דרושים » מחשבים ורשתות » Senior Software Engineer ( Cloud group)

Job Description: We are looking for an enthusiastic Developer who is passionate about coding, cybersecurity, and eager to develop their skills in cloud technologies to join our Cloud and K8s Group. The successful candidate will have experience working in cloud environments and will contribute to developing cloud-related features. Proficiency in Scala (or alternatively JAVA, Kotlin), NodeJS (Typescript), Kubernetes, Docker, Kafka, and data queues is essential for this position, as you will play a key role in enhancing our cloud CTEM offering. Key Responsibilities:
* Contribute to the development of cloud-related features to support and improve our existing offerings.
* Streamline deployment processes and ensure system reliability by demonstrating expertise in Kubernetes and Docker.
* Develop modular and scalable solutions while leveraging microservices and jobs architecture.
* Utilize advanced data processing techniques with tools such as Spark, Flink, written in Scala to improve system performance.
* Contribute to the enhancement of system reliability at scale through hands-on experience with large-scale applications.

We are looking for a Senior Full Stack Engineer with a backend orientation who excels at solving complex challenges and is passionate about building robust and scalable systems. In this role, you will work closely with a talented team of developers, Product, Design, and Data Science to deliver innovative solutions that have a meaningful impact on users' lives.
As a senior engineer, you will focus on backend development while contributing to frontend implementation as needed. You will take full ownership of your projects, from concept to deployment, in a fast-paced and highly collaborative environment, while also mentoring team members and driving technical excellence.
Our Technology Stack:
Node.js, React Native, Redux, ReactJS, Scala, Play, Microservices, AWS, Docker, Kubernetes, MongoDB, Redis, PostgreSQL, Spark, Elasticsearch, Kafka, and more.
Responsibilities:
Backend Development: Design, implement, and maintain backend systems that process and analyze large-scale data.
Full Stack Contribution: Develop features end-to-end, integrating both frontend and backend functionality.
Build scalable, efficient, and secure backend services using Node.js and other technologies.
Collaborate with the Data Science team to integrate advanced algorithms into backend systems, driving data-driven products.
Partner with Product Managers and Experience Designers to brainstorm, strategize, and execute features and improvements.
Ensure architecture and systems are reliable, maintainable, and scalable for future growth.
Lead by example, mentoring junior engineers and contributing to code reviews.
Continuously evaluate and adopt cutting-edge technologies to improve system performance and engineering practices.

We are looking for a Senior Software Engineer to join the ride as we spearhead the next revolution in electronics!
Responsibilities
Develop and maintain robust, scalable, and secure Java-based software solutions
Collaborate with product managers, architects, and other engineers to design and implement new features
Build and optimize data processing pipelines for high-volume analytics applications
Ensure software quality through code reviews, unit testing, and integration testing
Participate in architectural decisions, contributing to the design of cloud-based systems
Monitor and optimize system performance to meet scalability and reliability goals
Troubleshoot, debug and resolve issues in development, staging, and production environments.

Were looking for a Senior Software Engineer with a passion for solving tough technical challenges, working across the stack, and building systems that matter. This is your opportunity to work on an advanced, real-world product involving computer vision, edge computing, and scalable cloud architecture.
🚀 What Youll Do:
Design and implement robust, scalable components across the software stack.
Take end-to-end ownership of complex featuresfrom concept to deployment.
Collaborate with product managers, system engineers, and AI researchers to build integrated solutions.
Contribute to a high-performance platform that combines real-time sensor data, video analytics, and cloud services.
Build and maintain CI/CD pipelines and automated test frameworks.
Lead with qualitywriting clean, testable code and applying TDD principles.
Mentor teammates, share knowledge, and help set best practices across the team.

At our company, were reinventing DevOps and MLOps to help the worlds greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if youre willing to do more, your career can take off. And since software plays a central role in everyones lives, youll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust our company to manage, accelerate, and secure their software delivery from code to production - a concept we call liquid software. Wouldn't it be amazing if you could join us in our journey?
About the Team
We are seeking a highly skilled Senior Data Engineer to join our company's ML Data Group and help drive the development and optimization of our cutting-edge data infrastructure. As a key member of the company's ML Platform team, you will play an instrumental role in building and evolving our feature store data pipeline, enabling machine learning teams to efficiently access and work with high-quality, real-time data at scale.
In this dynamic, fast-paced environment, you will collaborate with other data professionals to create robust, scalable data solutions. You will be responsible for architecting, designing, and implementing data pipelines that ensure reliable data ingestion, transformation, and storage, ultimately supporting the production of high-performance ML models.
We are looking for data-driven problem-solvers who thrive in ambiguous, fast-moving environments and are passionate about building data systems that empower teams to innovate and scale. We value independent thinkers with a strong sense of ownership, who can take challenges from concept to production while continuously improving our data infrastructure.
As a Data Engineer at our company's ML you will...
Design and implement large-scale batch & streaming data pipelines infrastructure
Build and optimize data workflows for maximum reliability and performance
Develop solutions for real-time data processing and analytics
Implement data consistency checks and quality assurance processes
Design and maintain state management systems for distributed data processing
Take a crucial role in building the group's engineering culture, tools, and methodologies
Define abstractions, methodologies, and coding standards for the entire Data Engineering pipeline.

We are looking for an experienced Backend Developer to join the OptiPromo team. You will be responsible for designing, building, and maintaining scalable backend services that empower our Promotions capabilities. Youll work in a modern, cloud-native environment with a strong focus on performance, scale, reliability, and clean software design.
Responsibilities:
Design and implement backend services using Java and Node.js, following OOP principles
Design and build batch and streaming data pipelines using Apache Beam
Develop scalable, secure, and observable services using GCP tools such as BigTable, Dataflow, and BigQuery
Define and use Protobuf-based DTOs to support structured data exchange across services
Collaborate closely with product and architecture teams to extend the promotion engine and related systems
Write clean, testable, and efficient code based on SOLID principles
Participate in code reviews, design sessions, and contribute to technical documentation

We are making the future of Mobility come to life starting today.
At our company we support the worlds largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models - driving efficient operations and maximizing utilization.
At the heart of our platform lies the data infrastructure, driving advanced machine learning models and optimization algorithms. As the owner of data pipelines, you'll tackle diverse challenges spanning optimization, prediction, modeling, inference, transportation, and mapping.
As a Senior Data Engineer, you will play a key role in owning and scaling the backend data infrastructure that powers our platformsupporting real-time optimization, advanced analytics, and machine learning applications.
What You'll Do
Design, implement, and maintain robust, scalable data pipelines for batch and real-time processing using Spark, and other modern tools.
Own the backend data infrastructure, including ingestion, transformation, validation, and orchestration of large-scale datasets.
Leverage Google Cloud Platform (GCP) services to architect and operate scalable, secure, and cost-effective data solutions across the pipeline lifecycle.
Develop and optimize ETL/ELT workflows across multiple environments to support internal applications, analytics, and machine learning workflows.
Build and maintain data marts and data models with a focus on performance, data quality, and long-term maintainability.
Collaborate with cross-functional teams including development teams, product managers, and external stakeholders to understand and translate data requirements into scalable solutions.
Help drive architectural decisions around distributed data processing, pipeline reliability, and scalability.

Required Senior Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Senior Algo Data Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

We are seeking a highly skilled and experienced Staff Software Engineer to join our MLE-Backend group. The ideal candidate will have a strong background in distributed systems, data engineering and software engineering, and will be responsible for leading the design, development, and deployment of top quality data pipelines, data lake and an ML feature platform.
What you'll be doing
System Design and Architecture: Develop and maintain robust, scalable, and efficient distributed systems and data pipelines to help build the new generation of ironSource's ML feature platform.
Research and Innovation: Stay current with the latest advancements in machine learning data pipelines, feature stores, and apply innovative techniques to improve data aggregations, monitoring, cleaning & filtering and preparing for ML training.
Cross-Functional Collaboration: Work closely with data scientists, software engineers and product managers to build the data lakes and data pipelines.

we are seeking a passionate Senior Platform Engineering Developer to help build the next generation of our Internal Platform for Engineering. If youre driven by the challenge of designing and developing cutting-edge infrastructure and tools, this is the opportunity for you. As a Platform Engineer at our company, you will be responsible for designing, developing, and managing an internal multi-cloud platform tailored for engineers. You will collaborate closely with product managers, developers, DevOps, and other engineering teams to build platform features and capabilities that enhance deployment processes, observability, monitoring, security, and cost optimization, all while ensuring the scalability, availability and stability of our company's SaaS.
As a Senior Platform Engineering Developer at our company, you will...
Take part in designing, developing, and extending the capabilities of our company internal platform and SaaS, ensuring they meet the evolving needs of engineering teams and our company customers
Develop scalable cloud-native solutions that leverage AWS, Azure, GCP, and Kubernetes, empowering teams with efficient and reliable infrastructure. Collaborate with product managers to align platform development with business objectives, ensuring the platform delivers maximum value to our company's SaaS customers
Continuously improve developer productivity by creating self-service tooling, minimizing manual interventions, and integrating cloud and Kubernetes services
Work with diverse and cutting-edge technologies, including Kubernetes, k8s Operators, ArgoCD, Prometheus, OpenTelemetry, Kafka, MongoDB, Falco, etcd, Helm, Istio, Crossplane, and Kyverno, while developing expertise in these areas.