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Join a top-tier mobile gaming team with millions of downloads worldwide and exciting new titles on the way. We're looking for a Data Analyst who’s passionate about digging into player behavior and game economy data, with strong hands-on skills in Predictions and segmentation. You’ll play a key role in shaping engaging and well-balanced experiences by analyzing how different player types interact with core loops, progression systems, and monetization mechanics. This is a cross-functional role where you'll collaborate closely with game economy designers, product managers, and developers to bring clarity, structure, and insights into how our economies serve different segments of players. What You’ll Do

* Build and maintain player segmentation models using gameplay, behavioral, and monetization signals.
* Analyze player behavior, level progression, and feature usage to surface actionable insights.
* Partner with game economy and product teams to fine-tune sources, sinks, pacing, and offers based on segment needs.
* Use Python and SQL to run deep-dive analyses, build pipelines, and automate recurring economy metrics.
* Design and evaluate A/B tests related to game economy, pacing, and progression.
* Present clear findings via dashboards and storytelling that inform product and economy decisions.

We are looking for a candidate with a proven ability to simplify, innovate, and transform complex systems into streamlined, adaptable, and intelligent applications that meet cutting-edge business needs. The ideal individual will be self-motivated and adept at addressing the data requirements of diverse teams, systems, and products. This role offers the opportunity to optimize and reimagine customers' data infrastructure, designing and scaling systems that power next-generation products and GenAI technologies. A strong focus on ensuring data quality, security, and governance across the organization is essential.



Responsibilities

Support sales processes by designing and delivering agile Data and AI projects in collaboration with the account managers, project managers, and delivery managers of .
Design and develop innovative Data and AI solutions tailored to meet customers' needs
Lead strategic discussions, including technical presentations, with business stakeholders to understand organizational data needs and identify opportunities to derive actionable insights, enabling data-driven decision-making and aligning data strategies with business objectives.
Own the technical solutions for data, analytics, AI, and ML projects.
Build POCs for customers (hands-on).
Deliver top-quality design and architecture documents to our customers.
Build and control training plans for the team members towards new technologies required for future projects.

We are seeking a highly skilled and motivated Hands-On GenAI Backend Team Lead to join our growing R&D team. In this pivotal role, you'll lead a small, high-impact team in the design, development, and deployment of our next-generation backend services and AI-driven workflows and GenAI applications. You will combine deep technical expertise with leadership, mentoring your team, and maintaining a hands-on approach to coding and architecture.

This role is ideal for a seasoned engineer with a passion for building robust, scalable systems and a proven track record in integrating cutting-edge technologies.

Key Responsibilities

Lead a team of backend developers, providing technical guidance, mentorship, and code reviews.
Architect and build high-performance, resilient, and scalable backend services using Python.
Design and implement end-to-end event-driven architectures utilizing AWS Step Functions.
Lead the integration of LLMs using AWS Bedrock to create innovative, AI-powered solutions.
Oversee the entire software development lifecycle, ensuring best practices for code quality, testing, and deployment.
Collaborate with product, data science, and other engineering teams to translate business requirements into technical solutions.
Maintain a hands-on role in coding, system design, and technical problem-solving.

seeking a skilled Salesforce Solution Architect to join our team. As a Salesforce Solution Architect, you will design and implement Salesforce solutions for our clients. You will collaborate with various stakeholders to understand business requirements and translate them into scalable and efficient Salesforce solutions. The ideal candidate will have a solid technical background in Salesforce, with demonstrated expertise in architecture design and implementation. We want to hear from you if you are passionate about Salesforce and enjoy working in a dynamic and challenging environment.

Responsibilities:

Designed and implemented Salesforce solutions for clients, ensuring scalability, efficiency, and best practices
Collaborate with stakeholders to understand business requirements and translate them into technical solutions
Lead and participate in project planning and estimation activities
Provide guidance and mentorship to development teams on Salesforce best practices and design patterns
Collaborate with cross-functional teams to integrate Salesforce solutions with other systems
Identify and resolve technical issues and challenges, driving continuous improvement and optimizing Salesforce solutions
Stay up-to-date with Salesforce platform updates, new features, and industry trends to provide innovative and effective solutions

looking for a Senior DevOps Engineer. The primary role of the Senior DevOps Engineer is to design and deploy complex cloud environments for customers, utilizing innovative automation tools and cutting-edge technologies. As a Senior DevOps Engineer, you will be responsible for setting up, maintaining, and evolving the AWS cloud architecture, supporting infrastructure monitoring and alerting, troubleshooting issues, and developing the required automation for our customers.

The DevOps Engineers work with the latest cutting-edge technologies, and these are some of the technology stacks that we perfect daily for our customers: AWS, Docker, Kubernetes, Jenkins, CI/CD, Terraform, Ansible, Lambda, Python, Go, AI/ML, Big data, IoT, and much more, while playing 8-Ball and Nintendo Switch.



Summary of Key Responsibilities

Assist in creating a tailor-made architecture
Managing multiple customer environments, working around industry best practices.
Acting as a trusted advisor for our customers
Deployment of advanced services on the cloud
Implement automation solutions
Maintain a feedback loop with the companys customers to ensure deliveries are following the customers needs and expectations
Debug, troubleshoot, and fix technical issues
Set up large-scale monitoring and logging solutions

As a Data Presales, you will work closely with Data Architects, Engineers, and Project Managers. Perform feasibility analyses, present data use cases, simplify and hold presentations in front of IT and non-IT people, and position the topic of data and AI with customers.



Responsibilities:

Support the Sales team by explaining opportunities in Big Data, Analytics, AI, and ML.
Guide clients to understand data: opportunities, threats, and action plans.
Conduct interviews, brainstorming sessions, and workshops with client teams and executives on data-related topics and projects.
Develop strategic and action plans.
Collaborate with external vendors and partner technologies.
Comprehensive project and team management of Data Scientists, Engineers, and other stakeholders.
Be an online and offline ambassador for the AllCloud data practice.

We are seeking a highly skilled Gen AI software engineer to design, develop, and deploy state-of-the-art, scalable, efficient Gen AI solutions. You will be part of a high-performing engineering team that values collaboration, innovation, and teamwork. This role is perfect for someone who thrives in an environment where ideas are shared, challenges are met together, and success is a collective achievement.



Responsibilities

Designed and implemented Gen AI platform components using Python and modern microservices.
Drive engineering and operational excellence and best practices.
Collaborate with tech, product, program, and business peers to deliver customer value and drive product vision.
Drive the end-to-end development of AI systems, from research and experimentation to deployment and scaling
Mentor and support engineers, fostering a culture of collaboration, knowledge-sharing, and continuous learning
Analyze complex problems and identify and define the requirements to solve them.
Apply DevOps principles to maintain high-performance and scalable AI systems.
Design and implement secure APIs, ensuring data protection and safe interaction with AI models.
Stay updated on the latest Gen AI trends and technologies, bringing fresh ideas to the team

As a Pre-Sales Solution Architect, you will be responsible for providing presale support to our clients, including demonstrations, documentation, proof-of-concept presentations, and other technical materials. You will also work closely with our delivery and sales teams to ensure that client requirements are fully understood and integrated.

As a trusted customer advocate, the Pre-Sales Cloud Solution Architect helps customers work with AWS cloud to adopt advanced cloud-based solutions and migrate existing on-premise workloads to the cloud. In this role, you will have the opportunity to help shape and execute a strategy to build mind share and broad use of AWS technologies.



Summary of Key Responsibilities

Collaboration with the sales and account managers to identify and understand customer needs, pain points, and business objectives
Provide technical expertise and guidance to customers, demonstrating a deep understanding of AWS services, cloud architectural best practices, and migration strategies
Design and develop innovative cloud solutions tailored to meet customers' needs, considering cloud best practices with an emphasis on security principles such as Zero Trust and Least Privilege.
Conduct and lead technical presentations to showcase the value and capabilities of AWS cloud solutions
Prepare and deliver proposals, technical documentation, and presentations that effectively communicate solution architectures to clients, including a detailed description of the Security Architecture.
Collaborate with internal teams, including solution architects, devops, and project managers, to ensure seamless transition from pre-sales to post-sales
Stay up-to-date with the latest AWS services, industry trends, and emerging technologies, continually expanding
Building strong relationships and providing ongoing technical guidance throughout the sales cycle

The ideal candidate is not afraid of data in any form or scale, and is experienced with cloud services to ingest, stream, store, and manipulate data. The Data Engineer will support new system designs and migrate existing ones, working closely with solutions architects, project managers, and data scientists. The candidate must be self-directed, a fast learner, and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or re-designing our customers data architecture to support their next generation of products, data initiatives, and machine learning systems.





Summary of Key Responsibilities



To meet compliance and regulatory requirements, keep our customers data separated and secure.
Design, Build, and operate the infrastructure required for optimal data extraction, transformation, and loading from a wide variety of data sources using SQL, cloud migration tools, and big data technologies.
Optimize various RDBMS engines in the cloud and solve customers' security, performance, and operational problems.
Design, build, and operate large, complex data lakes that meet functional / non-functional business requirements.
Optimize various data types' ingestion, storage, processing, and retrieval, from near real-time events and IoT to unstructured data such as images, audio, video, documents, and in between.
Work with customers' and internal stakeholders including the Executive, Product, Data, Software Development and Design teams to assist with data-related technical issues and support their data infrastructure and business needs.

We are looking for a HW engineer with experience with POCs, bring ups, integration and performance tests.

Responsibilities

Analysis and simulation of system performance and characteristics.
Hands-on system development and device characterization.
Leading the development and system integration of the scanner control sub-system and algorithms.
Developing system-level solutions with interfaces to other teams: Algorithms, RTL, ASIC, embedded SW, Hardware, optics, etc.
Researching novel system architecture concepts.

We are looking for a talented Embedded SW Architect to be part of this exciting journey.

Responsibilities

Designing SW architecture of high complexity heterogeneous multi-core ASIC device.
Definition of the different SW layers of the system and their relations: data-path, control-path and management.
Analyze top to bottom functionality and SW slices - RTOS, kernel, firmware, drivers.
Designing the SW according to automotive known standards such as safety and security standards.
Recommend and influence the ASIC HW architecture - performance, usability and visibility.
Responsibility for the definition of SW sequences such as boot procedure, fail-safe scenarios and more.

We are looking for a Senior Embedded SW Engineer to join our software development team, focusing primarily on Lidar calibration software and production line automation. This is a hands-on role where you'll work directly with cutting-edge hardware, develop calibration procedures for the lidar, and contribute to the architecture of mission-critical software systems.

Responsibilities

Calibration software development: Design, implement, and maintain calibration software, working closely with System Engineers.
Production line automation: Develop software solutions to automate manufacturing processes.
Software quality improvement: Enhance code quality, test frameworks, and development practices across the team.
Architecture & design: Contribute to high-level software architecture decisions and system design.
Cross-functional collaboration: Work closely with software, hardware and system engineers.

We are looking for a Senior Software Engineer to join our software development team, focusing primarily on Lidar calibration software and production line automation. This is a hands-on role where you'll work directly with cutting-edge hardware, develop calibration procedures for the lidar, and contribute to the architecture of mission-critical software systems.

Responsibilities

Calibration software development: Design, implement, and maintain calibration software, working closely with System Engineers.
Production line automation: Develop software solutions to automate manufacturing processes.
Software quality improvement: Enhance code quality, test frameworks, and development practices across the team.
Architecture & design: Contribute to high-level software architecture decisions and system design.
Cross-functional collaboration: Work closely with software, hardware and system engineers.

We are looking for a skilled System & Point Cloud Validation Engineer to join our great team.

Responsibilities

Gain in-depth knowledge of system requirements, system architecture, and features.
Design, implement and execution of tests to evaluate the performance and correctness of the system.
Work with all research and development disciplines (systems engineering, software, hardware, optics), actively participate in system design reviews, agree on the test approaches and have a discussion on the results.
Developing automation to achieve high accuracy, efficiency, and capacity - allowing the system tests to scale up.
Leading end-to-end system tests, organizing data, summarizing results, preparing reports and presenting them internally and to customers.