דרושים » תוכנה » Software Developer - AI Security 25561

Requirements:
What you bring to the team:

5+ years of hands-on experience building and operating complex back-end systems in production environments.

Expert-level Python skills, with a proven track record of designing, delivering, and supporting commercial-grade software.

Practical AI assisted/autonomous development experience with AI/agent tools such as Claude code, Devin, etc.

Demonstrated experience owning system design and architectural decisions, particularly for data-intensive or distributed systems.

Experience with CI/CD pipelines, automated testing, and cloud platforms (AWS, GCP, or Azure), including streaming or event-driven architectures.

Strong experience working in agile environments, collaborating across disciplines, and providing constructive technical feedback.

Bachelors degree in Computer Science or a related field, or equivalent practical experience.

Requirements:
Work in a team of top-of-the-line software engineers, developing state-of-the-art management systems for managing mission-critical enterprise-level data platforms.
our companys management systems include:
A highly scalable platform featuring complex high-availability mechanisms, and advanced APIs, interoperable with a diverse software ecosystem.
A cutting-edge AI-based cloud-operated SaaS.
Requirements
Proven experience in server-side Python programming, featuring: multi-threading, multi- processing, communication protocols, databases.
Background development of management systems or other kind of enterprise or cloud based high-scale systems
Proficient in Linux environment
Experience in development of network, storage, server or virtualization management systems - an advantage
Full-stack capabilities featuring Web UI technologies - an advantage
Fast learner, team player, dedicated, accurate design and coding capabilities
Location: Tel Aviv.

Requirements:
5+ years of backend engineering experience building production systems
3+ years of professional Python experience
Proven experience designing and building large-scale, performant distributed systems
Strong experience with Docker and Kubernetes, and with a cloud provider (preferably AWS)
Experience with one or more modern data stores / data platforms such as Snowflake, PostgreSQL, Redis and data lake formats (e.g., Parquet/Iceberg)
Strong communication skills and ability to clearly articulate technical ideas and tradeoffs
High proficiency in English (written and spoken)
Collaborative, responsible team player who enjoys working in a dynamic, business-oriented environment
Advantage:
Microservices architecture experience
Experience applying AI tools/assistants to engineering workflows (e.g., productivity, code quality, debugging, automation)
Experience in cybersecurity / security products

Requirements:
At least 3 years of experience as a backend/Big Data developer.
Excellent with at least two of the languages: NodeJS(TypeScript)/Python/Golang.
Demonstrated hands-on experience with advanced AI tools and technologies.
B.Sc Graduate in Computer Science or related engineering degree.
Azure cloud environment experience.
Large-scale production data experience - an advantage.
We are looking for a team player that will integrate well with our team.

Requirements:
7+ years of experience working as a Backend Developer
Proven expertise in AI Vibe Coding and a strong interest in developing AI-driven developer tools.
Strong proficiency in one or more of the following languages: Python, TypeScript or Golang.
Experience building and maintaining live, high-scale cloud production systems, preferably on a major cloud provider like GCP.
A strong technical background; independent and self-motivated, with excellent problem-solving skills.
A deep passion for enhancing the developer experience.

Requirements:
What are we looking for?
4+ years of experience as a backend software engineer building production systems.
Proficiency in Python, Node.js, or Go, with a strong focus on clean, maintainable code.
Hands-on experience with AWS serverless services (e.g., Lambda, API Gateway, DynamoDB, SQS/SNS) and infrastructure-as-code.
Experience designing API-driven and event-driven systems.
Strong familiarity with AI development assistants (e.g., Cursor, Claude Code) and active usage in day-to-day development workflows.
Solid problem-solving skills and the ability to work independently in a fast-paced startup environment.

Advantage:
‍‍Experience working on fully serverless systems in production.
Experience with CI/CD pipelines, automated testing, and monitoring in production environments.
Strong communication skills and a collaborative mindset.
Familiarity with frontend technologies (e.g., React, basic frontend architecture) - even if backend is your core focus.

Requirements:
Infrastructure Group manager
We are looking for an infrastructure group Manager to lead the infrastructure teams. He/she will be responsible for the developing and investigating complex product scenarios on top of state-of-the-art automation infrastructures and tools. He/she should be a great team player with the ability to develop strong working relationships and increase engagement / collaboration with peers to drive technology roadmaps.
Key Responsibilities
Leading a group of infrastructure team
leaders and Automation developers.
Leading Automation infrastructure planning of new and existing features.
Oversee the overall development automation and infrastructure tools, from design/planning to implementation and support to maintain high standard of software quality.
Assigns tasks, reviews work and may contribute to employee performance appraisals.
Building scalable and high quality and maintainable automation infrastructure.
Being an integral part of our thriving culture and improve the team and the company.
Working with cutting edge technologies -Kubernetes, docker, postgres, AWS, GCP, Azure and more.
Desired Skills
Relevant academic degree (CS/ CE / EE)
Python expert
At least 3 years as Group manager.
Experience in design and development of complex infrastructure.
Knowledge and experience in Linux - Must
Experience in design, coding, integration, and debugging capabilities
Self-starter, enthusiastic proactive mindset.

Requirements:
* The Background: Magshimim / Mamriot program trainee or graduate, or equivalent independent cybersecurity research and development experience.
* The Tech: Strong Python skills, hands-on experience building and consuming RESTful APIs, and standard cloud concepts.
* Infrastructure & Servers: Basic knowledge of working with servers and hands-on infrastructure (e.g., computer lab maintenance, hardware/software troubleshooting, or basic system administration).
* The Cyber Edge: Solid understanding of modern attack vectors, vulnerabilities, and security frameworks. You know how to simulate realistic threat vectors.
* The Communicator: You don't just sit behind a screen. You have excellent communication skills, a positive attitude, and the ability to "translate" deep technical engineering concepts into clear, logical stories for product and sales teams. You ask the right questions, collaborate naturally, and aren't afraid to speak up. Key Responsibilities
* Feature & API Integration: Own the end-to-end integration of new product features and capabilities into the company's master demo environment, leveraging and connecting various APIs to ensure smooth data flows.
* Attack Flow Validation: Design, script, and continuously validate realistic cyber attack scenarios and security flows to ensure the demo perfectly highlights our product’s value proposition.
* Environment & Server Maintenance: Maintain, troubleshoot, and optimize the demo infrastructure—including server setups, containers, cloud environments, and scripts—to guarantee 100% uptime and seamless performance during high-stakes client presentations.
* Cross-Team Collaboration: Work closely with Product, Engineering, and Sales Engineering teams to translate complex technical updates into clear, repeatable, and impactful demo scenarios.

Requirements:
4+ years of Backend Experience- Proven track record in building distributed systems and microservices.
Strong background in computer science or equivalent high-level hands-on expertise.
Experience with AI tools (e.g., Cursor, Claude code) into your workflow.
Experience building and supporting scalable, high-traffic systems.
Proactive, self-driven, and highly adaptable. Demonstrates the ability to thrive and excel in an environment where the status quo is constantly challenged.
Advantage:
Familiarity with Redis, Kafka, and message-queuing patterns.
Storage: Hands-on experience with both mySQL and Redis databases.
AI-Engineering: Experience with LLM orchestration (e.g., LangChain) or building AI-powered features.

Requirements:
4+ years of experience as a Data Engineer.
4+ years of Python and SQL experience.
4+ years of direct experience with SQL (Redshift/Snowflake), data modeling, data warehousing, and building ELT/ETL pipelines (DBT & Airflow preferred).
3+ years of experience in scalable data architecture, fault-tolerant ETL, and data quality monitoring in the cloud.
Hands-on experience with cloud environments (AWS preferred) and big data technologies (EMR, EC2, S3, Snowflake, Spark Streaming, Kafka, DBT).
Strong troubleshooting and debugging skills in large-scale systems.
Deep understanding of distributed data processing and tools such as Kafka, Spark, and Airflow.
Experience with design patterns, coding best practices, and data modeling.
Proficiency with Git and modern source control.
Basic Linux/Unix system administration skills.
Experience with AI tools and a strong interest in continuously exploring and applying them in everyday work are highly valued.
Nice to Have:
Familiarity with fintech business processes (funding, securitization, loan servicing, accounting).- Huge advantage
BS/MS in Computer Science or related field.
Experience with NoSQL or large-scale DBs.
DevOps experience in AWS.
Microservices experience.
2+ years of experience in Spark and the broader Data Engineering ecosystem.