דרושים » תוכנה » Senior Software Engineer - AI Security

Requirements:
5+ years of software engineering experience, with at least 2 years in Python.
Experience building back-end services using microservices architecture.
Proficiency with both SQL and NoSQL databases.
Strong background in designing scalable, distributed systems.
Hands-on experience in CI/CD environments and modern testing frameworks.
Solid understanding of TDD and a quality-first engineering mindset.
Excellent communication skills in English.
🌟 Bonus Points For:
B.Sc. in Computer Science, Engineering, or equivalent experience.
Startup experience or work in multidisciplinary tech environments.
Experience with multi-threaded or multi-tasked applications.
Hands-on with AWS (e.g., Lambda, SQS, CloudFront, EKS).
Familiarity with Docker, Kubernetes, and RESTful services.
Exposure to computer vision or AI-driven systems.
Background in video systems (streaming, encoding, media servers).
Experience with any of our stack: GitLab, InfluxDB, RabbitMQ, MongoDB, PyTorch.

Requirements:
6+ years of experience in DevOps, MLOps, or infrastructure roles with a focus on ML model delivery.

Proven hands-on experience deploying GPU-based models (LLMs, vision, transformers) using vLLM or Triton.

Deep knowledge of AWS EKS and Kubernetes, with practical experience configuring Karpenter and KEDA for auto-scaling GPU workloads.

Experience building pipelines using Jenkins, GitHub Actions, and managing releases for ML and application codebases.

Familiarity with AWS SageMaker, ClearML, or similar platforms for ML orchestration and experimentation.

Strong scripting and automation skills in Python, Bash, and working knowledge of containerization (Docker).

Solid grasp of networking, IAM, and cloud security fundamentals.

Requirements:
BA or B.Sc in Computer Science or an equivalent field
5+ years of hands-on experience in SW development.
Strong proficiency in at least one backend programming language (Java, Python).
Strong understanding of object-oriented programming, design patterns, and clean code principles
Familiarity with database systems (SQL/NoSQL) and query optimization techniques
Proven experience of cloud platforms (AWS, Azure, GCP) and microservices architecture
Strong understanding of REST API
Excellent problem-solving skills and a proactive attitude
Strong communication skills and the ability to collaborate in a team environment
Advantages:
Experience with Spring Boot and the Spring Framework ecosystem
Experienced with JPA (Hibernate advantage)
Experience with streaming or messaging services (Kafka, RabbitMQ)
Knowledge of monitoring tools such as Grafana, Prometheus, or ELK Stack
Hands-on experience with containerization and orchestration (Docker, Kubernetes)
Familiarity with big data technologies like Apache Flink or Spark
Experience in performance optimization and distributed systems.

Requirements:
BSc in Computer Science or a related field.
6+ years of experience building and deploying ML systems in production environments.
Proficiency in Python and production frameworks like FastAPI, Databricks, SageMaker, and MLflow.
Proven track record in deploying and maintaining ML/LLM services (APIs, microservices, serverless, or containerized).
Strong understanding of software engineering fundamentals: object-oriented design, testing, version control, CI/CD, and performance optimization.
Experience working with agentic workflows or LLM-based agents.
Ability to work independently and break down complex, ambiguous problems into structured solutions.
Strong communication skillsable to explain technical concepts to both technical and non-technical stakeholders.
Advantages:
Hands-on experience with Kubernetes, Airflow, Spark, ArgoCD, and Docker.
Experience working with databases such as Elasticsearch, vector databases, PostgreSQL, and SQL.
Experience fine-tuning or integrating open-source LLMs in production environments (e.g., RAG, LoRA, agent frameworks).
Contributions to open-source ML or MLOps projects.

Requirements:
6+ years of professional experience as a software engineer with a strong emphasis on backend development in both dynamic and statically typed languages preferably Java.
A solid understanding of distributed and scalable production systems.
High standards for code quality, testability, maintainability, security and performance.
Experience with monitoring and troubleshooting live-production applications a must.
Experience with relational and non-relational databases (MySQL, Redis, DynamoDB).
Experience with OOP, TDD and MVC.
Previous experience with NodeJS an advantage.
Previous experience working on Travel systems, online booking tools, GDS systems and/financials and payments systems an advantage.
Experience in a startup environment an advantage.
Team player with excellent communication and collaboration skills.
Fluent English spoken and written.

Requirements:
5+ years of professional experience as a backend developer, with strong skills in Python
Solid experience in developing services on cloud platforms, particularly AWS (experience with Azure or GCP is a plus).
Expertise in Python frameworks and Node.js frameworks (e.g., Express).
Strong understanding of software engineering principles, including system design and data structures.
Experience building RESTful APIs and microservices architectures.
Familiarity with relational and NoSQL databases (e.g., MySQL, MongoDB).
Strong debugging, performance optimization, and troubleshooting skills.
Strong communication and collaboration skills, with the ability to work effectively in a team.
Proactive, detail-oriented, and self-motivated with the ability to thrive in a fast-paced environment.
Nice-to-Have:
Experience with Node.js
Knowledge of serverless architecture (e.g., AWS Lambda).
Experience with DevOps tools and practices, including:
Infrastructure as Code (IaC) tools like Terraform.
Containerization and orchestration tools like Docker and Kubernetes (K8s).
CI/CD tools such as Jenkins or similar.
Knowledge of security best practices for cloud-based environments.
Previous experience working in an infrastructure or architecture team.

Requirements:
You have 5+ years of professional experience as a full-stack software engineer with a focus on frontend web development.
You have excellent knowledge of web development tools (React and modern JavaScript frameworks).
You are proficient in at least one backend programming language (e.g., Elixir, ReScript NodeJS, Rust, Go, etc).
You are an independent, fast learner excited about learning new technologies.
You have experience working in teams and conducting structured code reviews.
You are product-oriented, combining thoughtfulness with pragmatism and a will to get stuff done.
You believe in clear and honest communication, with a shared understanding of both long-term vision and immediate next actions.
You thrive in distributed teams with a self-driven approach to collaboration and time management.

Requirements:
Must:
BSc in Computer Science or related degree, or equivalent practical experience.
4+ years of hands-on experience as a software Engineer
Strong proficiency in Python and experience with AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face).
Experience with AI APIs (OpenAI, Anthropic, Google AI, Microsoft AI) and integrating them into engineering workflows
Hands-on experience with developer productivity tools, AI-enhanced automation, and knowledge management systems
Strong problem-solving skills and ability to build AI-powered solutions that engineers love to use.
Nice to Have:
Deep understanding of LLMs, RAG (Retrieval-Augmented Generation), fine-tuning, and prompt engineering.
Experience with data pipelines, embeddings, and vector databases for AI-powered search and automation.
Experience working with cloud-based AI platforms and scalable AI architectures
Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for deploying AI applications.
Experience with AI Ops, observability tools, and monitoring AI applications in production.
Familiarity with LangChain, AutoML, MLOps frameworks, and workflow automation tools.
A background in software engineering, DevOps, or developer tooling.
Strong entrepreneurial mindset, able to identify opportunities, move fast, and drive AI adoption in a high-impact environment.
Published research, open-source contributions, or side projects demonstrating innovative AI applications.
Why Join Us?
This role is for builders, problem-solvers, and AI enthusiasts who want to push the boundaries of engineering productivity with AI. Youll be at the forefront of AI-powered platform engineering, shaping how our company leverages AI to supercharge innovation, efficiency, and automation.
If youre looking to build game-changing AI platforms, experiment with cutting-edge tech, and make a real impactjoin us!

Requirements:
4+ years of software engineering experience, with at least 2 years in Python.
Experience building back-end services using microservices architecture.
Proficiency with both SQL and NoSQL databases.
Strong background in designing scalable, distributed systems.
Hands-on experience in CI/CD environments and modern testing frameworks.
Solid understanding of TDD and a quality-first engineering mindset.
Excellent communication skills in English.
🌟 Bonus Points For:
B.Sc. in Computer Science, Engineering, or equivalent experience.
Startup experience or work in multidisciplinary tech environments.
Experience with multi-threaded or multi-tasked applications.
Hands-on with AWS (e.g., Lambda, SQS, CloudFront, EKS).
Familiarity with Docker, Kubernetes, and RESTful services.
Exposure to computer vision or AI-driven systems.
Background in video systems (streaming, encoding, media servers).
Experience with any of our stack: GitLab, InfluxDB, RabbitMQ, MongoDB, PyTorch.