דרושים » תוכנה » Software Engineer Team Leader - Data Pipeline

We are looking for a skilled and motivated Engineering Tech Lead to join our Data Science Engineering team. The ideal candidate will have a deep understanding of software development and the ability to guide technical solutions. This role requires a combination of technical expertise, strong problem-solving skills, and the ability to collaborate effectively with cross-functional teams. As an Engineering Tech Lead, you will play a crucial role in exploring and investigating solutions and technologies, contributing to technological and architectural decisions with a hands-on approach.
About the Data Science Group: The Data Science group is at the forefront of developing and implementing advanced machine learning models and solutions. Our team is composed of talented data scientists, engineers, and subject matter experts who work together to create a high-quality, production-ready surveillance product and services. We are committed to pushing the boundaries of technology and delivering impactful results for our clients.
Lets get down to business:
What Youll Do:
Develop and maintain software infrastructure and solutions to support the efficient development, deployment, and maintenance of machine learning models and our surveillance pipe solution in production.
Collaborate with data scientists, engineers, and subject matter experts to deliver high-quality, production-ready machine learning models and a fully integrated scalable solution.
Design and implement software architecture for machine learning solutions.
Work with containerized environments such as Kubernetes and Docker.
Utilize AWS for cloud-based machine learning solutions.
Conduct unit testing and ensure continuous integration and continuous deployment (CI/CD) practices are followed.
Work in a production environment and closely with data science teams to ensure seamless model deployment and maintenance.
Stay updated with the latest advancements in machine learning, software development, and related technologies.

We are looking for a Full Stack Team Lead to guide a talented team in building and evolving our incident Management Platform. A high-scale, real-time processing system designed to help teams detect, respond to, and resolve critical issues efficiently. The platform ingests and analyzes logs, metrics, and tracing data in real-time, enabling customers to set up mission-critical alerts tailored to their needs.

What Youll Do:
Lead and mentor a team of full stack developers, promoting best practices and continuous improvement.
Take ownership of end-to-end development of our products and features, from design and scalability to production.
Solve complex, high-scale problems and drive architectural decisions to ensure performance and scalability.
Collaborate closely with Product and Engineering teams to define priorities and enhance product quality.
Promote a culture of technical excellence through code reviews, mentorship, and team-building initiatives.

*This opportunity is available in a hybrid model from our TLV site or remotely within the EU time zone*

We are looking for an experienced Full Stack Team Lead to guide a talented team in building and evolving our platforms core features.

What Youll Do:
Lead and mentor a team of full stack developers, promoting best practices and continuous improvement.
Take ownership of end-to-end development of our products and features, from design and scalability to production.
Solve complex, high-scale problems and drive architectural decisions to ensure performance and scalability.
Collaborate closely with Product and Engineering teams to define priorities and enhance product quality.
Promote a culture of technical excellence through code reviews, mentorship, and team-building initiatives.

As a Machine Learning Software Engineer, you will join our AI Engineering group of our company:
Our goal is to deliver a modern infrastructure and solutions to enhance our company's algorithm development life cycle and shorten our delivery times.
We are an independent group, consisting of excellent and experienced engineers with diverse skills in software, infrastructure and algorithms.
We strive to implement a DevOps culture allowing our engineers to easily collaborate on large-scale products. We develop products that enable the research and deployment of state-of-the-art algorithms.
It develops the tools and sets the standards that allow great research.
What will your job look like:
Work closely with algorithm developers and infrastructure engineers to design, develop and automate the software that supports distributed training of deep learning algorithms.
Set the standard for developing reliable software, allowing reproducible research at scale.
Build and improve data pipelines to make the development process for deep learning algorithms more efficient.
Develop products that help algorithm developers test their models on large-scale real-world data. Our tech stack includes: Pandas, Polars, PyTorch, Kubernetes, Argo-Workflows, Spark, AWS.

Each of our Experienced Python Developers codes and enhances our products and frameworks, shaping the way of work for hundreds developers in our company. We focus on technology, reliability, and usabilityall this at exceptionally large scales of computing, storage, codebase, data, and more.
We are looking for a talented Python Developer to join us in scaling up our infrastructure and services, working across multiple teams in areas related to development, automation, algorithms and CI.
What will your job look like:
Collaborate with different algorithmic groups in our company
Work with highly experienced developers and architects.
Work on a large-scale system from its early stages and watch it evolve
Take part in the design & development of a multi-service cloud-based big data platform
Deliver a high-quality product, which is a standalone tool, fully developed in our team.
See your tools being used by hundreds of users, where every improvement, optimization, and a new feature is based on real requirements and is usually very significant to their daily work.

In this role, you will work closely with data scientists, analysts, and other cross-functional teams to understand their data needs and requirements. You will also be responsible for ensuring that data is easily accessible and can be used to support data-driven decision making.

Location: Ramat Gan, Hybrid Model

What will you do?

Design, build, and maintain data pipelines to extract, transform, and load data from various sources, including databases, APIs, and flat files
Enhance our data warehouse system to dynamically support multiple analytics use cases
Reimplement and productize scientific computational methods
Implement data governance policies and procedures to ensure data quality, security, and privacy
Collaborate with data scientists and other cross-functional teams to understand their data needs and requirements
Develop and maintain documentation for data pipelines, processes, and systems

We are looking for an experienced Software Developer specializing in generative AI technologies to build scalable, intelligent cloud-native applications. The ideal candidate will have strong expertise in Python programming and PostgreSQL database management, as well as proven experience integrating generative AI models into production systems. You will play a key role in designing AI-powered microservices and ensuring our applications leverage the latest advances in generative AI responsibly and effectively.
What You'll Do: Design and implement cloud-native microservices using Python with integrated AI capabilities. Create and optimize database schemas and queries in PostgreSQL for AI application workloads. Develop and maintain RESTful APIs and microservices with generative AI integration. Build applications leveraging foundation models from various providers in the AWS ecosystem and beyond. Develop effective prompt engineering strategies for consistent, high-quality AI outputs. Create reusable components for AI model integration and management across applications. Implement efficient data processing pipelines between knowledge bases and AI models. Build and maintain CI/CD pipelines for automated testing and deployment of AI systems. Ensure responsible AI practices, including appropriate monitoring, governance, and safety measures.
 
Position Intro:
We are the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. we have been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

As a team leader, you will take end-to-end ownership of a key domain within our Pricing and Rating group. You will be responsible for designing and delivering new features, driving architectural and infrastructural evolution, and ensuring production readiness. You are expected to lead both technically and organizationally, helping your team grow while maintaining high standards of engineering and delivery.
What youll do: Lead a team of skilled engineers, providing technical guidance and people management. Take full ownership of a critical area in our pricing and rating engine, leading both delivery and long-term direction. Drive the design, development, and delivery of scalable and high-performance components. Coach and mentor developers, fostering both technical and leadership growth. Promote continuous improvement of development practices, processes, and team agility. Collaborate closely with product, architecture, and cross-functional teams to align priorities and drive impact. Participate in and lead high-level design and architecture discussions.

We are looking for a DevOps Engineer to join our expanding team, responsible for cloud technologies, software development life cycle processes, and 24/7/365 production reliability. You will be promoting DevOps practices and collaborating in an engineering environment, where you will work closely with software architects, developers, and support engineers, to provide solutions to enable innovation and support our customers. What you’ll do: Identify, integrate, and adapt new cloud technologies to meet evolving needs Ensure high availability, reliability, and performance of Earnix’ services Develop and maintain CI/CD pipelines, tools, and processes Build and manage the Earnix platform and automation using Infrastructure as Code (IaC) principles Troubleshoot and resolve issues across development, testing, and production environments Document infrastructure, processes, and configurations for knowledge sharing and future reference

Position Intro:
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.