דרושים » תוכנה » Backend Software Engineer

Requirements:
4+ years of experience with Backend Engineering in a high-level programming language (e.g. Java, C#, Golang)
Experience with cloud platforms (e.g. AWS, GCP, Azure)
Experience with microservices based architecture
Experience with databases and message queue technologies
Experience with continuous integration and deployment (CI/CD)
Bachelor of Science in Computer Science/Software Engineering or related field.

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:
A minimum of 3 years of experience in developing complex backend systems
At least 2 years proficiency in Python(production environment)
Experience in Docker
Proven track record in identifying and troubleshooting performance and scalability bottlenecks within a distributed ecosystem running hundreds of microservices
Experience with FastAPI or Django or Flask frameworks
Experience in high-level design
Demonstrated ability to produce high-performance, Testable, Maintainable, and Reusable code
Agile methodology practitioner
Experience in a Production SaaS environment
Strong command of Linux environments
Experience with at least 2 of these Data Bases - MySQL, ElasticSearch, MongoDB, Redis
Ability to learn quickly and independently
Advantages:
Experience in Kubernetes
Proficiency with cloud technologies and services, such as AWS (EC2, S3, Lambda, Streaming, EMR, EKS) or GCP/ Azure
Knowledge in the Cyber security field.
Advanced CI and DevOps technologies Jenkins, Git, Helm.
Experience applying AI or LLMs (Large Language Models) for productivity enhancements or to power product featurese.g., using AI to automate enrichment, boost development and processes, classify intelligence or assist in threat hunting workflows.
Experience in Networking/ Network Security Platform (WAF, DDOS, Load Balancers, FW devices)
Our Tech Stack:
SaaS Web Application
AWS cloud
Kubernetes & Microservices architecture
Databases MySQL, ElasticSearch, Redis, MongoDB
Streaming Platforms like Kafka
Monitoring tools Prometheus, Grafana, Kibana etc
& more.

Requirements:
5+ years of experience in backend and systems programming (Go / Python / NodeJS / Java / C#)
Cloud internal deep knowledge (AWS / GCP / Azure)
Experience with the design of distributed systems, microservices architectures, and event-based architectures for runtime systems at scale
Experience with Docker / Kubernetes or similar
Ownership, Responsibility and professionalism
Ability to learn quickly and independently
Great interpersonal skills
Bonus Points:
Contributions to the open-source community (GitHub, Stack Overflow, blogging)
Existing exposure to Go, AWS, Cassandra, Redis, Kafka, Elasticsearch...
Prior experience in the cybersecurity or intelligence field
Experience with AI-powered developer tools

Requirements:
5+ years of experience as a Software Engineer
2+ years of people management experience
Bachelor's degree in Computer Science, Engineering, or a related field
Experience with modern programming Languages: Python / JavaScript / C# / Java / Golang / Scala
Experience with writing code in Agile, CI/CD based environments
Advantage: experience working on large-scale cloud-based services
Flexibility and resilience in a dynamic environment
Strong leadership skills with a track record of leading and mentoring technical teams
Excellent problem-solving and analytical abilities
Can-do attitude!

Requirements:
Bachelors degree or equivalent practical experience.
5 years of coding experience in one or more of the following languages: C, C++, Java, or Python.
5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
3 years of full-stack development experience (for all or part of your work product) using Java, Objective C or Python.

Preferred qualifications:
Experience in C#, Core, Python, or other programming languages.
Experience with security technologies such as SIEM, SOAR, and EDR.
Experience as an architect or technical lead on large project.
Experience as technical leader in the design and development of large software systems in a structured engineering environment.
Understanding of backend systems, APIs, databases, and cloud technologies (e.g. GCP).

Requirements:
At least 3 years of leadership experience as a team leader or similar role, managing backend software development teams.
Proven track record leading major efforts, prioritizing tasks, and delivering high-quality results within set timelines.
Hands-on production experience with backend systems at large scale.
Strong expertise with distributed systems, message queue technologies
e.g., Kafka, Kinesis, SQS), and key-value databases (e.g., Aerospike, Redis).
Experience working with cloud platforms (e.g., AWS, GCP, Azure).
Excellent communication skills and an inherent willingness to help others.
You might also have
Understanding of distributed stream processing
Previous ad-tech experience

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:
6+ years of experience as a Backend and/or Machine Learning Engineer.
Bachelors degree in Computer Science or a related field from a leading university.
Proficiency in Python and Java or C#.
Experience with ML and Generative AI frameworks such as LLMs, LangChain, Hugging Face, TensorFlow, or PyTorch.
Deep understanding of software architecture and deployment patterns (e.g., microservices).
Strong problem-solving skills and the ability to quickly develop working solutions.
Excellent communication and collaboration capabilities.
Self-starter attitude with a passion for continuous learning.
Bonus if you have:
M.Sc. in Computer Science, Software Engineering, or a related field.
Experience developing and scaling LLM-powered applications.
Familiarity with DevOps practices including CI/CD pipelines and cloud infrastructure.

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.