Requirements:
Bachelor's degree in Computer Science or related field.
Minimum 5 years of experience in backend development.
Proficiency in utilizing Celery for task scheduling and distributed task execution - an advantage.
Strong understanding of Elasticsearch and Redis for efficient data storage and retrieval.
Experience with MySQL and Snowflake - an advantage.
Familiarity with Airflow for orchestrating complex workflows and data pipelines.
Proven track record of delivering high-quality solutions within tight deadlines.
Excellent communication and teamwork skills, with a proactive attitude towards problem-solving and idea generation.
Join our team of talented developers dedicated to pushing the boundaries of backend technology while fostering a collaborative and innovative work environment.

Requirements:
5+ years of software engineering experience
Development of a scalable server-side application
Experience with a variety of database technologies
Experience with Python and Go, or willingness to learn
Experience with distributed cloud products - advantage
Experience with cloud platforms (e.g. GCP / AWS / Azure) - advantage
Experience with Kubernetes / Docker - advantage
Experience with BQ / MySQL / Elasticsearch - advantage

Requirements:
5+ years of experience in data or backend engineering.
Strong knowledge of data services architecture, ML Ops, and ETL processes.
Experience with cloud-based data infrastructure, such as AWS, GCP, or Azure.
Experience with SQL and NoSQL databases.
Experience with Data Warehouse technologies such as Snowflake and Databricks.
Experience working with NodeJS, Python, or any other equivalent language.
Excellent communication and collaboration skills.
Bonus points:
Experience working with Typescript
Experience building infrastructure for Data Science
Experience working with BI developers and analysts to drive business value.
Experience administering and managing Databricks clusters
Experience with streaming technologies such as Amazon Kinesis and Apache Kafka
Experience working with serverless products such as AWS Lambda

Requirements:
Bachelors degree in Computer Science, Engineering, or a related field, or equivalent experience.
5+ years of professional experience in software development.
Strong understanding of ML/AI principles and experience with ML/AI frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Experience in developing and deploying ML/AI models in a production environment.
Experience with data processing and analysis using tools such as Python, R, or similar languages.
Knowledge of common ML/AI techniques, including supervised and unsupervised learning, neural networks, and natural language processing.
Experience in designing and implementing high-scale and high-availability systems.
Understanding of software development lifecycle (SDLC) practices.
Experience with Git version control.
Experience working in an Agile development environment and familiarity with Agile methodologies.
Excellent problem-solving skills and attention to detail.
Strong communication skills and ability to work collaboratively in a team environment.
Preferred Qualifications:
Proficiency in JavaScript and experience with Node.js.
Experience with front-end frameworks, particularly Vue.js.
Familiarity with the Go programming language.
Experience with cloud-based ML/AI services (e.g., AWS SageMaker).
Experience with cloud services such as AWS
Knowledge of containerization technologies like Docker and Kubernetes.
Familiarity with CI/CD pipelines and DevOps practices.
Experience with database management and design (SQL and NoSQL).
Contributions to open-source projects or participation in the tech community.

Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
5+ years of professional experience in software development, with at least 3 years as a Big Data Engineer.
Spark expertise (mandatory): Strong proficiency in Apache Spark, including hands-on experience with building data processing applications and pipelines using Spark's core libraries.
PySpark/Scala (Mandatory): Proficiency in either PySpark (Python API for Spark) or Scala for Spark development.
Data Engineering: Proven track record in designing and implementing ETL pipelines, data integration, and data transformation processes.
Cloud Platforms: Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
SQL and Data Modeling: Solid understanding of SQL, relational databases, and data modeling.
Big Data Technologies: Familiarity with big data technologies beyond Spark, such as Hadoop ecosystem components, data serialization formats (Parquet, Avro), and distributed computing concepts.
Programming Languages: Proficiency in programming languages like Python, Java, or Scala.
ETL Tools and Orchestration: Familiarity with ETL tools and frameworks, such as Apache Airflow.
Problem-Solving: Strong analytical and problem-solving skills.
Collaboration and Communication: Effective communication skills and collaboration within cross-functional teams.
Geospatial Domain (Preferred): Prior experience in the geospatial or location analytics domain is a plus.

Requirements:
* 5+ years of experience developing backend or cloud infrastructure and services in Python.
* 2 years experience developing client side platforms ( React preferred)
* 2+ years of experience in databases (preferably MySQL, Postgres).
* Building scalable, high-performance, tested and monitored systems.
* Experience with running production workloads on AWS platform, and maintaining them.
* Experience using CI/CD tools. http://b.sc/
At BeeHero you have the opportunity to be: Impactful: Your work will directly impact agricultural practices around the world, helping to create a more sustainable, resilient food supply. Supported: We offer competitive compensation packages, comprehensive benefits, and a work environment where your contributions are valued and recognized. Autonomous: BeeHero is dispersed by nature, which means we tend towards a flat org chart. You can and should be ready to take the initiative and be proactive with your ideas. Collaborative: Work alongside like-minded, passionate professionals who are dedicated to driving innovation and making a difference. If this resonates with you, we want to hear how you believe you can help!

Requirements:
Bachelor's degree in Computer Science, Software Engineering, or a related field from a reputable university, or equivalent experience gained at a renowned company.
A minimum of 3 years of hands-on experience in designing services and developing features within a microservices architecture.
Proven experience in designing and architecting large and scalable cloud-based applications.
At least 1 years of experience in designing and developing on AWS infrastructure.
Strong familiarity with agile development methodologies.
Exceptional drive, communication, and problem-solving skills.
Advantages (Nice-to-Have):

Experience with LLM or ML, with focus on data classification modules
Experience with Docker, Helm, and Kubernetes.
Experience with infrastructure as code tools like Terraform and AWS CloudFormation.
Familiarity with cloud platforms, AWS, Azure or GCP, with a focus on Storage or Databases.
Experience with Java or GoLang.
Experience working with large-scale management systems and optimizing system performance.

Requirements:
5+ years of software development experience
Proven deep knowledge of Java or other managed languages
Deep understanding of relational databases, concurrent programming, and performance tuning
Experience with microservices architecture
Familiarity with cloud infrastructure, Docker, Kubernetes & CI/CD
A disciplined approach to testing and quality assurance
Vast experience with large-scale production environments
Experience in investigating and resolving production issues
Ability to work independently and collaboratively in a fast-paced environment
Excellent problem-solving skills with keen attention to detail

Requirements:
Education and Experience:
Bachelors Degree in Computer Science or a related field
3-5 years of professional experience in backend development
Technical Skills:
Fluency in one or more modern coding languages (Python [preferred], Go, NodeJS etc.) - Must
Proficiency with NoSQL and\or SQL databases (e.g., MongoDB, PostgreSQL) - Must
Experience with cloud services (e.g., AWS, Azure, GCP)
Knowledge of messaging systems (e.g., Kafka)
Experience with microservice architecture
Strong emphasis on design and architecture
Experience with Kubernetes and Docker
Additional Skills:
Enthusiastic, curious, and driven developer
Fast learner and strong problem-solving skills
Good communication and teamwork abilities
Fluent in English and Hebrew, both written and verbal.

Requirements:
BS in Computer Science, equivalent knowledge, or equivalent military experience
5+ years of software engineering experience - Must
Experienced with a variety of database technologies (RDBMS / NoSQL)
Experience in distributed cloud products and architecture
Experience in designing, building, and maintaining high scale server-side application
Experience in Python / Go - an advantage
Experience with GCP - advantage
Experience with Kubernetes/Docker - advantage
Knowledge of the cyber field - advantage