Senior Backend Developer
Develop and maintain server-side application logic for high-traffic gaming software using Ruby. Conduct unit tests, perform code reviews, and implement observability solutions to ensure system performance and scalability.
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Develop and maintain server-side application logic for high-traffic gaming software using Ruby. Conduct unit tests, perform code reviews, and implement observability solutions to ensure system performance and scalability.
The Customer Success Engineer acts as the primary technical owner for enterprise accounts, driving onboarding, adoption, and long-term resilience strategies. They are responsible for conducting recovery simulations, managing churn risk, and aligning technical outcomes with business goals for C-level stakeholders.
You will build and maintain Python services and APIs for managing GPU virtual machines and bare-metal servers within a cloud infrastructure. Additionally, you will automate provisioning workflows, integrate hardware into Kubernetes, and investigate production issues across the control plane.
Design and build advanced evaluation environments for frontier deep learning models, including LLMs and agentic systems. Develop novel methodologies to assess model performance and translate evaluation signals into actionable decisions for research and product teams.
You will lead technical initiatives for GitLab's Git data storage tier, focusing on performance, scalability, and reliability. You will also take operational ownership of systems, including incident response and cross-functional collaboration with infrastructure and engineering teams.
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You will drive product and business impact by improving search engine ranking, precision, and relevance. This involves developing new lexical-matching signals and investigating LLMs for feature generation while maintaining high quantitative rigor.
The engineer will act as a technical leader and architectural anchor for integrating external partners via API contracts. They will also drive the development of modern web interfaces that consume these integrated partner services.
Review and verify AI-generated transcripts for accuracy, consistency, and adherence to project guidelines. Identify and correct issues related to punctuation, capitalization, and text normalization while maintaining the original meaning.
Implement and maintain end-to-end AI solutions, focusing on the scalability of LLM pipelines and agentic workflows. Collaborate with product and data teams to integrate production-grade APIs and optimize system performance using evaluation-driven development.
The Senior Data Engineer will design and maintain large-scale cloud data infrastructure, including efficient pipelines and microservices. They will collaborate with product owners to organize disparate data sources and optimize performance for healthcare applications.
Conduct information security management system audits for various standards across Poland and internationally. Prepare post-audit documentation in English and participate in product development, training, and market implementation.
Conduct information security management system audits for clients across Poland and internationally. Prepare post-audit documentation and contribute to product development, testing, and training delivery.
The WebMethods Platform Developer & Administrator is responsible for managing, maintaining, and supporting the IBM/Software AG WebMethods integration platform across all environments. This role ensures high availability, performance, and security while coordinating upgrades, migrations, and infrastructure modernization projects.
The Quality Assurance Auditor I is responsible for conducting internal audits to ensure compliance with regulatory requirements and company SOPs. They also assist with external client audits, regulatory inspections, and the investigation of non-conformities.
You will develop and maintain the model risk management framework while performing independent validations of AI and machine learning models. Additionally, you will collaborate with stakeholders to assess model risks such as bias and explainability, ensuring compliance with regulatory standards.
You will lead the planning, execution, and delivery of complex, cross-functional Enterprise Technology and AI programs. This involves aligning stakeholders, defining success metrics, and driving decision-making across various business domains.
The software engineer will work within an engineering scrum team to develop mission-critical, real-time public safety software solutions in the cloud. They will focus on creating maintainable, scalable, and performant enterprise-level systems while collaborating effectively with cross-functional teams.
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The SAP SuccessFactors Solution Architect will lead the design, implementation, and optimization of the core HR technology landscape, acting as a bridge between business stakeholders and technical teams. Responsibilities include defining integration architecture, managing data quality, and providing expert guidance on SuccessFactors capabilities and release management.
Collaborate with cross-functional teams to design and implement frontend and backend components while developing RESTful APIs. You will also optimize application performance and leverage LLMs to enhance underwriter productivity.
The Senior Business Analyst will define analytical approaches, set project directions, and ensure business objectives are met within complex IT projects. They will act as a liaison between stakeholders, UX designers, and development teams to document functional requirements and validate technical solutions.
Develop and maintain RESTful APIs for managing GPU clusters and cloud infrastructure while bridging the gap between development and operations. You will participate in the full lifecycle management of compute products and design architectures focused on high availability and scalability.
The developer will work on cloud-based fleet management, telemetry processing, and the design of DynamoDB usage following AWS best practices. They will also be responsible for developing Node.js microservices, managing message brokers, and configuring observability tools like Grafana and Prometheus.
You will operate and improve AWS infrastructure, including networking, compute, and databases, while managing Terraform codebases and EKS clusters. Additionally, you will participate in on-call rotations, automate operational tasks, and collaborate with development teams to ensure platform reliability and security.
You will design and maintain data pipelines using Apache Airflow while collaborating with Data Science teams to deploy models. Additionally, you will develop automated test scripts and conduct end-to-end testing across front-end, API, and database layers.
You will design, develop, and deploy production-ready machine learning and generative AI solutions, including autonomous agent systems. The role involves building econometric models and integrating LLMs with existing APIs and data sources.
Develop and maintain a large-scale native Android application with over 10 million users, focusing on performance and quality. Design and implement efficient CI/CD pipelines while ensuring scalable architecture using MVVM and Clean Architecture.
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Review, evaluate, and validate AI-generated content to ensure accuracy and quality. Annotate and label various data types while providing clear feedback based on project guidelines.
The Forward Deployed Engineer will architect and adapt data-driven technology solutions while working directly with NGO partners in the field. They will serve as the primary technical point of contact, managing deployments and training partner staff to improve operational impact.
The PDU Power Infrastructure Manager serves as the global subject matter expert responsible for monitoring, firmware management, and lifecycle planning of PDU assets. This role partners with engineering and operations teams to forecast growth and ensure reliable, scalable power infrastructure across the global network.
Design and optimize end-to-end data solutions, including ingestion, processing, and storage, across cloud and legacy environments. Collaborate with cross-functional teams to modernize data systems while ensuring high standards of data quality, security, and performance.
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