לוח משרות דרושים Senior Python Developer משרה מלאה

We are looking for a Senior Python Developer.
Responsibilities:
Hands-On Backend and Infrastructure development
Design and implement features and end-to-end product modules
Ownership of a mission-critical component in the company
Continuously improve the software engineering skills of your team, research new technologies with emphasis on quality, scalability, and performance
Collaboration with various stakeholders (Product, Sales, etc.)

Joining us means entering a career journey for seniors, building your tailored development roadmap. Here, you are the one to choose the technologies you want to practice, and steer your tech career to becoming a Backend Tech Lead.
While seniority doesn't signify the end of learning, it can often be difficult to find the time and hands-on experience to focus on your professional development.
you can choose what you want and need to learn, have a mentor to take you there, and the hands-on practice to "walk the talk".
Responsibilities:
Architect, design, and develop highly scalable and performant backend systems
Advanced algorithms, data structures, and distributed computing techniques
Develop and implement robust APIs
Leveraging industry best practices and standards, while ensuring flexibility, extensibility, and maintainability.
Implement data persistence solutions using both SQL and NoSQL databases,data modeling, query optimization, and indexing strategies.
Cloud-based infrastructures

We are looking for a Senior Data Engineer.
In your role as a Data Engineer, you'll be actively engaged in the most fascinating and demanding projects for our clients. Handling high-scale operations, heavy traffic, stringent SLAs, and massive data volumes is just the starting point. Our leadership in the realms of Big Data, Streaming Data, and Complex Event Processing (CEP) stems from our adept use of cutting-edge, optimal technologies.
Responsibilities:
Apply software-engineering methods and best practices (Medallion Architecture) in Data Lake management.
Develop Data pipelines to provide ingest and transformation of data.
Manage and enhance orchestrated pipelines across company
Data Modeling: Developing data models to ensure efficient storage, retrieval, and processing of data, often involving schema design for NoSQL databases, data lakes, and data warehouses.
Scalability: Ensuring that the big data architecture can scale horizontally to handle large volumes of data and high traffic loads.
Data Security: Implementing security measures to protect sensitive data, including encryption, access controls, and data masking.
Data Governance: Establishing data governance policies to ensure data quality, compliance with regulations, and data lineage.

We are looking for a Machine Learning Engineer to join our team as a Technical Lead. The Technical Lead will be integral to the data science feature development process, working with data engineering.
You will design machine learning pipelines, apply algorithms to generate predictions, tackle data set challenges, and develop the first-ever, real-time corporate credit score platform.
This isn't just another job; you'll be a key part of an exciting, experienced team in a fast-paced environment. This position does not involve managerial duties but rather entails leading technically.
You will:
Architect and engineer prompts for various AI models, including LLMs, to generate accurate and actionable outputs for security automation tasks.
Build forecasting/prediction models from scratch (POC) to production-ready
Work closely in aligning the product, research, and development teams in crafting the product, increasing product effectiveness
Collaborative mindset to improve the AI team, communicate with stakeholders, and shape research vision.
Take a critical role in the research process for finding the best market solutions for defined business problems
Guide the R&D team and product teams

This position is for someone who absolutely loves to code, mentor others and help us to drive innovation into our python stack and architecture.

Responsibilities:
Take responsibility and ownership of core services, supporting Millions of complex operations per day
Be part of a larger development team working together according to Agile methodology.

is looking for a QA Automation Developer to join our Endpoint group.
What kind of things we do?
Estimate, plan, and develop testing activities
Analyze the results of complex manual and automation tests
Initiating and implementing QA best practices and work processes
Act as a mentor and a technical focal point among the team
Initiate technical and process improvements
What are we looking for?
The QA Automation Developer will be responsible for conducting tests before product launches to ensure software runs smoothly and meets client needs, while being cost-effective, monitor all stages of software development to identify and resolve system malfunctions to meet quality standards
We are looking for a self-learner, with good logical thinking and multi-tasking capabilities that has a real passion for product quality tests.

Were looking for an exceptional data engineer to join our journey to create a data-based platform that will transform the shipping industry.
As a senior data engineer, you will take an instrumental part in laying the foundations and building the data infrastructure in the company, plan and implement the relevant data infrastructure and tools, be in charge of pipelining the companys data and be responsible for the integrity of the data as we scale up.
Responsibilities:
Contribute to the ongoing management of the data team platform including platform enhancements, capacity management, performance monitoring, troubleshooting and resolution of technical issues
Designing and optimizing data storage solutions, including data warehouses and data lakes.
Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
Developing and maintaining data pipelines for efficient extraction, transformation, and loading (ETL) processes.
Participate in proofs-of-concept on platform innovation, and effectively transition and scale those concepts into production at scale through, engineering, deployment and commercialization.
Part of a cross-disciplinary team, working closely with other data engineers, software engineers, data scientists, data managers and business partners.