Platform Engineer 12 applicants
Manage and maintain self-hosted or cloud-based Kubernetes clusters and Linux server infrastructure. Implement infrastructure as code using tools like Terraform and manage configurations via Puppet or Ansible.
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Manage and maintain self-hosted or cloud-based Kubernetes clusters and Linux server infrastructure. Implement infrastructure as code using tools like Terraform and manage configurations via Puppet or Ansible.
The role involves designing, implementing, and managing geo-distributed network and infrastructure solutions. Key tasks include maintaining bare metal servers, virtualization systems, and automating administrative tasks to support development teams.
Design and maintain high-quality backend systems using PHP and Symfony while owning features from technical design to production release. Mentor junior engineers and collaborate with cross-functional teams to ensure code reliability and scalability.
Design, build, and maintain core backend systems and scalable APIs within an Agile team. Lead technical discussions, mentor other engineers, and ensure high code quality through reviews and testing.
Design realistic AI training tasks and reference solutions based on complex structural engineering challenges. Review AI-generated engineering solutions for technical accuracy and compliance with design codes.
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Develop a comprehensive testing strategy for the API surface and improve developer experience by standardizing tooling and infrastructure. Design and execute load, stress, and scalability tests while mentoring product engineers to foster a culture of quality.
Design realistic AI training tasks and reference solutions based on complex structural engineering concepts. Review AI-generated engineering solutions for technical accuracy and compliance with design codes.
Design, build, and operate the systems and infrastructure used by Arista's development teams to automate CI/CD, testing, and visualization. This includes maintaining build systems, troubleshooting network issues, and ensuring high availability of infrastructure.
Own the end-to-end experimentation and causal inference frameworks to drive data-driven decision-making across the organization. Establish methodological standards and produce rigorous research to support product, marketing, and operations stakeholders.
Own the technical dimension of airline deployments from qualification through closure and expansion. Design integration architectures and serve as the technical authority between commercial promises and engineering reality.
Design and scale intelligent conversational data interfaces using Databricks Genie to enable natural-language querying of enterprise data. Build and optimize data pipelines in Delta Lake and curate semantic metadata to ensure accurate SQL generation.
Lead the design and deployment of end-to-end AI lifecycles and scalable computer vision pipelines for healthcare clients using the Databricks Lakehouse. Act as a strategic advisor on clinical validation, regulatory compliance, and MLOps architecture.
Lead the end-to-end M&A integration process from pre-close operational due diligence to post-close stability. Develop the company's integration playbooks and coordinate functional workstreams to ensure deal value realization.
Own the end-to-end architecture and technical direction of a high-scale B2B payments platform. Lead the design of resilient distributed systems while mentoring senior engineers and establishing engineering best practices.
Lead the design, implementation, and delivery of scalable Oracle Fusion Sales solutions for global enterprise clients. Collaborate with stakeholders in Taiwan to align technical architectures with business objectives and oversee complex integrations.
The role involves developing innovative communication solutions and crafting personalized customer experiences. The candidate will contribute to a global team to revolutionize how the world interacts using AI and software engineering.
Drive technical sales cycles by conducting discovery, delivering polished demos, and managing end-to-end POC engagements. Collaborate with R&D and Customer Success to align product roadmaps with customer security requirements.
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The role involves managing requirements and business processes for the CADE2 IMF Modernization project at the IRS. Key duties include utilizing tools like IBM ELM and JIRA to ensure traceability and facilitating business transitions through process reengineering.
Design and implement deep learning architectures for 3D volumetric medical imaging and develop survival models for time-to-event prediction. Optimize large-scale training pipelines on cloud GPU infrastructure and contribute to research publications.
Own the end-to-end development of customer-facing features across the marketplace and campaign management tools. Integrate foundation models into reliable product experiences and develop AI-powered workflows for creator-led growth.
Contribute production-quality code to the application and infrastructure to implement security hardening and automation. Define secure-by-design patterns, lead threat modeling, and manage the bug bounty program and Secure SDLC.
Design and build agentic AI flows and backend features for GitLab Duo Chat using Python and Ruby on Rails. Integrate generative AI models and orchestrate multi-agent workflows to improve the DevSecOps platform's natural-language interface.
Establish and lead QA practices for an AI-first SaaS platform, owning the testing pyramid from the ground up. Design and execute test strategies across UI, API, and integrations while managing bug reporting and release validation.
Own the reliability, observability, and delivery of a multi-tenant cloud-native Kubernetes platform. Build AI-first operational infrastructure, including inference gateways and automated incident response systems.
Lead the development of AI-powered platform features and first-party integrations from proof-of-concept to production. Collaborate with cross-functional teams to design scalable architectures while mentoring junior engineers and maintaining security standards.
The role focuses on researching emerging threats and adversarial tradecraft to develop actionable detection and defensive capabilities. It involves simulating adversary behavior to validate security controls and collaborating cross-functionally to improve the overall security ecosystem.
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The role involves designing and delivering unstructured data solutions for enterprise customers in the Nordics and Netherlands. Key tasks include leading technical deep-dives, running Proof of Concept deployments, and partnering with OEM specialists to advance sales opportunities.
Lead the delivery of high-quality full-stack software solutions across digital products using an AI-first engineering approach. Manage multiple concurrent projects, coordinating work across distributed teams while owning technical direction and delivery timelines.
Design and deploy machine learning models for NLP and time-series forecasting, specifically building LLM-driven systems for financial data. Develop high-performance backend microservices in Go and Python to ensure scalable, low-latency AI inference pipelines.
Design and implement high-performance user interfaces and foundational front-end ecosystems for web applications and APIs. Collaborate with cross-functional teams to ensure secure, scalable, and accessible user experiences.
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