor

Requirements:
At least 5 years of hands-on programming experience - Must.
BSc. in Computer Science, Computer Engineering, Mathematics, or any relevant scientific field (advanced degrees are an advantage) - Must.
Experience in computer architecture, assembly language, and low-level programming concepts - Advantage.
Experience working in a multidisciplinary environment - Advantage.
Familiarity with MLIR/LLVM - Advantage.
A motivated and resourceful problem solver with a passion for tackling complex technical challenges, especially in hardware-oriented environments.

Requirements:
- 5+ years of hands-on DevOps experience with a strong software development background - prior development experience is a must
- B.Sc. in Computer Science or equivalent practical experience
- Strong programming skills in Python (or a similar high-level language); ability to write and own production tooling
- Proven experience designing and building scalable systems, automation frameworks, and infrastructure as code using Terraform and Helm
- Solid understanding of Linux, containers (Docker), and Git-basd workflows
- Hands-on experience with CI/CD at scale using GitHub Actions or similar - including reusable actions, workflow design, and automation frameworks
- Deep experience with hybrid cloud infrastructure (AWS and on-prem), including EKS, ARC, Karpenter, ECR, S3, Direct Connect, VPC endpoints, IAM/OIDC, and Secrets Manager
- Experience operating spot and on-demand runner pools for builds, DinD tests, releases, and security scans across multiple AWS regions
- Experience with DinD environments (Sysbox, EBS/NVMe, memory limits, overlay storage, MTU/networking) and build caching (BuildKit, sccache, Valkey)
- Experience connecting on-prem/self-hosted runners and routing physical device (wbox) test jobs by site and device type
- Experience implementing DevSecOps controls and improving platform observability, cost efficiency, and reliability
- Platform & tooling familiarity: Kubernetes (EKS, on-prem) GitHub Actions ARC Karpenter Terraform Helm Docker/DinD Sysbox containerd BuildKit ECR S3 ElastiCache (Valkey) sccache Direct Connect VPC endpoints IAM/OIDC Secrets Manager self-hosted runners
Soft Sills:
- Strong system-level thinking and troubleshooting skills; able to diagnose and resolve complex infrastructure issues independently
- Takes end-to-end ownership and drives problems to resolution without hand-holding
- Excellent communication and cross-team collaboration skills; comfortable working alongside large engineering organizations
Nice to Have / Advantage
-Experience with Jenkis
- Familiarity with GitHub merge queue
- Experience with MinIO or on-prem S3 caching
- Hardware-in-the-loop CI experience
- MTU/VPC networking tuning expertise
- Monorepo CI optimization experience

Requirements:
8+ years building backend systems in Java/Kotlin, including experience leading the technical work of a team
You still write code, and you're good at it - this is not a management-only role
Deep concurrency expertise: race conditions, lock ordering, async patterns - and you can teach others to reason about them
Architecture at system scale: throughput, distributed coordination, performance trade-offs
Design review leadership: you can take apart a design constructively and propose one that will hold
A track record of mentoring engineers who got better because of you
You treat code quality as a system property, building the standards and culture that sustain it
Strong Plus:
Spring experience
gRPC-based communication
Python programming
Experience in polyglot environments
AI coding agent experience, with opinions on how a team should use them well
Experience with real-time, low-latency, or hardware-adjacent systems
You'll Thrive Here If You:
Lead through reasoning, not title
Ask questions when requirements are unclear, rather than guessing
Know when to insist on "right" vs. "good enough to ship"
Give direct, kind feedback
Communicate clearly, including to non-backend audiences.

Requirements:
- Strong Python backend development experience.
- Proven experience designing large-scale systems with a focus on scalability, reliability, and performance.
- Working knowledge of TypeScript and React.
- Experience with AI-native development and AI-driven SDLC.
- Experience incorporating agentic workflows into development and products.
- Solid grasp of software design principles, APIs, and databases.
Soft Skills:
- Strong problem-solving skills.
- Collaborative mindset and effective cross-functional communication.
Nice to Have / Advantage:
- Data engineering experience.

Requirements:
5+ years of experience in the HPC or AI/ML industry, with deep hands-on technical expertise across the AI compute stack.
Deep understanding of inference serving architectures for heterogeneous compute - including serving engines (vLLM, SGLang, or equivalent), support for mixed accelerator environments, and the scheduling and memory challenges they introduce.
Solid knowledge of multi-node inference, tensor and pipeline parallelism, and the trade-offs involved in scaling large models across heterogeneous GPU and accelerator clusters.
Solid knowledge of KV-cache management and tiering, including disaggregated prefill/decode architectures, CPU/storage offload, and their operational implications at scale.
Experience with performance benchmarking of ML workloads - defining methodologies, running experiments, interpreting throughput/latency/cost trade-offs, and communicating results to both technical and business audiences.
Familiarity with CCL tuning (NCCL, RCCL) and the impact of collective communication configuration on inference and training efficiency across large GPU clusters.
Familiarity with storage systems relevant to ML workloads - including high-throughput distributed file systems (e.g., Lustre, VAST, WekaIO), object storage, and checkpoint/model weight loading strategies under tight latency budgets.
Experience engaging technology partners (compute, storage, silicon vendors) to define joint reference architectures and go-to-market proposals.
Clear written and oral communication skills with the ability to effectively collaborate with executives, engineering teams, and external partners.
Ability to write extensive technical content (white papers, technical briefs, reference architectures) for external audiences with a balance of technical accuracy and clear messaging.
Travel as needed.

Requirements:
At least 3 years of full-time hands-on development experience
Minimum 2 years of managerial experience
כישורים נדרשים
Cloud development experience
Proficiency in Python development
Experience with Angular / React
Bachelors degree in Computer Science, Software Engineering, or Information Systems - preferred
Experience with .NET Core / Node.js
In-depth understanding of RESTful API implementation.

Requirements:
BSc in Computer Science or related degree, or equivalent practical experience.
5+ years of working as a Software Engineer.
Experience with the following coding languages: C++/ C - Must
Fast and self-learner of new technologies and coding languages
Advantage
Experience working in Linux environment
Rust, Python
Experience with developing software infrastructures
Experience with computer networking software
Experience with high scale & performance optimizations

Requirements:
BSc degree in Computer Science or Engineering
5+ years of software development experience in networking or systems programming
Understanding of networking protocols and packet processing optimization
Preferred Qualifications:
Experience with SONiC development, SAI implementation, or switch software
Rust
Knowledge of Linux kernel networking
Experience with smart NIC programming interfaces and SDK development
Familiarity with DPDK, RDMA, and high-performance networking libraries
Experience with AI/ML framework networking integration

Requirements:
3+ years experience with database systems (PostgreSQL, Oracle preferred)
Proficiency in Linux/Unix, system architecture, Bash, and Python
כישורים נדרשים
Familiarity with Airflow, Grafana, and Atlassian tools is a plus
Team player with a passion for innovation and problem-solving.

Requirements:
5+ years of professional experience in fullstack software development
Strong proficiency in React and modern JavaScript/TypeScript ecosystems (Redux, Next.js, etc.)
Experience with backend development using Python
Familiarity with RESTful APIs, GraphQL, and microservices architecture
Experience with containerization (Docker, Kubernetes).

Requirements:
2+ years of experience in Low-Level vulnerability research
Significant experience in Reverse (RE) of binaries, firmware and system components
Proficiency in C/C++ programming and low-level system programming
כישורים נדרשים
Experience with Embedded Systems or Automotive systems
Familiarity with networks and communication protocols
Experience with Fuzzing techniques and tools
Background in hardware security, cryptography or Android platform security
Relevant military experience in cybersecurity or related fields.