דרושים » הנדסה » Software Engineer III, Performance, Google Cloud

Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Write and test product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Provide technical leadership on high-impact projects.
Influence and coach a distributed team of Engineers.
Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
Manage project priorities, deadlines, and deliverables.
Design, develop, test, deploy, maintain, and enhance large scale software solutions.

We are looking for an enthusiastic Junior Software Developer with an interest in GenAI technologies to join our innovative team. The ideal candidate will have foundational knowledge of Python programming, database concepts, and experience with Retrieval Augmented Generation (RAG). You will work alongside experienced developers to build and maintain cloud-native applications, gaining valuable experience with cutting-edge GenAI technologies in a supportive learning environment.
What You'll Do: Assist in developing and maintaining Python -based microservices with AI capabilities under guidance from senior team members. Learn to implement and optimize PostgreSQL database queries for AI applications. Support the development of RESTful APIs and contribute to integrating AI models into our systems. Gain hands-on experience working with foundation models from various providers in the AWS ecosystem. Apply prompt engineering techniques and best practices for GenAI applications. Contribute to building reusable components for AI model integration. Assist with data processing pipelines between knowledge bases and AI models. Participate in CI/CD processes for testing and deployment of AI systems. Develop understanding of responsible AI practices and implementation strategies.

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.

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.

we are hiring a Software Engineer to help revolutionize the world of observability. Using cutting-edge AI-driven technology, we are redefining how organizations monitor, analyze, and optimize their systemsmaking observability more intelligent, efficient, and accessible than ever before. As we scale, we seek top talent to push the boundaries of innovation and shape the future of AI-powered observability. If youre passionate about solving complex challenges and building game-changing technology, join us in transforming how the world understands and interacts with data.
Responsibilities:
End-to-end development and ownership of products and features, from design to scalable and predictable production behavior
Solve diverse and complex problems in a high-scale, cloud-native environment
Collaborate with other engineers and product managers to improve product functionality, scalability, and performance
Design, develop, and maintain robust, secure, and efficient software solutions
Ensure high system reliability by implementing best practices in monitoring, observability, and automation
Review code, architecture, and data to identify and troubleshoot technical and performance issues
Work with AI/ML teams to integrate AI capabilities, including model monitoring, evaluation, and fine-tuning.

As a Senior Back-End Developer, you will be responsible for designing, building, and optimizing the core backend systems that power our B2B social media management platform. You will develop scalable and high-performance solutions, contribute to architectural decisions, and collaborate closely with cross-functional teams to deliver impactful features. If you thrive in solving complex challenges, enjoy working with modern backend technologies, and are passionate about building robust and efficient systems, we want to hear from you!

Responsibilities:
Develop and maintain high-quality software solutions, from planning and design to testing, deployment, and maintenance.
Actively participate in technical discussions and contribute to architectural decisions.
Write clean, efficient, and scalable code while ensuring best practices in software development.
Collaborate closely with cross-functional teams, including Product, Design, and other developers, to deliver features effectively.
Provide technical guidance, share knowledge, and mentor other developers to improve overall team expertise.

We're seeking a Senior Full Stack Engineer with a backend orientation to take the development of high-performance, scalable, and distributed systems powering our analytics platform. You will drive the implementation of backend and frontend systems and contribute to data-driven capabilities at scale. Youll collaborate with product managers and other engineers to bring innovative features to life and deliver high-impact solutions to our customers.



RESPONSIBILITIES

Design and develop backend architecture for scalable, high-performance systems
Build a next-generation analytics web app on React
Build robust APIs and data services to power a next-generation analytics platform
Work with distributed systems, databases, and cloud infrastructure to ensure reliability and speed
Maintain and optimize backend & frontend services, pipelines, and application logic
Participate in code reviews, design discussions, and architectural planning

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 a highly skilled and experienced Performance Tech Lead to drive our performance engineering strategy and ensure our systems are highly scalable, reliable, and efficient.

This role is a unique opportunity to combine technical leadership, hands-on optimization, and cross-team collaboration, ensuring performance best practices are embedded across the development lifecycle.

As a Performance Tech Lead, you will define and implement performance testing frameworks, analyze system bottlenecks, and work closely with development, DevOps, and architecture teams to optimize application and infrastructure performance.

You will also provide performance as a service infrastructure, developing self-service tools and frameworks that enable development teams to independently run, analyze, and fine-tune performance tests based on their specific needs.

This role requires deep hands-on expertise, strong analytical skills, and a proactive approach to performance optimization.

Your Role & Impact:
Architect, develop, and scale performance testing infrastructure for load, stress, endurance/longevity, and scalability testing.
Provide performance as a service, building self-service performance testing frameworks that allow development teams to execute and analyze tests autonomously.
Establish and enforce performance KPIs, ensuring optimal system behavior under various workloads.
Conduct in-depth performance analysis, identifying and resolving bottlenecks in APIs, databases, agent, caching, and distributed systems.
Lead the adoption of performance best practices, embedding them into the development and CI/CD pipelines.
Provide mentorship, best practices, and technical guidance to engineering teams, ensuring a performance-first mindset.
Enhance observability and monitoring capabilities, implementing APM tools like Prometheus/Grafana.
Analyze customers incidents, proactively identifying trends and areas for performance improvement.
Advocate for a shift-left approach, ensuring performance considerations are addressed early in the SDLC.