דרושים Senior Full-stack Engineer ב-Team8 ב-Israel, Tel-aviv

IVIX employs a variety of AI tools (deep neural networks, large language models, and predictive modeling) as well as advanced data analytics to rapidly pinpoint large-scale illicit business activity, so government authorities can combat financial crime in the digital age.

What will you do?

• Utilize the LLM-based core component of our product.
• Define and implement machine learning algorithms and methods for data retrieval from other components to the core.
• Continuously enhance our product’s core analysis capabilities by advancing LLM prompt techniques.
• Build and utilize an evaluation infrastructure for the LLM components in the product.
• Collaborate with cross-functional teams to integrate LLM solutions seamlessly into the product.

Who are you?

• 2+ years of experience deploying LLM models
• Experience with LLM, NLP, and data science Python libraries
• Deep understanding of LLM architecture, optimization, and prompting techniques
• Experience with building RAG-based applications.
• Experience in scalable and performant serving of LLM-based systems
• Experience with Python and high-scale production projects
• 5+ years of development experience
• All-around team player, fast, self-learning individual

Preferred Skills:

• Experience with LLMOps, embedding models, data pipelines, and vector databases
• Experience with Code GenAI and RAG in code generation, code analysis
• Experience with encoder-only models for code retrievals

Why Join Orchid Security?

• Join Orchid Security at an exciting stage and make a real impact on shaping the future of security infrastructure! We’re building cutting-edge technology and looking for brilliant, curious, and creative minds to grow with us.
• Great culture & perks – Competitive benefits, stock options, and exciting growth opportunities.
• Work-life balance – Wellness programs, fun employee events, and a dog-friendly office!
• Purpose-driven workplace – We actively support local communities and encourage employees to be ambassadors of change.
• If you’re ready for a fast-paced, rewarding journey, Orchid Security is the place to be!

Responsibilities

• Design, implement, and optimize scalable data pipelines for efficient data processing and analysis.
• Build and maintain robust data acquisition systems to gather, process, and store data from various sources.
• Work closely with DevOps engineers, Data Science and Product teams to understand their requirements and provide data solutions that meet business objectives.
• Proactively monitor data pipelines and production environments to identify and resolve issues promptly.
• Implement best practices for data security, integrity, and performance.
• Mentor and guide junior team members, sharing expertise and fostering their professional development.

Requirements

• 6+ years of experience in data or backend engineering, preferably with Python proficiency for data tasks.
• Demonstrated experience in designing, developing, and delivering sophisticated data applications
• Ability to thrive under pressure, consistently delivering results, and making strategic prioritization decisions in challenging situations.
• Hands-on experience with data pipeline orchestration and data processing tools, particularly Apache Airflow and Spark.
• Deep experience with public cloud platforms, preferably GCP, and expertise in cloud-based data storage and processing.
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
• Bachelor’s degree in Computer Science, Information Technology, or a related field or equivalent experience.

Advantage:

• Familiarity with data science tools and libraries.
• Experience with Docker containers and Kubernetes.

About IONIX

What we’re looking for

What you’ll be doing

• Take part in developing the world’s leading Attack Surface Management solution.
• Address security, scalability, and performance challenges.
• Work closely with other team members and different teams within the R&D org.
• End-to-end ownership of features, from design through development and deployment.
• Take part in uncovering and resolving critical vulnerabilities for enterprise-level companies.
• Develop and maintain a cutting-edge cloud service following the market’s highest standards.

We’d love to hear from you if you have:

• 6+ years of hands-on backend development experience with large-scale, production-grade systems.
• Expertise in Python with proven experience (this is a must).
• A collaborative mindset and the ability to thrive in a fast-paced environment.
• Experience with cloud environments like Azure, AWS, or GCP.
• Familiarity with SaaS, serverless solutions, and microservice architecture.
• Skills in data flow pipeline design/implementation or knowledge of data engineering.
• Experience working closely with Data Analysts and understanding their needs.
• Strong coding skills and a solid grasp of large-scale architecture and design patterns.
• Experience with building production-grade ML mechanisms.
• A passion for tackling challenging legacy systems, transforming undocumented or hard-to-maintain code into clean, maintainable solutions.
• A passion for web security technologies and a deep understanding of network protocols (advantageous).
• A Bachelor’s degree in Computer Science/Engineering or equivalent experience.

Your role will include:

• Taking features from definition to client delivery with extreme quality demands and understanding the complexities from top to bottom.
• Deep integration with complex systems requiring creative out-of-the-box solutions
• System Architecture and Design
• Build for scale, including monitoring and performance considerations.
• Innovating and moving us forward.

• 5+ years of backend-focused software development experience.
• Proficient in Python/GO development.
• Hands-on with Big Data and Data Pipeline tech (Airflow, Spark, Kafka, etc.).
• Expertise in crafting robust, high-quality software with SOLID principles and comprehensive testing.
• Proven record of scaling and producing production-grade solutions.
• Dedicated learner, constantly aiming for self-improvement and growth.
• Collaborative team player with a knack for results-driven contributions.
• Innovative problem solver, known for delivering streamlined solutions to complex challenges.

What will you do?

• Design, manage, and optimize our cloud-based infrastructure
• Develop and maintain developer tools to streamline our workflows
• Provide guidance on best practices related to infrastructure and development cycles
• Troubleshoot and resolve complex production issues
• Assist in optimizing the development and deployment processes
• Collaborate closely with our entire R&D team to maximize their productivity and effectiveness

What should you have?

• At least 6 years of hands-on DevOps experience
• Proven skills with Kubernetes
• Extensive experience with Python programming
• Experience with AWS or other major cloud infrastructures; AWS experience preferred
• Experience working in an environment utilizing GitOps methodologies
• Experience in constructing complex CI/CD pipelines
• Familiarity with Infrastructure as Code (IaC) tools
• Advantage-Background as a software engineer
• Advantage – Previous experience in a SaaS company and start-up company

• Experience: 5+ years of experience working on high-scale distributed systems OR as an Infrastructure, Platform, or DevOps Engineer.
• Cloud-Native Infrastructure: Experience designing, building, and maintaining scalable infrastructure in cloud environments.
• Security & Compliance: Strong understanding of security best practices and compliance requirements for cloud-based systems.
• CI/CD & Developer Enablement: Proven ability to streamline developer workflows, improve build and deployment automation
• Kubernetes Expertise: Deep understanding of Kubernetes architecture, components, and main flows, including troubleshooting and optimization.
• Experience with AWS services
• Networking: deep knowledge of cloud networking, VPCs, and service discovery.
• Performance Optimization: Ability to analyze and optimize resource utilization, application performance, and cloud costs.
• Problem-Solving & Self-Learning: Highly motivated engineer with passion and strong self-learning ability.
• Collaborative in a Small, Fast-Paced Team: Comfortable working in a small, dynamic team, taking ownership, and wearing multiple hats when needed.
• Fun & Positive Attitude: A great team player – someone who makes work enjoyable and contributes to a positive culture.

Advantage:

• AI & LLM Integration: Familiarity with AI frameworks, LLMs, and their integration into platform systems. Understanding of how to optimize, deploy, and maintain AI-based services while addressing potential operational challenges.
• Infrastructure as Code (IaC): Extensive experience with Terraform (or equivalent IaC tools) for managing cloud infrastructure.
• Scripting & Automation: Strong ability to write automation and maintenance scripts using Python, Bash, or similar scripting languages.